Anthropic is a U.S.-based artificial intelligence (AI) research and development company founded by former OpenAI members. Specializing in language models and information systems, Anthropic is committed to advancing AI with a strong focus on responsible and ethical use. The company offers career opportunities for ML engineers, software engineers and research engineers to help shape the future of trustworthy AI technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As a Business Systems Analyst at Anthropic, you will serve as the strategic bridge between business needs and technical execution across our Go-To-Market (GTM) systems ecosystem. Acting as a product owner, you will help drive the vision, strategy, and roadmap for systems including Salesforce, Clay, Hubspot, Gong. Your primary focus will be on optimizing enterprise GTM processes, analyzing complex business requirements, and translating strategic goals into scalable, measurable solutions. You'll work collaboratively with the GTM infrastructure team and cross-functional teams to ensure our GTM systems deliver exceptional value and enable our rapid growth. Responsibilities: Serve as product owner for products/processes involving the GTM systems stack, defining vision, strategy, and multi-quarter roadmap aligned with business objectives Partner closely with the technical teams to prioritize and scope technical implementations, ensuring seamless collaboration between business strategy and system execution Gather, document, and analyze complex business requirements from Sales, Marketing, Customer Success, and Partner teams for enterprise selling workflows Translate business needs into detailed user stories, functional specifications, and solutions that drive system improvements Lead discovery sessions and requirements workshops with stakeholders to understand pain points, identify opportunities, and define success metrics Design end-to-end business processes and system workflows that optimize lead-to-revenue operations, pipeline management, and customer lifecycle stages Conduct gap analysis to evaluate current-state processes versus desired future state, recommending solutions that balance quick wins with strategic transformations Own the product backlog for GTM systems, working with stakeholders to prioritize initiatives based on business impact, effort, and strategic alignment Lead user acceptance testing (UAT) initiatives, coordinating with business users to validate solutions meet requirements and deliver expected outcomes Create comprehensive documentation including process flows, system architecture diagrams, data dictionaries, and training materials Drive change management initiatives to ensure successful adoption of new processes and system implementations across the organization Act as subject matter expert on GTM systems capabilities, best practices, and industry trends You may be a good fit if you: Have 5+ years of experience as a Business Systems Analyst, Business Analyst, or Product Manager focused on GTM/Revenue Operations systems Possess deep understanding of enterprise B2B sales processes, including account-based selling, multi-stakeholder deal cycles, and complex opportunity management Have proven experience working with GTM technology stacks such as Salesforce (Sales Cloud, CPQ), marketing automation platforms (Hubspot, Marketo), conversation intelligence tools (Gong), and routing/enrichment tools (LeanData, Clay) Demonstrate exceptional analytical and problem-solving skills with the ability to synthesize complex information and identify actionable insights Have strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities in an agile environment Possess excellent stakeholder management skills and can influence cross-functional partners without direct authority Are a strategic thinker who can balance big-picture vision with tactical execution and attention to detail Have experience with data analysis, creating dashboards, and using data to drive decision-making (SQL knowledge is a plus) Can effectively communicate technical concepts to non-technical audiences and business requirements to technical teams Are proactive and self-directed, able to identify problems before they escalate and drive solutions independently Have worked in high-growth SaaS or technology companies where you've scaled systems and processes rapidly The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$190,000&mdash;$270,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Business Systems Analyst - GTM

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.We are seeking a senior Real Estate Portfolio Manager to join Anthropic's Workplace and Real Estate team to lead strategic planning, portfolio optimization, and a team of real estate professionals across our global footprint. This high-impact role will develop comprehensive real estate strategies, conduct rigorous market and financial analyses, and deliver executive-level recommendations to our CFO and senior leadership. The Real Estate Portfolio Manager will oversee a team including a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist, building a high-performing function that brings the strategic rigor and analytical sophistication of established corporate real estate organizations to our rapidly scaling AI company. Responsibilities: Strategy &amp; Executive Communication Develop comprehensive real estate strategy documents that synthesize market analysis, financial modeling, and location recommendations for CFO and executive leadership review Lead strategic portfolio planning including scenario modeling for growth, market entry/exit decisions, and long-term footprint optimization Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations Conduct in-depth market analyses including competitive positioning, labor market dynamics, talent availability, and cost-of-occupancy comparisons across target markets Build and maintain sophisticated financial models for real estate decisions including NPV analysis, lease vs. buy scenarios, and total cost of occupancy projections Partner with Finance on capital planning, real estate budgeting, and investment justification for major portfolio decisions Portfolio &amp; Program Oversight Develop location strategy frameworks that align real estate decisions with business unit requirements, talent strategy, and corporate objectives Oversee occupancy planning and demand forecasting efforts, translating headcount projections into actionable space requirements and timing recommendations Direct lease administration strategy including portfolio risk assessment, lease restructuring opportunities, and critical obligation management Establish portfolio performance metrics and reporting frameworks that provide executive visibility into real estate investments and outcomes Partner with external advisors (brokers, consultants, legal) to execute strategic initiatives and negotiate favorable terms Identify portfolio optimization opportunities including consolidation, expansion, or repositioning strategies that enhance operational efficiency and reduce costs Team Leadership Manage and develop a team of two direct reports: a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist Set clear goals and priorities for the team, ensuring alignment with broader real estate and company objectives Provide coaching, mentorship, and professional development opportunities to build team capabilities Foster a collaborative, high-performance culture that emphasizes quality, accountability, and continuous improvement Allocate resources effectively across strategic initiatives and operational demands You may be a good fit if you: Have 10+ years of progressive experience in corporate real estate strategy, portfolio management, or real estate finance, with at least 3-5 years in a people management role Have a proven track record of developing and presenting real estate strategies to executives Possess sophisticated financial modeling skills including NPV, IRR, scenario analysis, and total cost of occupancy methodologies Have deep expertise in market analysis including labor economics, competitive positioning, and location strategy development Are an exceptional writer who can synthesize complex analyses into compelling strategic narratives and executive-ready documents Have demonstrated success building and leading high-performing teams Have experience managing portfolios of significant scale and complexity across multiple geographies Can operate with autonomy and drive strategic initiatives with minimal direction Have strong executive presence and can confidently present recommendations to senior leadership Thrive in fast-paced, high-growth environments where you can build processes and frameworks from the ground up Strong candidates may also: Have experience in high-growth technology companies navigating rapid scaling challenges Hold an MBA or advanced degree in real estate, finance, or related field Have relevant certifications such as CoreNet MCR or CCIM Bring consulting experience from firms specializing in corporate real estate strategy Have experience with international market entry and global portfolio optimization Have led major strategic initiatives such as headquarters relocations, portfolio consolidations, or market expansions The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$185,000&mdash;$275,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Real Estate Portfolio Manager

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team The Frontier Red Team (FRT) is a technical research team within Anthropic’s Policy organization. Our goal is to make the entire world safer in this era of advanced AI by understanding what these systems can do and building the defenses that matter. In 2026, we're focused on researching and ensuring safety with self-improving, highly autonomous AI systems—especially ones with cyber-physical capabilities. See our previous related work on cyberdefense, robotics, and Project Vend. This is early-stage, high-conviction research with the potential for outsized impact. About the Role This Research Scientist will focus on scoping, evaluating, red teaming, and defending against societal risks caused by advanced models that emerge over the next few years. Powerful AI models may have major implications for national security, running a business, power and privacy, infrastructure, social relationships, and more. They may come as a result of the increasing integration of powerful models in our economy and social sphere. As an independent Research Scientist, you’ll build a research program to understand these Emerging Risks. You’ll build evals, run experiments, and look for real world signals to understand how these may come about. You’ll turn this into insights we can use to steer the development and use of the technology more positively. Compared to the team's other focuses, you will focus less on acute catastrophic risks and more on risks that emerge from increasing integration into our world. What You’ll Do: Design and run research experiments to understand the emerging risks models may create Produce internal &amp; external artifacts (research, products, demos, dashboards, tools) that communicate the state of model capabilities Shape product,&nbsp; safeguards, and training decisions based on what you find Work closely with Societal Impacts (SI) and Safeguards teams Sample Projects: Build, run, and study an autonomous AI-powered business (e.g. Project Vend), then identify the growth of real autonomous businesses in the wild using Clio and other tools Build a benchmark for a model’s national security capabilities Red team unsafeguarded models’ abilities to be used for control Identify indicators of models being used to scale movements that rely on social control You May Be a Good Fit If You: Are a fast experimentalist who ships research quickly Have experience creating a research program from scratch Are thoughtful about humanity’s adaptation to powerful AI systems in our economy and society Can communicate thoughtfully in written + spoken form with a wide range of stakeholders Can scope ambiguous research questions into tractable first projects Strong candidates may also have experience with: Building &amp; maintaining large, foundational infrastructure Building simple interfaces that allow non-technical collaborators to evaluate AI systems Working with and prioritizing requests from a wide variety of stakeholders, including research and product teams The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$350,000&mdash;$850,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Research Scientist, Frontier Red Team (Emerging Risks)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We're looking for an SEO Lead to join Anthropic's growing marketing team. You'll own organic search strategy and technical SEO infrastructure across Anthropic's web properties — including claude.ai, docs.anthropic.com, and anthropic.com — ensuring our products and developer resources are discoverable, performant, and well-positioned in an evolving search landscape. This is a high-impact, hands-on individual contributor role at the intersection of marketing, engineering, and data. You'll independently define and execute the technical SEO roadmap, drive site experimentation and conversion optimization, and make strategic recommendations that shape how we invest in organic growth. You'll partner closely with engineering, content, and analytics teams to scale organic discovery — operating with a high degree of autonomy while keeping cross-functional stakeholders aligned. As AI reshapes how people search for and discover information, you'll also help define our strategy for emerging search experiences like AI Overviews and answer engines. This role is ideal for someone who thrives in fast-moving, technically complex environments — and who is energized by the opportunity to build foundational SEO infrastructure at a company whose products are at the forefront of AI. &nbsp; Responsibilities Technical SEO Strategy &amp; Infrastructure Own technical SEO strategy and execution across all Anthropic web properties Implement and maintain sitemaps, structured data (JSON-LD), canonical tags, redirect strategies, and robots.txt across multiple domains Optimize site speed, mobile performance, and Core Web Vitals across documentation and marketing properties Monitor crawl efficiency, indexing status, and search performance using Google Search Console and log file analysis Establish SEO observability and monitoring infrastructure with automated alerting for technical issues Develop and maintain the SEO playbook for international expansion, including hreflang implementation and localized content optimization Documentation &amp; Content Optimization Build and own the content roadmap — spanning developers, enterprise decision-makers, and prosumers — to support organic discovery of our core products by partnering with product marketing, developer relations, education teams, and more Audit and optimize documentation search rankings and information architecture for developer-focused content Partner with engineering teams on documentation platform configuration and optimization Build SEO best practices directly into content management and documentation workflows Optimize content structure and markup for AI Overviews and other LLM-powered search experiences Analytics, Experimentation &amp; Performance Build and maintain dashboards (Google Analytics 4, BigQuery, Hex) to track search visibility, rankings, and organic traffic Conduct regular technical audits using tools like Screaming Frog, Ahrefs, SEMrush, and Google Search Console Design, execute, and analyze A/B and multivariate experiments across key conversion flows (signup, onboarding, upgrade) using experimentation platforms like Statsig Define experiment hypotheses, ensure statistical rigor in test design and analysis, and translate results into actionable recommendations Monitor and analyze performance in AI-powered search environments, including AI Overviews and other answer engines Cross-Functional Partnership Collaborate with engineering teams on platform implementation, CDN configuration, and web infrastructure decisions Partner with content and product marketing teams on information architecture, content strategy, and messaging optimization for search intent Coordinate with data science and analytics on measurement, reporting, and user behavior insights Present SEO performance, experiment results, and strategic recommendations to leadership and cross-functional stakeholders You may be a good fit if you: Have 5+ years of technical SEO experience, ideally at a developer tools, SaaS, or technical product company Have deep understanding of how search engines crawl, render, and index JavaScript-heavy sites and static site generators Have expertise in complex technical SEO challenges: site migrations, canonicalization, redirect strategies, and duplicate content resolution Have strong knowledge of HTTP status codes, CDN configuration, DNS, and web infrastructure Are proficient with HTML and CSS, with the ability to review code for SEO issues Have hands-on experience with SEO tools (Screaming Frog, Ahrefs, SEMrush) and Google Search Console, including log file analysis and crawl budget optimization Have experience optimizing documentation sites and technical content for developer audiences Take a data-driven approach to identifying and prioritizing SEO opportunities using analytics and crawl data Have experience running controlled experiments on websites, with a solid understanding of statistical significance, sample sizing, and test design Have strong project management skills and can manage multiple technical initiatives simultaneously Communicate effectively and can influence cross-functional stakeholders, including engineering teams Are excited about Anthropic's mission to develop AI that is safe, beneficial, and steerable Strong candidates may also have: Experience with documentation platforms (Mintlify, Docusaurus, GitBook, ReadMe) Familiarity with JavaScript frameworks and modern web development stacks Experience with Cloudflare CDN configuration and optimization Knowledge of Segment, BigQuery, Google Analytics 4, Hex, or similar data infrastructure Experience with schema markup and structured data implementation (JSON-LD) Background in B2B SaaS, developer tools, or AI/ML products Understanding of developer search behavior and technical content discovery patterns Experience with international SEO and multilingual content optimization Experience scaling SEO programs — establishing processes, building infrastructure, and enabling teams Understanding of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies for LLM-powered search Experience optimizing content for AI Overviews, featured snippets, and entity-based search results The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$200,000&mdash;$255,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

SEO Lead

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: Anthropic’s Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet. We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements. The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI. Responsibilities: Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months You may be a good fit if you: Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment Are proficient in Python and JavaScript/Node.js; React experience is a strong plus Have experience building and maintaining system integrations—REST APIs, event-driven pipelines, or ETL workflows—in a production environment Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation Bring enough business context to ask the right questions when a Finance stakeholder explains a problem—you don’t need to be an accountant, but you need to care about getting it right Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch Are energized by working close to the business—you want to see the impact of your code, not just ship features Strong candidates may also: Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity Have built SOX-compliant systems or supported an external audit related to financial systems Have deep understanding with ASC 606 revenue recognition or consumption-based billing models Be a power user of Claude Code or similar AI-assisted development tools Have experience at a high-growth technology company navigating system consolidation Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$205,000&mdash;$265,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:&nbsp;A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Finance Systems Engineer, Revenue

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are hiring our first Singapore-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.&nbsp; Note: Specialists in this role will work Wednesday to Sunday Responsibilities: Become an expert in all Anthropic products Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses&nbsp; Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: Have experience in providing technical product support within a second tier, escalated, or priority support team. Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC. Are proficient at working in a technical environment and are interested in Anthropic’s products Possess a deep sense of ownership, and are excited to help us build our team! Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:&nbsp;A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Support Specialist (Singapore - Weekend Coverage)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As a Technical Program Manager for Marketing Technology, you will lead our Marketing Mix Modeling (MMM), incrementality testing, brand measurement, and marketing data infrastructure programs. You'll orchestrate complex, cross-functional initiatives spanning vendor partnerships, data infrastructure, experimentation design, and stakeholder alignment to build world-class marketing measurement capabilities for Anthropic's growth. You'll serve as the central coordinator between Data Science, Growth Marketing, Brand Marketing, Product, Engineering, Data Infrastructure, Privacy, Finance, and external partners including MMM vendors, media platform partners, and agencies. This role requires someone who can navigate technical complexity, drive alignment across diverse stakeholders, and translate between business strategy and technical execution across both performance and brand measurement. As the program lead for our measurement infrastructure, you'll be responsible for delivering our MMM proof-of-concept, establishing ongoing experimentation frameworks, designing and executing brand lift studies, leading the strategic assessment and migration of infrastructure, and building the operational foundations that enable data-driven marketing investment decisions at scale. Responsibilities: Marketing Measurement Intelligence: Lead end-to-end program management for MMM proof-of-concept execution, and transition to production operations. Design and execute comprehensive incrementality testing programs including geo-based experiments, conversion lift studies, and in-platform tests with media partners to calibrate and validate MMM outputs. Lead brand lift study design and execution across media platforms to measure awareness, consideration, favorability, and intent. Synthesize measurement results across MMM, brand lift, and incrementality testing for holistic marketing effectiveness views, building reporting frameworks that connect brand health metrics to business outcomes. MarTech Infrastructure &amp; Vendor Management: Support strategic assessments of marketing technology platforms, facilitating cross-functional evaluation and driving stakeholder alignment on build-vs-buy decisions while mapping dependencies and identifying blockers. Serve as key contact for vendors and agencies, managing relationships, business reviews, and coordinating execution with implementation roadmaps. Establish operational excellence standards including monitoring, alerting, version control, automated privacy validation, and incident response protocols while maintaining executive visibility into platform initiatives and working with Legal and Security on vendor reviews.&nbsp; Marketing Workflow Automation: Partner with Marketing leadership to identify, prioritize, and support deployment of AI-powered automation solutions for marketing operations. Establish governance frameworks, quality standards, validation processes, and monitoring mechanisms for automated marketing workflows. Build sustainable operating models for ongoing automation maintenance and continuous improvement. Track and measure automation impact to demonstrate ROI to leadership and cross-functional teams. Act as a center of excellence to socialize successful automation stories within Marketing to the broader Anthropic organization. You May Be a Good Fit If You: Have 7+ years of technical program management experience, with 3+ years in marketing measurement, analytics infrastructure, or data science programs Have a track record of successfully managing complex programs involving data science, marketing operations, engineering, agencies, and vendors Possess deep understanding of MMM, attribution, incrementality testing, brand lift studies, and experimentation design Have strong technical fluency with customer data platforms, marketing data sources, data warehouses, and analytics platforms Have experience evaluating and migrating between marketing technology platforms or data infrastructure systems Can engage with data scientists on regression analysis, causality, adstock modeling, and experimental design Understand CDP architecture including event collection, tag management, streaming delivery, reverse ETL, and privacy compliance Are familiar with privacy regulations (GDPR, CCPA) and data sovereignty requirements Have a track record of delivering 0-to-1 programs on aggressive timelines with high visibility Excel at translating technical concepts for varied audiences and can influence without authority Thrive in ambiguous situations, bringing structure to complex challenges with competing priorities and limited resources Have excellent written and verbal communication skills with executive presence and strong presentation abilities Are passionate about Anthropic's mission and interested in the challenges of bringing frontier AI capabilities to market Deadline to apply:&nbsp;None, applications will be received on a rolling basis.The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$290,000&mdash;$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical Program Manager, Marketing Technology

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.&nbsp;The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Python or Rust You may be a good fit if you Have significant software engineering experience, particularly with distributed systems Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Want to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Representative projects across the org Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage Contributing to new inference features (e.g., structured sampling, prompt caching) Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis.The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:£325,000&mdash;£390,000 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Staff Software Engineer, Inference

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an Enterprise Account Executive, Transportation &amp; Utilities based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's transportation and utility infrastructure organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them improve operational resilience, optimize asset performance, and deliver safer and more efficient services with Anthropic's AI solutions. Responsibilities: Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's railway operators, airlines, logistics providers, electric and gas utilities, and water infrastructure organizations Build and execute territory plans, identifying high-value opportunities across national and regional rail groups, major carriers, electric power companies, and municipal utility providers Lead consultative sales processes with senior executives — including CIOs, CDOs, COOs, and heads of operations and safety — positioning AI as a driver for predictive maintenance, energy management, operational efficiency, and infrastructure resilience Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent safety, reliability, and regulatory standards governing Japan's critical infrastructure sectors You may be a good fit if you have: 8+ years of enterprise sales experience in Japan with significant exposure to transportation and/or utility accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach A track record of managing complex, long-cycle sales processes and securing strategic deals with infrastructure-focused organizations by understanding the safety, regulatory, and operational requirements unique to these sectors Demonstrated ability to navigate the stakeholder ecosystems of asset-heavy industries, building consensus across operations, engineering, IT, and executive leadership with multiple layers of approval Proven experience exceeding revenue targets by effectively managing pipeline across the long planning and procurement cycles typical of infrastructure organizations A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to identifying opportunities within Japan's transportation and utility sectors combined with patient, relationship-focused execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Japanese and English What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Access to cutting-edge AI technology and world-class research team Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Enterprise Account Executive - Transportation/Utilities

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic’s Global Safety, Intelligence, and Security (GSIS) team is responsible for protecting our people, facilities, and operations worldwide. The function spans intelligence, executive protection, investigations, travel and event security, security technology, security operations, environmental health and safety, and crisis management — and it’s growing quickly as Anthropic’s footprint, public profile, and threat surface all expand. We’re looking for a senior operational leader to own the day-to-day resilience of every Anthropic location worldwide. Reporting to the Head of GSIS, you’ll lead three tightly connected functions — physical security operations, environmental health and safety, and event security — across a global office portfolio that includes specialized environments such as research labs. You’ll manage a growing team of practitioners and an existing EHS program, and you’ll be the person leadership turns to when something needs to be safe, secure, and operational, every day, in every location. This is an unapologetically operational role. You’ll set the standards, run the programs, manage the vendors, own the metrics, and answer for outcomes when something goes wrong at 2am in a different time zone. You’ll partner closely with Real Estate and Workplace, People, Legal, IT, and the rest of the GSIS leadership team — and you’ll work alongside the Head of Protective Services on high-profile events where the threat picture and the operational footprint converge. The right person is equally comfortable writing an OSHA-compliant program from scratch, walking a new office build with a contractor, briefing an executive on event-day security posture, and coaching a guard force supervisor through an incident debrief. Responsibilities Lead global physical security operations Own physical security strategy, standards, and execution across all Anthropic offices globally — including access control, intrusion detection, visitor management, guard force operations, and after-hours response Manage the contract guard force vendors end-to-end: selection, SLAs, performance management, and renewal — holding partners to a standard worthy of the company they’re protecting Build and maintain global physical security standards that scale with new office openings, ensuring consistency without ignoring the realities of local jurisdictions, building stock, and threat environments Partner with Real Estate and Workplace on new site selection, build-outs, and retrofits to ensure security and life-safety requirements are designed in, not bolted on Own incident response for physical security events and lead after-action reviews that drive concrete program improvements Run a true Environmental Health and Safety program Lead Anthropic’s global EHS program, ensuring compliance with OSHA and equivalent international workplace safety regulations across all locations Oversee EHS for specialized environments including research labs — covering hazard assessment, chemical hygiene where applicable, ergonomics, emergency action plans, and incident reporting and investigation Manage and develop the existing EHS program, and grow the function as the company’s footprint expands Own workplace safety training, recordkeeping, and the evidence base needed for audits, insurance renewals, and regulatory inquiries Own event security globally Lead security planning and execution for major Anthropic events — both internal (all-hands, offsites, milestone gatherings) and external-facing (launches, recruiting events, public-facing convenings) Partner closely with the Protective Services team on events involving senior leadership or elevated threat profiles, ensuring clean handoffs and unified command Build a repeatable event security operating model — site surveys, threat assessments, staffing plans, communications protocols, run-of-show integration — so every event clears the same bar without reinventing the playbook Manage event security vendors and contracted staff across regions Lead and grow the team Manage a growing team of physical security, EHS, and event security professionals — hiring, developing, and retaining practitioners who can operate independently across regions and time zones Set performance expectations, run a real operating cadence, and create the kind of team where people want to build careers Sit on the GSIS leadership team alongside peers leading Intelligence/Investigations/Insider Risk, Protective Services, Public Sector Security, and other pillars — contributing to overall function strategy and cross-pillar initiatives You may be a good fit if you Have 15 years of relevant experience Have substantial leadership experience running physical security operations at a multi-site or global organization, with direct accountability for outcomes — not just oversight Have owned or directly managed an OSHA-regulated EHS program, including for specialized environments such as labs, R&amp;D facilities, or similar Have led security planning and execution for major events, including external-facing events with elevated visibility or threat profiles Have managed contract guard forces at scale and know how to get real performance out of a vendor relationship Are an experienced people manager who has built and developed teams of security and safety practitioners Bring strong judgment under pressure — you can make the right call when information is incomplete and the clock is running Write and communicate clearly across audiences, from frontline officers to executive leadership Care about Anthropic’s mission and the unique resilience considerations that come with building frontier AI systems Strong candidates may also Hold relevant credentials such as CSP, ASP, CHMM, CPP, PSP, or equivalent Have worked at a high-growth technology company, frontier research organization, or similarly high-scrutiny environment Have stood up physical security or EHS programs in new offices or new countries from the ground up Have direct experience with lab safety, chemical hygiene plans, or research environment EHS Have led security operations during a significant incident, crisis, or sustained threat event Have managed third-party security and EHS providers across multiple regions and regulatory regimes Logistics This is a hybrid role and can be based near any Anthropic office Approximately 25% travel expected to support global operations, site assessments, and major events This role is for operators who take pride in the unglamorous work of keeping people safe and operations running — if you want ownership, scope, and a team worth building, we’d like to meet you. Deadline to apply: None. Applications will be received on a rolling basis.The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$275,000&mdash;$340,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:&nbsp;A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Head of Resilience Operations, Global Safety, Intelligence & Security

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at the world's largest financial institutions, insurance companies, and other highly regulated enterprises to address their most critical questions about deploying Claude safely and securely. This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. You'll help customers understand Claude's security architecture, data handling practices, and deployment options, and partner with them to design solutions that meet their specific regulatory and organizational requirements. You'll bring significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer at a cloud or security vendor, what matters is that you understand how large institutions evaluate and adopt technology, especially in financial services, and can speak credibly to their security and compliance concerns. We are looking for someone excited to help define how enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you. Responsibilities: Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models. Partner with CISOs, security architects, and compliance teams at financial services and insurance companies to understand their security requirements and design solutions that meet regulatory standards (SOC 2, SOX, PCI-DSS, GDPR, state insurance regulations, etc.). Lead technical deep-dives on network architecture, data residency, API security, authentication/authorization, audit logging, and integration patterns for regulated environments. Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance. Collaborate with Sales and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment. Partner closely with Anthropic’s product and engineering teams to deeply understand Claude's security capabilities, provide real-time customer feedback on feature gaps and priorities, help assess technical feasibility of customer-specific security requirements, and influence roadmap priorities. Develop and maintain security-focused collateral, reference architectures, and best practices documentation for regulated industries. Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings. You may be a good fit if you have: 8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (financial services, insurance, healthcare). Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements. Experience navigating compliance frameworks relevant to financial services and insurance (SOC 2, SOX, PCI-DSS, GDPR, CCPA, state insurance regulations, banking regulators' guidance on AI/ML). A track record of engaging with CISOs, security teams, and compliance officers at large enterprises. Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity. Excellent communication skills, including the ability to explain complex security topics clearly to both technical and non-technical audiences. The ability to navigate ambiguity and move fast in a rapidly evolving market. A collaborative mindset: sales at Anthropic is a team sport. Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly. Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$240,000&mdash;$270,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Applied AI Security Architect

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As the Beneficial Deployments Marketing Lead at Anthropic, you will be the strategic architect of our social impact marketing efforts, positioning Claude as the trusted AI partner for global nonprofits, higher education institutions, life sciences researchers, and organizations focused on public health and economic mobility. This is a pivotal role that requires deep understanding of the social impact ecosystem combined with the ability to craft compelling narratives around AI's potential to benefit underserved communities worldwide. You'll serve as the dedicated marketing interface for our Beneficial Deployments team—a large, cross-functional team dedicated to working to ensure AI benefits reach communities that need it most. Working closely with product, partnerships, sales, and communications teams, you'll bring partnership launches, features, and impact stories to market while ensuring cohesive messaging across diverse, mission-driven verticals and audiences. This role demands someone who can set vision and strategy while being hands-on with execution—from launching product capabilities like Claude for Nonprofits and sector-specific MCP integrations, to quarterbacking demand generation campaigns that drive adoption across grantmaker organizations, operating nonprofits, research institutions, and beneficial deployments in emerging markets. Working at the intersection of AI ethics, global development, and growth marketing, you'll help shape industry conversations around responsible AI deployment while driving measurable pipeline and impact results. This is an opportunity to define how AI reaches and benefits the communities that need it most—supporting our ambitious reach and impact goals. Responsibilities: Develop and execute comprehensive marketing strategy for Beneficial Deployments across key verticals, with global remit: nonprofits, higher education, life sciences/public health, and economic mobility Craft differentiated positioning and messaging for distinct audiences within each vertical—from grantmaker foundations, operating nonprofits, scientific research institutions, workforce development partners, and mission-driven technology organizations Lead go-to-market for product and solution launches including sector-specific SKUs (e.g., Claude for Nonprofits), relevant MCP integrations (LMS platforms, nonprofit, scientific research tools, etc.), and accessibility features Partner with communications on executive thought leadership regarding AI's potential to benefit underserved communities, including flagship announcements in the context of key initiatives such as Claude for Life Sciences and Claude for Global Health&nbsp; Drive thought leadership initiatives including impact reports and case studies that quantify Claude's real-world benefit (e.g., SROI measurement) Design and execute demand generation campaigns for scaled programs including AI for Science grants, nonprofit accelerator cohorts, and grantmaker partnership programs&nbsp; Identify and prioritize key conferences across social impact, global health, education, and nonprofit sectors and coordinate strategic presence and speaking opportunities Write and refine copy for solutions pages, campaign materials, and partner-facing content across segments Partner with design on visual assets that resonate with mission-driven audiences across US and global markets Work with our integrated campaigns and social team on Beneficial Deployments-related content calendar and posts that highlight impact stories and partnership announcements Build and maintain tracking infrastructure to measure campaign performance across channels (e.g., nonprofit verification flows, partner referrals, cohort conversions) Enable sales and partnerships teams with enablement materials, outbound campaigns, and pipeline-driving initiatives for nonprofit enterprise accounts and higher education institutions Support co-marketing initiatives with corporate philanthropic partners and government partnerships&nbsp; You may be a good fit if you: Have 8+ years of marketing experience with meaningful exposure to the social impact, nonprofit, higher education, or tech-for-good space&nbsp; Have experience in a .org or social impact function at a B2B enterprise company or at a mission-driven technology organization serving nonprofits, education, or public sector Possess a balanced skill set combining product marketing/messaging expertise with demand generation and campaign execution Demonstrate proven success in both strategic vision-setting and hands-on execution (comfortable building decks, managing multi-channel campaigns, owning pipeline metrics) Have experience marketing across multiple audience segments simultaneously—comfortable tailoring messaging for C-suite foundation executives, nonprofit program managers, government officials, and researchers Are comfortable in a 0-to-1 environment—can build processes where none exist and thrive in ambiguity across diverse verticals Show expertise in navigating sensitive topics around AI ethics, equity, accessibility, and responsible deployment in underserved contexts Possess exceptional communication and storytelling skills, with ability to translate complex AI capabilities into compelling impact narratives Excel at cross-functional collaboration—comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams Are a quick learner who can absorb context on complex programs rapidly across sectors as different as life sciences research and workforce development Are passionate about AI's potential to benefit underserved communities while maintaining focus on responsible, equitable deployment Strong candidates may also: Have worked across multiple social impact verticals (nonprofits, higher education, global health, government/public sector, workforce development) and understand their distinct buying cycles and stakeholder dynamics Possess experience marketing to international audiences, including comfort with emerging market contexts (Africa, India, Southeast Asia) and government partnerships Have experience with partnership marketing and co-marketing with foundations, NGOs, corporate philanthropic arms, and government agencies Show proven track record of building marketing programs from scratch at a growth-stage company Have established relationships within social impact conferences (Skoll, SOCAP), education conferences (EDUCAUSE, ASU+GSV), or life sciences/public health communities Demonstrate experience launching enterprise products with tiered pricing or discount programs (similar to nonprofit SKU launches Have background in impact measurement, program evaluation, or working with organizations like IDinsight on SROI methodologies Show success managing multiple concurrent campaigns across diverse program areas and geographies Possess experience with both enterprise sales-assisted motions and product-led growth strategies in mission-driven contexts Have exposure to life sciences research, public health systems, or workforce development ecosystems Have experience with AI or machine learning technology marketing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.&nbsp; Deadline to apply: None. Applications will be reviewed on a rolling basis.&nbsp;The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000&mdash;$320,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Solutions Marketing Lead, Beneficial Deployments

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As the Public Sector Solutions Marketing Lead at Anthropic, you will be the strategic architect of our agency, federal, state, local and international government marketing efforts, positioning Claude as the trusted AI partner for policy makers, public sector knowledge workers and beyond.&nbsp; This is a pivotal role that requires deep understanding of the public sector ecosystem combined with the ability to craft compelling positioning and messaging around AI's&nbsp; benefit to citizens and residents worldwide. You’ll serve as the dedicated marketing interface for Anthropic's Public Sector teams, owning the coordination and execution between public sector initiatives and Anthropic's broader marketing function. Working closely with sales, product, partnerships and communications teams, you’ll be responsible for bringing public sector launches, features, and messaging to market through various channels while ensuring cohesive positioning across audiences.&nbsp; This role demands someone who can set vision and strategy while being hands-on with execution—from launching product capabilities like Claude for Government and sector-specific MCP integrations, to quarterbacking demand generation campaigns that drive adoption. Working at the intersection of AI ethics, global development, and growth marketing, you'll help shape industry conversations around responsible AI deployment while driving measurable pipeline and impact results. Responsibilities: Develop and execute comprehensive marketing strategy for Public Sector across key verticals: federal agencies, state and local government, defense, regulatory bodies, public utilities and more. Craft differentiated positioning and messaging across solutions pages, campaign materials and content for distinct audiences within the vertical. Lead go-to-market for product and solution launches including sector-specific offerings and relevant MCP integrations and skills (LMS platforms, nonprofit, scientific research tools, etc.). Partner with communications on executive thought leadership regarding AI's potential to benefit underserved communities, including flagship announcements in the context of key initiatives like Claude for Government. Work with the social and content teams on a public sector content calendar that highlights use cases, case studies, and partnership announcements. Drive thought leadership initiatives and speaking / event opportunities relevant to the public sector&nbsp; Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for public sector enterprise accounts and higher education institutions Report on which channels and campaigns are driving results and identify opportunities for iteration&nbsp; You may be a good fit if you: Have 8+ years of marketing experience with meaningful exposure or genuine interest in the public sector, government technology, or GovTech space Thrive in a 0-to-1 environment—can build processes where none exist and navigate ambiguity across a complex stakeholder landscape ration and campaign execution Are an adaptable generalist with exposure and competency within multiple marketing functions (content, campaigns, social, analytics, sales enablement)&nbsp; Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for non-technical audiences&nbsp; Are a quick learner who can absorb context on diverse government verticals and procurement cycles rapidly&nbsp; Excel at cross-functional collaboration—comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams. Are passionate about AI's potential to benefit underserved communities while maintaining focus on responsible, equitable deployment Strong candidates may also: Have direct experience marketing to government audiences, including familiarity with federal, state/local, or international public sector procurement processes Have worked in or with public sector organizations and understand the distinct priorities and decision-making dynamics of government buyers&nbsp; Possess experience with event marketing at public sector conferences (e.g., GovTech, ACT-IAC, NGA, NIST-adjacent events)&nbsp; Have a background in enterprise sales enablement, particularly in complex or regulated industries Show a track record of building marketing programs from scratch at a growth-stage company&nbsp; Demonstrate interest in the responsible deployment of AI in public-facing contexts, including an awareness of the ethical considerations unique to government use cases Role-specific policy:&nbsp;For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.&nbsp; Deadline to apply: None. Applications will be reviewed on a rolling basis.&nbsp;The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000&mdash;$320,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Solutions Marketing Lead, Public Sector

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Startup Account Executive As a Startup Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.&nbsp; The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. About Anthropic Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency &nbsp; You may be a good fit if you have: 7+ years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Startup Account Executive

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role Anthropic’s Compute and Infrastructure organizations are responsible for the systems that train our models, serve our products, and support our engineering teams. That includes datacenter operations, capacity planning across cloud providers and our own facilities, accelerator cluster management, production serving infrastructure, developer tooling, data pipelines, and networking. It’s a lot of surface area, and the demands on it are growing fast. We’re hiring a TPM leader to own program management across this whole ecosystem from compute supply through to production workloads. Today, there are a few TPMs working in these areas but no dedicated TPM team, and you will build it. We’re bringing up new datacenters, scaling multi-cloud compute across AWS, GCP, and Azure, managing datacenter construction, and building the software infrastructure to keep pace. The team is currently small but expected to grow very quickly, and we’re looking for a senior leader with experience at scale to build and scale this team to support Anthropic’s rapid growth. You’ll report to the Head of TPM, partnering closely with various engineering leaders on technical strategy, roadmapping, and aligning TPM support where it is most impactful.&nbsp; Expect to spend most of your time as an IC at the start. You’ll personally drive 2–3 critical programs while hiring your team in parallel. As the team grows, you’ll shift more toward people leadership, but this is a role where you need to be comfortable doing the work yourself before you can hand it off. What you'll do: IC Program Leadership (Near-term Focus) Own and drive 2–3 of the highest-priority programs across compute and infrastructure while you build the team Run the actual programs—datacenter bring-up timelines, capacity scaling plans, infrastructure migrations, cross-team reliability efforts, or whatever the most pressing needs are Build the processes and playbooks as you go—figure out what works by doing it, then codify it for the team Earn credibility with engineering leads through solid execution, not just strategy Team Building &amp; Development Build a TPM team largely from scratch: define roles, write JDs, source candidates, close hires Set the standard for what good TPM work looks like in this domain through your own output Coach and develop TPMs Transition programs to your team as you hire Planning &amp; Prioritization Work with various engineering leads to identify work that would most benefit from TPM support&nbsp; Make real tradeoffs about what to staff vs. what to skip given limited TPM capacity during the build phase Maintain portfolio-level visibility across programs—status, risks, dependencies, blockers Represent the team in planning cycles and leadership reviews Cross-functional Coordination Coordinate across Compute, Infrastructure, and partner teams (Research, Product, Security, Finance, Legal) on programs that span organizational boundaries Drive alignment on programs that cross the hardware/software line—e.g., capacity plans that feed into training schedules, or efficiency work that spans accelerator kernels and serving systems Own executive communication on program status, risks, and resource needs You May Be a Good Fit If You: Have 10+ years of experience in technical program management, with 7+ years directly managing TPMs and ideally some experience leading larger TPM organizations Have built a team or function from scratch before—you know the difference between hiring for a defined role vs. figuring out what the roles should be Have scaled TPM teams to support rapidly-growing, fast-moving company environments&nbsp; Have worked across physical and software infrastructure—datacenters, networking, hardware ops, distributed systems, cloud platforms, developer tooling. You don’t need to be deep in all of it, but you need to be conversant enough to ask the right questions and spot the real risks. Have run large-scale compute or infrastructure programs—capacity planning, cluster deployments, datacenter build-outs, cloud migrations, or similar Can communicate complex programs clearly to senior leadership without losing the important details Are good at context-switching between doing the work and managing people, and don’t see the IC work as beneath you Are comfortable making staffing and prioritization decisions without perfect information Deadline to apply: None, applications will be received on a rolling basis.The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$435,000&mdash;$565,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

TPM Manager, Compute & Infrastructure

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role:&nbsp; Anthropic sits at the frontier of AI development, which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection &amp; Response team exists to make sure we see them coming. As a Threat Intelligence Engineer, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work shoulder-to-shoulder with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builder's role on a small, high-leverage team — you'll have broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic.&nbsp; Responsibilities:&nbsp; Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector — producing timely, actionable intelligence for Security Engineering stakeholders Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals Partner with Detection Engineering and Incident Response to translate intelligence into detection rules, hunting hypotheses, and incident context in near-real-time Curate and triage inbound intelligence from commercial feeds, open source, government, and trusted peer relationships — prioritizing what matters for Anthropic's threat model Contribute to threat models and risk assessments that inform security architecture and defensive investment across the enterprise Build and maintain external intelligence-sharing relationships with peer companies, ISACs, and government partners You may be a good fit if you: Have 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries Have deep, demonstrable knowledge of specific nation-state or advanced criminal threat actors — their tooling, infrastructure patterns, tradecraft, and targeting Are a strong engineer: you write production-quality Python (or similar), have built automation and data pipelines, and don't need to hand requirements to someone else to get tooling built Are comfortable performing malware analysis, infrastructure analysis (passive DNS, certificate pivoting, netflow), and log analysis to develop and validate your own findings Have experience authoring detection logic (YARA, Sigma, Snort/Suricata, or SIEM-native queries) and understand what makes a detection durable vs. brittle Can write clearly and concisely — your intelligence products are read and acted on, not filed away Have an existing network in the threat intelligence community and a track record of productive bidirectional sharing Strong candidates may have: Experience defending cloud-native and research-heavy environments (AWS/GCP, Kubernetes, ML infrastructure, developer tooling and supply chain) Prior work operating in a threat intelligence role tracking sophisticated or state-sponsored adversaries, where your analysis directly informed detection, threat hunting, and incident response Experience applying LLMs or other AI tooling to accelerate intelligence collection, enrichment, and analysis Public research, conference talks, or open-source tooling contributions in the CTI space Deadline to apply: None. Applications will be received on a rolling basis.The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000&mdash;$405,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:&nbsp;A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Security Engineer - Threat Intel

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.&nbsp; Note: Specialists will work Wednesday - Sunday Responsibilities: Become an expert in all Anthropic products Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses&nbsp; Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: Have experience in technical product support, including API debugging, preferably in a second tier, escalated, or priority support team Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Experience troubleshooting SSO, SAML, and OAuth authentication flows Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work Are proficient at working in a technical environment and are interested in Anthropic’s products Possess a deep sense of ownership, and are excited to help us build our team! Strong candidates may also have: While not required, we're particularly excited about candidates with one or more of these specializations: Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts SQL proficiency for querying logs and investigating issues Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support. &nbsp;The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:€85.000&mdash;€125.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Support Specialist, Weekend Coverage

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the RoleJoin Anthropic's Customer Success team as our first Japan-based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan&nbsp; helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.&nbsp;In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption &amp; seat based) grows and evolves.Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.&nbsp; The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.&nbsp;As the founding CSM in Japan, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.Responsibilities:Build trusting, strategic relationships with key Japanese and other APAJ customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansionBecome an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutionsLeverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customerMonitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitmentsServe as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of Japanese and APAJ customersDocument and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investmentIdentify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflowsDevelop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablementOwn the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and AnthropicBuild Anthropic's brand and customer relationships as the first in-region CS presence, developing where needed, Japan-specific processes, playbooks, and best practices that account for regional business culturesYou may be a good fit if you have:6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for eachTechnical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patternsExperience explaining and demonstrating technical products to various audiencesStrategic mindset to identify growth opportunities and translate them into actionable expansion plansCross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs&nbsp;Strong project management skills and ability to manage multiple customer relationshipsPassion for AI and interest in responsible development of advanced systemsExperience working in and building a growing region, while navigating across time zones with US-based headquartersA knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team playerFluency in English and (preferred) other languages Mandarin, or KoreanLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Customer Success Manager

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI. Responsibilities: Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Partner with research to define, improve, and ship model capabilities within a research area Identify nascent research that could become transformative products Synthesize user insights into actionable requirements and evaluations Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams You might be a good fit if you: Have a deep passion and curiosity for AI and LLMs. Use AI regularly.&nbsp; Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus) Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities Have a track record of launching ambitious products that have achieved distribution or commercial success Have intellectual curiosity without ego—comfortable asking questions and learning independently Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks Have a creative, hacker spirit and love solving puzzles The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$305,000&mdash;$385,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Management, Research

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="heading">About the role</h2><p>The Domain Scaling team has the goal to make Claude world-class at real-world knowledge work in domains like finance, healthcare, and legal. This is a unique role that combines executing directly on applied research and data sourcing (real-world and synthetic) to improve our models. You'll own the end-to-end process of creating RL environments for new capabilities: identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.</p><h2 class="heading">Responsibilities</h2><ul><li><p>Own the data strategy for knowledge work verticals end-to-end, from task sourcing through RL training</p></li><li><p>Manage technical relationships with external data vendors, including evaluation of data quality and reward design</p></li><li><p>Collaborate with domain experts to design data pipelines and evaluations</p></li><li><p>Explore novel ways of creating RL envs for high value tasks</p></li><li><p>Develop and improve QA frameworks to catch reward hacking and ensure env quality</p></li><li><p>Run generalization experiments to measure how data strategy changes improve model capabilities</p></li><li><p>Partner with other RL research teams and product teams to translate capability goals into training envs and evals</p></li></ul><h2 class="heading">You may be a good fit if you</h2><ul><li><p>Have experience with fine-tuning large language models for specific domains or real-world use cases</p></li><li><p>Have experience with reinforcement learning, reward design, or training data curation for LLMs</p></li><li><p>Are comfortable managing technical vendor relationships and iterating quickly on feedback</p></li><li><p>Find value in reading through datasets to understand them and spot issues</p></li><li><p>Have strong cross-functional collaboration skills</p></li><li><p>Are passionate about making AI more useful and accessible across different industries</p></li><li><p>Are excited about a role that includes a combination of applied research and hands-on data work</p></li></ul><h2 class="heading">Strong candidates may also</h2><ul><li><p>Have experience training production ML systems</p></li><li><p>Have experience designing evals or benchmarks for LLMs</p></li><li><p>Have domain expertise in a vertical where we would like to make our models more useful</p></li><li><p>Have experience working with external vendors or technical partners</p></li></ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$1</span><span class="divider">&mdash;</span><span>$2 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Research Engineer, Domain Scaling

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not. This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partner Sales and work closely with Sales, Solutions Architecture, Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients. Responsibilities: Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes Build relationships across multiple levels of the partner organization — from practice leads and delivery teams to alliance executives — and serve as their primary point of contact at Anthropic Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them Gather signal from partner interactions — what's landing, what's missing, where clients are pushing back — and feed it into product and go-to-market planning Contribute to the development of partner sales processes, playbooks, and best practices as the function scales You may be a good fit if you have: 7+ years of experience in partner sales, channel sales, alliances,&nbsp; business development or direct sales at a technology company where partners are heavily involved A demonstrated track record of driving revenue through partners — you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives A collaborative working style — you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned Comfort with ambiguity and a willingness to create structure where it doesn't yet exist Willingness to travel to support partner relationships and joint customer engagements A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly Strong candidates may also have: Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design Experience managing partner relationships across multiple geographies A history of being an early member of a partner sales function and helping it scale The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$300,000&mdash;$355,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:&nbsp;A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Partner Sales Manager, Systems Integrators

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Business Systems Analyst - Security Workforce on Anthropic's BizTech team, you'll own and evolve how Anthropic manages contractor security, access governance, and technical onboarding. This role sits at the intersection of security operations, workforce management, and employee experience—ensuring that everyone who joins Anthropic, whether as a contractor or full-time employee, has the access they need to do meaningful work while maintaining the security posture our mission demands. You'll build and run the programs that govern how contingent workers are onboarded, credentialed, and offboarded from a security and access perspective. You'll also own the technical onboarding experience for our engineering and research roles, creating a seamless first-week experience that sets people up for success. This is a role for someone who believes that security and great user experience aren't at odds—they're complementary. As Anthropic continues to scale rapidly, you'll help ensure our contingent workforce programs and onboarding processes evolve to meet the growing demands of our organization while maintaining the high standards of security, compliance, and experience that Anthropic requires. Responsibilities Contingent Worker Security Program Own the IT and security access for contingent workers from a security and access perspective, including onboarding, periodic access reviews, and offboarding Develop and maintain policies governing contractor access levels, permissioning frameworks, and compliance requirements Partner with Security, Legal, and People teams to ensure contractor engagements meet security standards and regulatory obligations Build and manage relationships with staffing agencies for the security organization Implement and maintain process for contractor identity management, access provisioning, and audit trails Conduct regular access reviews, audits, and certifications for the contingent workforce Create clear documentation and runbooks for contractor security processes Support audit and compliance efforts with documentation and evidence gathering Technical Onboarding Program Design and continuously improve the onboarding experience for technical roles (Engineering, Research, Security, IT) Coordinate cross-functionally to ensure new hires have accounts, access, equipment, and resources ready before day one Build onboarding curricula that balance security training, cultural integration, and role-specific enablement Gather feedback from new hires and iterate on the program to reduce time-to-productivity Partner with team leads to develop role-specific onboarding tracks Track onboarding metrics and report on program effectiveness Cross-Functional Partnership Collaborate with Security on access control policies, least-privilege principles, and compliance requirements Work with People Operations on workforce planning and contractor-to-employee conversions Partner with IT on tooling, automation, and system integrations Act as a liaison between security requirements and business needs, translating complex policies into user-friendly guidance You may be a good fit if you: Have 5+ years of experience in contingent workforce management, security operations, HR operations, or a related field Have demonstrated experience building or managing contractor/vendor security programs Are familiar with identity and access management principles, least-privilege access, and role-based access control Have experience with compliance frameworks (SOC 2, ISO 27001) and how they apply to workforce management Have a track record of building or improving onboarding programs Possess strong program management skills with the ability to manage multiple workstreams simultaneously Excel at documentation creation and process design, with exceptional attention to detail Are comfortable with ambiguity and building programs from scratch Take a data-driven approach to measuring and improving program outcomes Are an effective communicator who can translate security requirements into clear guidance for non-security audiences Believe that security and great user experience are complementary, not competing priorities Care deeply about the people going through your programs and advocate for their experience Are proactive and self-directed with the ability to manage competing priorities Care about the societal impacts of your work and are excited about contributing to AI safety Strong candidates may also: Ability to balance security posture with speed and contractor experience — understands that overly rigid processes create friction and workarounds Track record of partnering cross-functionally with CW, HR, or People teams — doesn't operate in a silo and understands how security decisions impact the broader contractor lifecycle Knowledge of international compliance considerations (data residency, GDPR, regional privacy laws) and how they impact access decisions for a global contractor population Have familiarity with tools like Workday, Okta, or similar HRIS/IAM platforms Have background in HR, IT, or Security operations&nbsp; Have experience in AI/ML companies or other environments with heightened security requirements Have knowledge of ITIL or other IT service management frameworks Have experience with vendor management systems or procurement processes Have certifications in security (CISSP, CISM) or project management (PMP, etc.) Have experience implementing knowledge management systems or documentation platforms Deadline to apply: None. Applications will be received on a rolling basis.The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$190,000&mdash;$300,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Business Systems Analyst - Security Workforce

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We are looking for a Compliance Oversight Lead to build and lead the operational infrastructure that enables Anthropic's Integrity &amp; Compliance (I&amp;C) function to operate effectively. This role is responsible for the systems, processes, and reporting mechanisms that support all compliance pillars—ensuring consistency, visibility, and accountability across the function. Our global compliance program is bespoke, reflecting our unique mission and position as one of the leading AI labs operating on the frontier. Our Compliance Oversight pillar comprises a key pillar of our overall Integrity and Compliance function. Compliance Oversight will create and maintain the frameworks, policies, and oversight mechanisms that enable Anthropic to meet its commitments to employees, customers, regulators, and the public—building trust through demonstrated accountability as the company scales.&nbsp; Responsibilities:&nbsp; Own the compliance training program, working with subject matter experts across I&amp;C to develop, deliver, and track completion of training that meets both regulatory requirements and organizational needs Manage the policy lifecycle—from drafting and approval workflows through version control, attestation, and accessibility—ensuring Anthropic's policies are current, coherent, and demonstrably communicated to employees Lead implementation and administration of a GRC system for Integrity &amp; Compliance to serve as the central platform for compliance activities, including risk tracking, control documentation, and workflow management Design and execute testing and monitoring programs for key compliance controls, working with pillar SMEs to verify controls are functioning as intended and identify gaps before they become issues Coordinate responses to compliance-related due diligence requests from customers, partners, and investors Own issue management and tracking, ensuring compliance findings, exceptions, and remediation efforts are documented, assigned, and driven to closure with appropriate escalation Manage compliance vendor relationships and the I&amp;C budget, providing the administrative foundation for the function's operations Develop and maintain compliance metrics and KPIs that demonstrate program effectiveness and maturity to internal and external stakeholders Build dashboards and reporting cadences that give leadership visibility into compliance activities across the function Prepare compliance reporting for leadership, synthesizing information from across pillars into coherent narratives about program health, key risks, and strategic priorities Continuously assess and improve I&amp;C operational processes to ensure they scale with Anthropic's growth You may be a good fit if you have: At least 10 years of experience in compliance, risk, internal audit, or a related field, with at least 3 years in a leadership or management capacity Experience implementing or administering GRC technology platforms Experience in implementing technology solutions for compliance tasks, creating efficiency and ensuring employees and partners have effective ways of getting the information and support they need from Integrity &amp; Compliance Strong understanding of compliance program fundamentals: policy management, training, controls testing, and reporting Ability to work effectively with subject matter experts across different compliance domains and translate substantive requirements into operational processes Experience preparing materials for senior leadership Excellent project management and organizational skills, with the ability to manage multiple workstreams simultaneously Strong vendor management skills with the ability to manage multiple vendor relationships and partners Strong written and verbal communication skills Strategic thinking combined with flexibility and solution-orientation Experience building compliance programs or functions from early stages Strong candidates may have: Prior experience in a Big 4 or other compliance consulting or advisory professional services firm. Experience in a tech company or other fast-paced and hyper-scaling environment. Role-specific policy: For this role, we expect staff to be able to work from either our Washington, DC, San Francisco, or New York City office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$255,000&mdash;$270,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Compliance Oversight Lead

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is looking for a Head of Sales and Partnerships Recruiting to lead recruiting efforts across our Sales and Partnerships organizations. This role will own recruiting across all Sales segments (SDR, Startups, Mid Market, Enterprise, and Strategic) as well as our Global Partnerships organization. You'll manage a team that includes both managers and individual contributors, and serve as a critical partner to our Head of Sales, AMER and Head of Global BD &amp; Partnerships. This role reports to the Global Head of GTM Recruiting. This is a global role. While EMEA and APAC recruiters report into regional leaders, you will own the programmatic elements of Sales and Partnerships recruiting at a global scale, partnering closely with recruiting managers in those regions to drive consistency, share best practices, and ensure we're building a cohesive candidate and hiring manager experience worldwide. We're at an inflection point. Our GTM organization is scaling 3-4x year over year, and we need a leader who can build the systems, processes, and team to support that growth while maintaining an exceptionally high bar for talent. You'll be the connective tissue between regional teams, central operations, and business leadership, ensuring we hire with both speed and precision. Responsibilities Build, lead, and develop a high-performing recruiting team that includes both managers and individual contributors, with a focus on coaching and scaling leadership capability Own the programmatic elements of Sales and Partnerships recruiting globally, partnering with recruiting managers in EMEA and APAC to ensure consistency while allowing for regional flexibility Design and implement end-to-end recruiting processes that are rigorous, measurable, and built for scale Develop headcount forecasting models that tie directly to our revenue plan, enabling predictable hiring aligned to business growth Be obsessed with quality. Champion talent density over talent mass, ensuring every hire raises the bar while still successfully delivering on headcount commitments Partner closely with the Head of Sales, AMER and Head of Global BD &amp; Partnerships as a strategic advisor on talent strategy, market insights, and pipeline health Optimize interview capacity and calibration across hiring teams, ensuring we use interviewer time effectively and maintain consistent evaluation standards Establish clear quality of hire metrics tied to performance outcomes, and use that data to continuously improve sourcing, assessment, and closing strategies Partner closely with our Recruiting Operations team to ensure systems and tools effectively support GTM hiring goals Collaborate with Compensation and HR to ensure our offers are competitive and calibrated to market, particularly for specialized or senior sales and partnerships roles You may be a good fit if you Have 12+ years of recruiting experience with at least 7 years leading teams, including experience managing managers Bring deep expertise in Sales recruiting across multiple segments and understand the nuances of hiring for transactional versus strategic, consultative roles Are genuinely data-obsessed: you build dashboards, track leading indicators, and make decisions based on evidence rather than intuition Lead with low ego and high EQ, building trust across functions and coaching your team through feedback and development rather than directive management Have operated in high-growth environments and know how to build processes that scale without becoming bureaucratic Refuse to sacrifice quality for speed. You understand that talent density is what drives performance, and you hold the line even under pressure Are exceptional at stakeholder management, particularly with senior sales and business development leaders who have strong opinions and high expectations Have experience designing and refining interview processes that are both predictive and efficient Can navigate global complexity, building frameworks that create consistency across regions while respecting local context and partnerships with regional leaders Actively use AI tools like Claude to drive your own productivity and enable your team to do the same Strong candidates may also have Experience partnering with Compensation on market analysis, leveling frameworks, and offer strategy for GTM roles Familiarity with recruiting for AI/ML or technical product companies where the business model and product are evolving rapidly Background in Partnerships or Business Development recruiting, not just Sales A track record of building recruiting forecasting models tied to revenue outcomes and pipeline predictability The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$295,000&mdash;$360,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Head of Sales & Partnerships Recruiting

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>About the role</strong></h2>
<p>As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the DACH market.</p>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>
<p>Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close</p>
</li>
<li>
<p>Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns</p>
</li>
<li>
<p>Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications</p>
</li>
<li>
<p>Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices</p>
</li>
<li>
<p>Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers</p>
</li>
<li>
<p>Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency</p>
</li>
</ul>
<h2><strong>You may be a good fit if you have</strong></h2>
<ul>
<li>
<p><strong>Native German speaker</strong> with excellent written and verbal communication skills in German and English</p>
</li>
<li>
<p>8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies</p>
</li>
</ul>
<ul>
<li>
<p>Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities</p>
</li>
</ul>
<ul>
<li>
<p>A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases</p>
</li>
<li>
<p>Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments</p>
</li>
<li>
<p>Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies</p>
</li>
<li>
<p>Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process</p>
</li>
<li>
<p>Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives</p>
</li>
<li>
<p>Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market</p>
</li>
<li>
<p>A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities</p>
</li>
<li>
<p>A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use</p>
</li>
</ul>
<h2><strong>What We Offer</strong></h2>
<ul>
<li>
<p>Competitive base salary and commission structure</p>
</li>
<li>
<p>Equity participation in Anthropic's growth</p>
</li>
<li>
<p>Comprehensive benefits package</p>
</li>
<li>
<p>Opportunity to shape the AI industry in DACH and EMEA</p>
</li>
<li>
<p>Professional development and career growth opportunities</p>
</li>
</ul>
<p><strong>Location:</strong> Munich, Germany&nbsp;</p>
<p>&nbsp;</p><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Enterprise Account Executive, Industries Generalist

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About this role: This role serves as the partner to the Head of National Security Policy. While the Head of National Security Policy focuses on external engagements, strategic positioning, and final decision-making, this role owns the day-to-day management of the team—ensuring members of the National Security Policy team are supported, priorities are clear, and work moves forward efficiently. This role requires a deep understanding of the national security and policy landscape, with opportunities to further expertise with tutelage from the Head of National Security Policy.&nbsp; As a member of the Policy leadership team, this role also contributes to the broader direction of Anthropic's policy function and ensures strong alignment between National Security and other policy workstreams. Responsibilities: Manage the daily operations of the National Security Policy team, including workflow, priorities, and deliverables, and provide visibility to leadership and cross-functional stakeholders Run team rhythms (including standups, planning sessions, and check-ins) and keep work on track Surface blockers early and drive resolution Own hiring, onboarding, performance conversations, and career development Maintain pulse on team health—gather feedback, flag concerns, and foster strong team culture and collaboration Act as proxy for the Head of National Security Policy in internal meetings and decision-making processes when needed Represent the team's needs, perspectives, and priorities to cross-functional partners Drafting, prioritization, and strategic execution Draft key internal and external documents, briefings, and communications on behalf of the Head of National Security Policy Translate strategic direction into clear priorities, workplans, and deliverables Ensure the team's work aligns with broader company and policy goals Cross-functional alignment Build and maintain strong working relationships across Policy, Legal, Comms, Security,&nbsp; and other functions Ensure National Security Policy priorities are well-understood across the organization and cross-functional dependencies are managed proactively Serve as a connective thread between National Security Policy and the broader Policy team Policy leadership Participate in Policy leadership forums and contribute to function-wide strategy and planning Keep a pulse on the business—understand company priorities and ensure National Security Policy work connects to them Shape long-term strategic planning, including having a strong intuition for emerging internal and external policy issues and developing proactive strategies around them You may be a good fit if you: Have deep knowledge of national security matters, government, AI policy, or related fields Proven track record of managing and developing high-performing teams Strong operational instincts—able to build systems, keep complex work organized, and deliver results Proven ability to work cross-functionally and build alignment across diverse stakeholders Excellent judgment and discretion in sensitive contexts Clear, concise communicator with experience drafting for senior leaders (especially written—drafting is core to this role) Collaborative and low-ego; builds trust quickly Effective problem solver The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$295,000&mdash;$345,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Manager, National Security Policy

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="heading"><strong>About the role</strong></h2>
<p>Anthropic is seeking a Contracts Manager to join our team in London. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution — including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams.</p>
<h2 class="heading"><strong>Key responsibilities</strong></h2>
<ul>
<li>
<p>Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements</p>
</li>
<li>
<p>Propose and develop scalable solutions to improve contracting efficiency</p>
</li>
<li>
<p>Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency</p>
</li>
<li>
<p>Collaborate with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel</p>
</li>
<li>
<p>Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritized effectively and seamlessly coordinated between regional and global teams</p>
</li>
<li>
<p>Drive the regional rollout of process improvements, policy updates, and programs initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute</p>
</li>
<li>
<p>Pitch in across other areas of the legal function — as a small team supporting big things, each of us practices across multiple areas, and we'd love to hear where else your experience or interests could contribute</p>
</li>
</ul>
<h2 class="heading"><strong>Minimum qualifications</strong></h2>
<ul>
<li>
<p>Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms</p>
</li>
<li>
<p>Ability to independently draft, review, and negotiate complex commercial and procurement contracts</p>
</li>
<li>
<p>Experience managing the full contract lifecycle for technology transactions, sales organizations, and/or partnerships</p>
</li>
</ul>
<h2 class="heading"><strong>Preferred qualifications</strong></h2>
<ul>
<li>
<p>8+ years of related contract management experience, with at least 5 years supporting technology transactions, sales organizations, and/or partnerships</p>
</li>
<li>
<p>Experience operating in a fast-paced technology startup where priorities shift rapidly and schedules "move to the left"</p>
</li>
<li>
<p>Prior experience as part of a global or distributed legal team, including partnering with colleagues across regions and navigating the nuances of aligning local needs with centralized priorities</p>
</li>
<li>
<p>A track record of operating with a high degree of autonomy while keeping global stakeholders appropriately informed — comfortable setting your own cadence and exercising sound judgment about when to escalate versus when to decide</p>
</li>
<li>
<p>Strong habits around async communication, proactive status updates, and operating effectively with a remote manager across time zones</p>
</li>
<li>
<p>An understanding of what's important in the context of a contract and the organization's mission, including when to be flexible and when to draw a hard line</p>
</li>
<li>
<p>A knack for identifying and implementing efficient processes and policies</p>
</li>
<li>
<p>A preference for straightforward, concise explanations over legalese and overwrought drafting</p>
</li>
<li>
<p>Comfort operating outside your areas of expertise and in uncharted legal territory</p>
</li>
<li>
<p>The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of our technical teams and what we are building</p>
</li>
<li>
<p>Excellent verbal and written communication, analytical, collaboration, and interpersonal skills</p>
</li>
<li>
<p>Authentic integrity and a deep understanding of the importance of ethics in business</p>
</li>
</ul>
<p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>£140,000</span><span class="divider">&mdash;</span><span>£180,000 GBP</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Contracts Manager, EMEA

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As a Strategic Account Executive at Anthropic, you'll expand and deepen partnerships with our most innovative AI-native customers in EMEA, working directly with founding teams to accelerate AI adoption and unlock new use cases. Leveraging your consultative sales expertise, you'll drive strategic commercial discussions and foster strong engagement between these pioneering companies and Anthropic's executive team. The ideal candidate will have a passion for discovering innovative AI use cases, identifying expansion opportunities within strategic accounts, and executing plans to realize them. By partnering deeply with our most strategic customers, you will help them shape the future of AI while ensuring responsible development and deployment of these emerging capabilities.&nbsp; Responsibilities: Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization Partner closely with technical counterparts to ensure seamless execution and customer success Identify emerging market trends and opportunities based on deep understanding of how leading AI companies are building and scaling Develop and execute account strategies that support customers through various growth stages, from early startup to category leader Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders Must Have Qualifications: 10-15 years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships Track record of leading and closing sophisticated commercial deals with multiple stakeholders Experience working directly with founders and C-level executives at high-growth technology companies Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementation Proven ability to influence product direction and strategy based on customer needs Excellence in stakeholder management across multiple levels, from technical teams to C-suite Outstanding communication and presentation skills, with ability to articulate complex value propositions to various audiences Preferred Qualifications: Experience working with venture capital firms or understanding of the venture ecosystem Background in consumption-based/usage-based pricing models Experience supporting customers through hyper growth phases Understanding of the AI/ML landscape and key trends Track record of helping define commercial frameworks for emerging technology markets The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€205.000&mdash;€255.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Strategic Account Executive, Startups

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for Engineering Managers to join our Claude Experiences org to lead and grow teams of software engineers working on backend systems for Claude.ai, including our clients on the web, desktop, and mobile. You'll be responsible for defining and executing the creation of shared product capabilities at the core of Claude.ai while maintaining clear direction and stability for your team. This is a net-new team, initially seeded with a small number of tenured Claude.ai engineers. Historically, the design, development, and maintenance of our systems and infrastructure was a shared responsibility between our small group of Claude Experiences engineers, collaborating closely with our larger Platform and Infra organizations. We believe that there is an opportunity for a team to drive a lot of impact, both in our foundations and in the product, by focusing on backend systems specifically for Claude.ai.&nbsp; You'll partner closely with product managers, engineering leadership, research teams, and our inference, infrastructure, and platform teams to transform emerging AI capabilities into products that make AI collaboration feel effortless, pro-human, and essential to how work gets done. Success in this role requires a strong ability to understand stakeholder needs, identify opportunities to share capabilities across products, understand our product and roadmap deeply, and the ability to facilitate rapid iterations to improve our product suite. We both need to maintain high-quality systems for our existing product surfaces while collaborating closely with research to build products at the frontier of model capabilities. About Claude Experiences We are responsible for Claude.ai across the web, desktops, and mobile devices. Our mission is to craft coherent Claude experiences that delight at every touchpoint, making AI collab feel effortless, pro-human, and essential to how work gets done.&nbsp; Responsibilities Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development Design, develop, and maintain systems that are highly available, responsive, and fault-tolerant Decide which existing systems to improve, rebuild, or maintain Partner effectively with engineering and product leaders to align on direction and execution Create a balanced environment that encourages both iterative improvement and rigorous evaluation Provide clear, actionable feedback and support for engineer growth and development Help partner teams develop approaches for sharing capabilities and partnering to evolve our platform alongside the sophistication of our products and users Collaborate closely with other platform, inference, and API groups Represent the Claude.ai perspective and roadmap in discussions with research, product, and leadership stakeholders You may be a good fit if you: Have 3+ years of engineering management experience inclusively designing, building, and leading leading high-performing teams in ambiguous, early-stage environments Excel at creating psychological safety, belonging, and helping teams navigate uncertainty Demonstrate strong interpersonal skills and ability to guide teams through rapidly evolving organization priorities while building underlying stable platforms Have excellent cross-functional leadership skills to build alignment between research, engineering and product Are skilled at facilitating decision-making rather than imposing solutions Have expertise in mentoring and investing energy into team culture Have excellent communication skills to represent the importance of and need to invest in platform capabilities at the core of our products Have a comprehensive technical understanding of modern software product development processes and technical stacks. Experience of AI/ML is a bonus Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission Strong candidates may also: Have experience building products from zero to one in a startup environment Have expertise in modern web development stacks (React, Next.js, etc) Have expertise working on AI/ML products Have expertise with identity management, authentication systems, and enterprise security standards The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$320,000&mdash;$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Engineering Manager, Claude Services

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals within the Asset &amp; Wealth Management industry. You'll leverage your leadership and consultative sales expertise within AWM to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help customers embed and deploy AI while uncovering its full range of capabilities in portfolio management, client advisory, research, and operations. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with AWM decision-makers and ensure differentiated value across the Asset &amp; Wealth Management landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Asset &amp; Wealth Management, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help AWM institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives focused on Asset &amp; Wealth Management, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to AWM procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on AWM buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for wealth management and investment applications Enable your team to have credible technical conversations about AI applications in Asset &amp; Wealth Management while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives within the AWM sector Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within portfolio management, research, client advisory, and operational functions Help your team navigate complex AWM stakeholder ecosystems including CIOs, CTOs, portfolio managers, research heads, compliance officers, and procurement offices to build consensus Gather and synthesize customer feedback from AWM users to inform product direction and enhance customer experience Build and continuously refine the AWM sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience in Asset &amp; Wealth Management technology, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on AWM Proven track record of building and leading high-performing sales teams selling into asset managers, wealth managers, private banks, and family offices, with demonstrated success in coaching and developing AEs Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving AWM Strong technical acumen and ability to understand complex AI solutions and their applications in portfolio management, research, and client advisory, with experience enabling teams to have credible technical conversations with AWM stakeholders Track record of successful partnership with technical teams throughout the customer journey within financial institutions Deep understanding of AWM buying cycles, procurement frameworks, and key pain points across hedge funds, asset managers, wealth managers, and private banks Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics specific to AWM sales cycles Excellent communication skills and ability to build relationships across all levels, from analysts and portfolio managers to CIOs and senior executives in AWM Strategic approach to market analysis combined with tactical excellence in execution Passion for AI technology and commitment to its safe, responsible development for financial use cases The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$360,000&mdash;$550,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Head of Asset & Wealth Management, GTM Sales

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: We're hiring a Product Operations Manager to work directly with our Product and Engineering teams on our Growth, Enterprise, and Verticals team. They will build, launch, and improve bleeding edge products that make the most of our frontier models’ capabilities.&nbsp; The Product Operations team connects strategy to execution by creating alignment up, down, and across the company. They will &nbsp;work closely with Product Managers and Engineers to identify bottlenecks, streamline workflows, enhance decision-making processes, and scale our Product’s impact. Working as an extension of the product leadership team, they will balance hands-on tactical execution with strategic initiatives, bringing a pragmatic eye for scale and operationalization in a fit-for-purpose way. The Claude Code team has revolutionized the way people build software. They are a scrappy team that is obsessed with users and have fostered an incredible iterative feedback loop. Given the high demand, the scale of impact is really exciting for this team and the Operator that joins to help accelerate growth. The ideal candidate will be hands-on and have experience building and operationalizing end-to-end product delivery. They are passionate about creating scalable systems that help Product teams better understand users. This includes implementing feedback loops, developing planning frameworks, and designing launch playbooks that elevate our Product organization's effectiveness.&nbsp; Responsibilities: Inputs to Product Teams – Ensuring product teams have the information they need to make great decisions Voice of customer synthesis and feedback routing from strategic to tactical Create high-leverage engagement points with partners throughout the product lifecycle Establish rigor in understanding users via reliable metrics, dashboards, and clear hypotheses Establish mechanisms for measuring product success and impact, including analytics dashboards and reporting systems Streamline the most important decision points for teams and impacted partners Ops of the Product Org – Creating the operating systems that enable product teams to thrive Support team rhythms, rituals, and operational models (offsites, Monthly Business Reviews, Team town halls, etc) Create reliable run-of-business systems across product Improve common product development processes and tooling Facilitate effective collaboration between Product, Engineering, Sales, Customer Success, and Marketing teams Outputs from Product Teams – Amplifying product impact by connecting what we build to those who need it Run Early Access Programs (EAPs) and beta programs that validate hypotheses and improve products Maintain launch motions that allow us to ship with confidence and monitor impact Create cross-team roadmap visibility that drives cross-functional alignment Make clear to all of Anthropic what Product is working on and how it's going You may be a good fit if you have: 5+ years of experience in product operations, program management, or related operational roles in hyper-scaling tech companies Mission-aligned with building safe and beneficial AI systems Experience building with AI directly. You likely tinker to make tools and products yourself A track record of building processes and programs from 0 to 1 and scaling them thoughtfully Strong cross-functional partnership skills with ability to influence without authority Strong analytical skills with the ability to translate complex qualitative and quantitative data into actionable insights with clear recommendations Success managing complex, multi-stakeholder initiatives in fast-paced, ambiguous environments Experience with launch coordination, early access programs, or customer feedback loops A passion for iterative, user-driven product development Experience as a bridge builder who connects strategy to execution and creates alignment across teams. You are a problem seeker comfortable with ambiguity and skilled at creating structure where none exists. The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$240,000&mdash;$260,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Operations Manager, Claude Code

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As part of Anthropic's Global Safety, Intelligence, and Security (GSIS) team, the Security Development Project Specialist will lead security infrastructure development for Anthropic's extensive global office expansion program. This unique position offers the opportunity to shape the physical security foundation for a rapidly growing AI company operating across international locations, from standard office environments to specialized facilities requiring high security complexity. You'll serve as the dedicated expert managing security from initial site assessment through operational handoff, coordinating with Real Estate, Facilities, architects, construction teams, and security vendors across multiple countries and facility types. Your work will directly enable Anthropic's global expansion while ensuring appropriate security infrastructure protects our employees, intellectual property, and AI development operations. Responsibilities:&nbsp; Lead comprehensive security assessments for potential office locations during Real Estate evaluation processes across North America, EMEA, and APAC regions Design security infrastructure requirements and specifications for new buildouts tailored to ASL compliance levels and facility use cases Integrate CPTED principles into architectural planning and site design to optimize security effectiveness through environmental design Own coordination with architects, construction teams, and Facilities on security elements for office buildouts in multiple countries with varying building codes and standards Direct phased security implementation for complex buildouts including staging, access control development, and infrastructure deployment Oversee construction security programs to protect assets and intellectual property during vulnerable development phases Drive security vendor selection, contract establishment, and performance standards for new locations Lead pre-opening security commissioning and validate all systems meet operational requirements before facility activation Execute seamless operational handoff to site security teams with complete documentation and training Connect stakeholders across different GSIS functions on shared projects You may be a good fit if you have: 8+ years of progressive experience in security project management, with demonstrated expertise owning facility security buildouts from conception through operational handoff Experience leading security assessments for potential office locations and developing comprehensive security infrastructure plans for new facilities Strong background in driving projects with architects, construction teams, and Facilities to integrate security elements into building design within varying regulatory frameworks Proven track record owning complex, multi-phase projects with multiple concurrent workstreams across different locations or time zones Excellent stakeholder management skills with ability to influence and coordinate effectively without direct authority across diverse groups Deep understanding of security technology systems, construction processes, and facility development timelines Strong project management foundation with ability to own schedules, budgets, dependencies, and stakeholder expectations Strong candidates may have: Previous experience in technology company security or managing security programs for high-profile corporate environments with complex requirements Professional security certifications such as CPP, PSP, or PMP Experience with high-security facility standards such as SCIF, ASL, data center security, or controlled environment requirements Experience managing security projects in international locations with varying regulatory and construction practices Understanding of AI safety considerations and unique security requirements for AI development environments Deadline to apply: None applications will be received on a rolling basis.The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$220,000&mdash;$275,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Security Development Project Specialist

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As an Account Executive focused on Retail &amp; Commercial Banking at Anthropic, you'll be part of the foundational team bringing frontier AI to the institutions that serve millions of consumers and businesses every day. You'll drive adoption of Claude across regional and national banks, credit unions, and commercial lenders—helping them transform workflows in customer service, lending operations, risk management, and branch productivity. You'll leverage consultative sales expertise and sector knowledge to secure strategic enterprise deals while becoming a trusted partner to stakeholders navigating AI deployment in highly regulated, customer-facing environments. In collaboration with GTM, Product, Policy, and Marketing teams, you'll shape our approach to this high-volume vertical and help define how AI enhances both operational efficiency and customer experience in banking. Responsibilities Own the full sales cycle from prospecting through close, winning new business and driving revenue within retail and commercial banking accounts. Navigate organizational structures to reach decision-makers across lines of business, operations, technology, and innovation teams. Design and execute sales strategies tailored to the unique procurement dynamics, budget cycles, and regulatory considerations of depository institutions. Translate market intelligence into targeted account plans and campaigns. Identify and develop new use cases across banking workflows—customer support and contact centers, loan origination and underwriting, fraud detection, compliance documentation, and relationship manager enablement—collaborating cross-functionally to differentiate our offerings. Build consensus across complex stakeholder ecosystems including business line leaders, Chief Digital Officers, risk and compliance teams, and procurement. Serve as the voice of the customer internally, gathering feedback from users and conveying market needs to inform product roadmaps, security requirements, and go-to-market positioning. Contribute to the evolution of our financial services sales methodology by documenting learnings, refining playbooks, and identifying process improvements that drive productivity and consistency. You may be a good fit if you have 5+ years of enterprise B2B sales experience, with significant time selling into retail banks, commercial banks, or credit unions A track record of closing complex, multi-stakeholder deals within depository institutions by navigating both technical requirements and business use cases Deep familiarity with how banks buy technology—including vendor risk management, regulatory compliance reviews, and enterprise procurement processes Experience negotiating enterprise agreements within banking procurement frameworks, including navigating legal, compliance, and infosec requirements Proven history of exceeding revenue targets by effectively managing pipeline and executing a disciplined sales process Strong communication skills and the ability to present confidently to audiences ranging from branch operations leaders to C-suite executives Understanding of retail and commercial banking operations, customer experience priorities, and competitive dynamics in the sector A strategic, analytical mindset combined with creative tactical execution Genuine enthusiasm for AI and its potential to transform banking, paired with appreciation for the importance of safe, responsible, and compliant deployment The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$290,000&mdash;$435,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Strategic Account Executive, Retail & Commercial Banking

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the roleAs the Hardware Operations Lead within the Data Center Infrastructure organization, you will define and manage end-to-end operations across Anthropic’s growing fleet of data center hardware. You will be accountable for all regional data center physical operations including material movement, physical deployment, bring-up, maintenance, and incident response for complex network and high performance compute platforms. As a subject matter expert in data center infrastructure and operations, you will develop scalable processes for execution, help manage data center partners &amp; vendors, lead deployment schedules and maintain close coordination with related disciplines such as design, engineering, and capacity planning. If you are experienced in operations, are passionate about HPC data centers, &amp; enjoy working in complex, fast-paced environments, we welcome you to apply.Responsibilities:Define the Hardware Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting.Oversee third-party delivery and bring-up of network and compute systems from material delivery through QA testing, handover to production, and ongoing operations and maintenance.Drive development of tools and processes in support of operations workflows, traceability, and vendor coordination.Develop innovative approaches to improve time to market &amp; equipment availability for data center hardware.Enable scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes.Manage partner relationships and maintain alignment with Anthropic goals.You may be a good fit if you:Have 7+ years of experience in data center operations as a manager, engineer, technical lead or related role.Can demonstrate a proven track record overseeing a portfolio of mission critical systems.Are a subject matter expert in operational processes including deployment, maintenance, material movement, and warehousing.Can demonstrate subject matter expertise common data analytics/dashboarding tools such as PowerBI, Atlassian Analytics, Tableau, or similar.Are experienced in third-party partner relationship management.Bachelor's degree in relevant domain or equivalent practical experience.It's a bonus if you have:10+ years of experience managing operations and logistics for large scale data centers.An understanding the unique requirements of AI/ML workloads, including power, cooling, and network connectivityExperience in supply chain management including bill of material definition, sourcing, procurement, and vendor onboarding/management.Experience managing third-party datacenters such as colo operators and/or contract operations staffing vendors.Experience in data center facility infrastructure such as mechanical, electrical, and plumbing systems.Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:&nbsp;A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Data Center Hardware Operations Lead

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role Anthropic is seeking an experienced Developer Campaign Marketer to lead marketing efforts for Startups and Claude Code, our command line tool that enables developers to delegate coding tasks directly from their terminal. In this pivotal role, you will develop and execute comprehensive marketing campaigns that drive awareness, adoption, and engagement with Claude Code among startups, developers, technical teams, and engineering organizations. You will work at the intersection of developer relations, product marketing, and community building, executing on integrated campaigns that bring together compelling technical content and programs that resonate with developers. As a key member of the marketing team, you will be responsible for driving pipeline and active usage of Claude Code by working with Product Marketing to design campaigns that communicate our value propositions through the right channels and create scalable programs that drive measurable growth. The ideal candidate combines technical understanding with strong marketing instincts and can orchestrate campaigns that developers want to engage with. Responsibilities Develop and execute comprehensive marketing campaigns for Claude Code to generate pipeline by driving awareness and adoption among startups, developers, technical teams, and engineering organizations Develop deep understanding of the AI developer and startups audience, including behaviors, communication preferences, and communities, to inform channel strategy and adapt campaign messaging that resonates with how developers discover, evaluate, and adopt AI tools Partner with Product Marketing to translate product positioning and go-to-market strategy into executable campaign plans for developer audiences Execute on integrated marketing campaigns by working with centers of excellence across channels including content, media, developer-focused platforms (GitHub, Stack Overflow, Hacker News, Reddit), events, and partnerships Own campaign performance reporting and optimization iteration; provide feedback loop on campaign performance back to Product Marketing leadership Partner closely with product marketing and engineering teams to ensure marketing campaign strategies align with product development and user needs Track and analyze key metrics including Claude Code pipeline in target accounts, developer adoption, engagement, retention, and satisfaction, using data to continuously optimize marketing strategies Collaborate with the broader marketing team to ensure Claude Code messaging is integrated into Anthropic's overall marketing campaign and serve as execution lead on campaigns focused on our developer and startups audiences You have: 5+ years of experience in developer or campaign marketing with ownership of pipeline target, technical product marketing or developer relations experience is a plus Experience building and scaling demand gen programs targeted to developer communities, whether through online platforms, events, or advocacy programs Deep understanding of developer workflows, tools, and communities Demonstrated success launching and marketing developer tools, CLI tools, APIs, or infrastructure products Excellent collaboration skills and experience working cross-functionally with product, engineering, and sales teams Analytical mindset with experience tracking developer metrics and using data to inform marketing decisions and optimize campaign tactics Genuine passion for developer experience and a track record of earning trust and credibility in developer communities Nice to haves: Experience marketing AI/ML tools or emerging technology categories to technical audiences Background in software engineering or technical roles with professional coding experience Experience with open source community building and contribution Familiarity with command line tools, terminal workflows, and developer productivity tools Experience in high-growth startup environments or launching new developer products from scratch The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$255,000&mdash;$255,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Developer Campaign Marketer - Claude Code

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is seeking a Director of UI Engineering to lead the teams responsible for building all consumer-facing Claude experiences—including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving the technical vision and execution for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be. This is a highly technical leadership role. While you'll be responsible for building and guiding engineering teams, you'll remain deeply hands-on— steering architectural decisions and staying close to the work. You'll partner closely with Product, Design, Research, and Go-to-Market teams to not only build what's on the roadmap, but to anticipate where the product needs to go next. We're looking for someone who can see around corners and help us skate to where the puck is going. We're building at an extraordinary pace in a rapidly evolving space. You should thrive in environments where priorities shift quickly, where you're expected to ship fast without sacrificing quality, and where the problems you're solving don't have established playbooks. Responsibilities: Lead and grow the UI engineering teams responsible for Claude's consumer products across web, mobile (iOS/Android), desktop, and browser extensions Define the technical vision and architecture for our frontend systems, ensuring they scale with our rapidly growing user base Stay deeply technical—participate in design reviews and architectural decisions while maintaining a broad view of the product Partner closely with Product and Design to shape product direction, bringing an informed point of view on what we should build and how users will experience it Drive engineering excellence through best practices in performance, accessibility, and cross-platform consistency Build and mentor a world-class team of frontend engineers, creating an environment where people do the best work of their careers Collaborate across functions—including Research, Trust &amp; Safety, and Go-to-Market—to ensure our products meet the needs of users and the business Navigate ambiguity and make sound decisions quickly in a fast-moving environment You may be a good fit if you: Have 10+ years of experience building consumer-facing web and mobile applications at scale, with several years in engineering leadership roles Have led teams that shipped products used by millions of users, with a track record of delivering high-quality, responsive, and accessible interfaces Remain deeply technical despite your leadership responsibilities—you can dive into the code, debug complex issues, and make informed architectural tradeoffs Have strong opinions on product and design, developed through years of building consumer experiences, and can advocate effectively for the user Excel at cross-functional partnership and can build trust quickly with Product, Design, Research, and other stakeholders Thrive in fast-paced, ambiguous environments and can balance speed with quality Are excited by the challenge of building interfaces for AI-powered products, where the interaction paradigms are still being invented Care deeply about craft—you notice the details that make an experience feel polished and intuitive Strong candidates may also have: Experience building products across multiple platforms (web, iOS, Android, desktop, browser extensions) and understanding the unique constraints of each Background in building real-time, interactive applications where latency and performance are critical Experience with modern frontend frameworks and architectures (React, React Native, TypeScript, etc.) Familiarity with AI/ML-powered products and the unique UX challenges they present A track record of building and scaling engineering teams through periods of rapid growth Experience establishing frontend platform capabilities that enable faster iteration across multiple product surfaces Deadline to apply None. Applications will be reviewed on a rolling basis. &nbsp;The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$485,000&mdash;$625,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Director of UI Engineering, Claude Consumer Products

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Anthropic is seeking an enterprise education specialist to join our team on a contract basis to adapt and build educational materials for enterprise audiences. As the enterprise education lead, you’ll be responsible for maintaining a library of educational content geared towards our Claude for work users across verticals including finance, life sciences, and more to be announced.&nbsp; You’ll work with subject matter experts to adapt existing content to understand and meet the unique needs of these audiences. Where needed, you’ll create net-new written content (including written tutorials and storyboard scripts) for bespoke education content. Key Responsibilities Develop and maintain a library of enterprise-focused educational content, including written tutorials, video storyboards and more, tailored to verticals like finance, life sciences, and others as they emerge Partner with subject matter experts, product teams, and enterprise customers to identify learning gaps and create content that addresses specific industry needs and workflows Manage the end-to-end content development lifecycle, from scoping and stakeholder alignment through creation, review, and iteration Use Claude to accelerate content development, including drafting, adapting existing materials for new audiences, and generating personalized learning pathways Track content performance and learner feedback to continuously improve materials You may be a good fit if you have: 5+ years of experience in program management, instructional design, or educational content development Demonstrated ability to manage complex, cross-functional projects with multiple stakeholders and competing priorities Experience creating educational content for enterprise or professional audiences Strong written communication skills with the ability to translate technical concepts for varied audiences Hands-on experience using AI tools (ideally Claude) to support content creation workflows Comfort working in ambiguous, fast-moving environments where you'll need to build processes from scratch Strong candidates may also have: Background in finance, life sciences, or other regulated industries Experience with video production or multimedia content development Prior experience at a high-growth technology company What You Can Expect Opportunity to work on cutting-edge AI technology education Collaboration with world-class researchers and engineers Competitive compensation Remote work options available &nbsp; This is a 6-month contract position with the possibility of extension based on project needs and performance.The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$100&mdash;$125 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Enterprise Education Specialist (Contract)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role This is a critical leadership role responsible for building and expanding Anthropic's partner ecosystem across international markets. You will lead a multi-functional, multi-geography team working across Global Systems Integrators (GSIs), Management Consulting firms, Regional Systems Integrators, and Agencies—spanning EMEA, APAC, LATAM, and emerging markets. In this role, you will bring deep experience operating across diverse cultures and geographies, with the ability to adapt strategies to local market dynamics while maintaining global consistency. You will be instrumental in establishing Anthropic's international presence, amplifying our brand globally, and driving transformational partner-sourced revenue across multiple regions. This role requires someone who thrives in ambiguity, can build from the ground up in new markets, and is driven to deliver exceptional results. You understand that commercial success internationally is fundamental to advancing Anthropic's mission on a global scale. Responsibilities: Team Leadership &amp; Global Expansion Build and lead a high-performing, geographically distributed team of partnership sales and collaboration professionals capable of operating and influencing at senior levels within partner organizations Recruit, develop, and retain exceptional talent across multiple regions and cultures Create a unified, results-oriented culture across geographies that attracts top talent and delivers outstanding outcomes Foster a team environment that competitively differentiates Anthropic and is relentless in the pursuit of excellence, regardless of market International Market Development Develop and execute market entry and expansion strategies for EMEA, APAC, LATAM, and emerging markets Adapt partnership models and go-to-market approaches to local market dynamics, regulatory environments, and cultural nuances Identify and prioritize high-potential markets for investment and expansion Navigate complex international business environments including regulatory, compliance, and data sovereignty considerations Partner Ecosystem Development Lead multi-functional partner coverage across GSIs, Management Consulting firms, Regional SIs, and Agencies in each region Work with partners to amplify the Anthropic brand internationally and establish Claude as the AI platform of choice across global markets Support the initiation and development of $100M+ strategic relationships with global and regional partners Interface and work closely with Anthropic's GTM, Cloud Sales Partnerships, and North American Partnerships teams to ensure global alignment and maximize market impact Sales Enablement &amp; GTM Scaling Scale Anthropic's international sales and GTM teams through localized training, enablement programs, and region-specific use cases Develop and deploy partner-led GTM motions tailored to each market that drive pipeline and accelerate deal velocity Create competitive differentiation through partner capabilities and joint value propositions adapted for local markets You may be a good fit if you have: Significant experience building and scaling partner ecosystems across multiple international geographies with demonstrable evidence of driving substantial incremental revenues Proven track record of developing large-scale GSI practices internationally that find, close, and retain business Experience initiating and managing $100M+ strategic partnerships across diverse markets Deep experience operating across multiple regions (EMEA, APAC, LATAM) with understanding of local business practices, cultural nuances, and market dynamics Track record of successfully entering and building presence in new international markets Strong background in enterprise technology sales internationally, ideally within cloud, AI/ML, or platform businesses History of delivering exceptional customer success, brand protection, and lifetime value through partner channels globally Experience leading and scaling high-performing, geographically distributed partnership teams Executive presence with the ability to influence and build relationships at C-suite level across diverse cultures Exceptional cross-cultural communication skills and cultural intelligence Commercial acumen with deep understanding of international enterprise sales cycles and partner economics across different markets Strategic thinking skills that balance global consistency with local market adaptation Comfort with ambiguity and experience building in nascent or emerging markets Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams Willingness to travel extensively across international markets Passion for AI and alignment with Anthropic's mission of beneficial AI development Strong candidates may also have: Proficiency in multiple languages Experience specifically within AI/ML or frontier technology companies Established relationships with major global systems integrators and consulting firms Background in building partner programs from the ground up at high-growth technology companies The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:£1&mdash;£1 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Head of International Partnerships

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is seeking an experienced leader to build and scale our partner ecosystem across North America. In this critical leadership role, you will lead a multi-functional team working across Global Systems Integrators (GSIs), Management Consulting firms, Regional Systems Integrators, and Agencies—all in close collaboration with Anthropic's Go-to-Market and Cloud Sales Partnerships teams. You will be instrumental in amplifying the Anthropic brand in market, enabling our sales organization, and driving transformational partner-sourced revenue. This role requires someone who understands that commercial success is fundamental to landing Anthropic's mission of developing safe and beneficial AI. Responsibilities Team Leadership Build and lead a high-performing team of partnership sales and collaboration professionals capable of operating and influencing at senior levels within partner organizations Create a culture that attracts top talent and delivers exceptional results Foster an environment focused on competitive differentiation and consistent pursuit of success Partner Ecosystem Development Lead multi-functional partner coverage across GSIs, Management Consulting firms, Regional SIs, and Agencies Work with partners to amplify the Anthropic brand and establish Claude as the AI platform of choice Support the initiation and development of $100M+ strategic partnerships Collaborate closely with Anthropic's Go-to-Market and Cloud Sales Partnerships teams to maximize market impact Sales Enablement &amp; GTM Scaling Scale Anthropic's sales and GTM teams through training, enablement programs, and compelling use cases Develop and deploy partner-led GTM motions that drive pipeline and accelerate deal velocity Create competitive differentiation through partner capabilities and joint value propositions You may be a good fit if you have: Significant experience building partner ecosystems with demonstrable evidence of driving substantial incremental revenues Proven track record of developing GSI practices that successfully find, win, and retain business Experience initiating and managing $100M+ strategic partnerships Strong background in enterprise technology sales, ideally within cloud, AI/ML, or platform businesses History of delivering exceptional customer success and lifetime value through partner channels Experience leading and scaling high-performing partnership teams Strong candidates may also have: Executive presence with the ability to influence and build relationships at C-suite level Deep understanding of enterprise sales cycles and partner economics Strategic thinking skills balanced with the ability to execute at pace Collaborative approach with ability to work cross-functionally across sales, product, and marketing Passion for AI and alignment with Anthropic's mission of beneficial AI development The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$1&mdash;$2 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Head of North America Partnerships

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Designer for Claude Developer Platform at Anthropic, you'll shape how developers experience our API products—from the Console and documentation to Workbench and beyond. This role focuses on the core developer platform, including: Make building and maintaining high-quality applications with the Anthropic API frictionless.&nbsp; Support frontier capabilities and API features via tooling, workflows, and documentation. Design best-in-class admin experiences for API utilities like billing, usage, and access management. Define the future suite of utilities for developers to confidently build, monitor and control agentic systems. As a designer at Anthropic, you’ll work alongside product managers, engineers, and AI researchers to shape experiences that transform Claude from a tool into a trusted collaborator:&nbsp; We design products that solve real problems by combining deep understanding of user needs with our unique perspective on LLMs. Design plays a critical role in building transformative AI systems that feel reliable, interpretable, and trustworthy. Designers give shape to our vision for tremendous human progress through AI. We leverage unique skills like storytelling and prototyping to communicate ideas and their feasibility. We execute on interaction and visual details with a high degree of polish, focusing on shipping, learning, and continuous improvement. Read more here for the type of features we build.&nbsp; Responsibilities: Contribute to the strategic direction of our tools, rooted in deep user empathy Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps Rapidly prototype ideas using code and other methods to communicate concepts and build excitement Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment You may be a good fit if you have: 8+ years of product design experience (experience designing complex workflows, enterprise/B2B SaaS, developer tools, or API products preferred) Strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms Proven track record of executing end-to-end on large and complex products or a series of products in ambiguous environments Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities Experience with prototyping, especially using front-end code (e.g. HTML/CSS/JS) preferred Strong candidates may: Ship opinionated products and make things customers want. Model a builder mindset to explore and communicate through prototyping and design. Build trust with users through craft and connection. Be proactive and make things happen in a startup environment Have a technical understanding of LLMs and can build on top of them. Design new, functional and easy to use interaction design conventions that are on the frontier. The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$260,000&mdash;$305,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Designer, Claude Developer Platform

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a designer at Anthropic, you’ll work alongside product managers, engineers, and AI researchers to shape experiences that transform Claude from a tool into a trusted collaborator:&nbsp; We design products that solve real problems by combining deep understanding of user needs with our unique perspective on LLMs. Design plays a critical role in building transformative AI systems that feel reliable, interpretable, and trustworthy. Designers give shape to our vision for tremendous human progress through AI. We leverage unique skills like storytelling and prototyping to communicate ideas and their feasibility. We execute on interaction and visual details with a high degree of polish, focusing on shipping, learning, and continuous improvement. Read more&nbsp;here for the type of features we build. Responsibilities: Build expertise in industries like education, financial services, and healthcare to design intuitive experiences that help people leverage AI at work in transformative ways. Remove enterprise adoption barriers and create solutions to help companies realize value quickly. Build intuitive tooling to ensure the successful rollout of Claude to large organizations. Design intuitive and scalable self-serve solutions. Improve understanding &amp; help employees learn how to use Claude to gain value faster. Contribute to the strategic direction of our tools, rooted in deep user empathy Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps Rapidly prototype ideas using code and other methods to communicate concepts and build excitement Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment You may be a good fit if you have: 8+ years of product design experience (experience designing complex workflows, enterprise/B2B SaaS, developer tools, or API products preferred) Strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms Proven track record of executing end-to-end on large and complex products or a series of products in ambiguous environments Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities Experience with prototyping, especially using front-end code (e.g. HTML/CSS/JS) preferred Strong candidates may: Ship opinionated products and make things customers want. Model a builder mindset to explore and communicate through prototyping and design. Build trust with users through craft and connection. Be proactive and make things happen in a startup environment Have a technical understanding of LLMs and can build on top of them. Design new, functional and easy to use interaction design conventions that are on the frontier. The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$305,000&mdash;$385,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Designer, Enterprise

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals. The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals You may be a good fit if you: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$360,000&mdash;$435,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Strategic Account Executive, Industries

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$240,000&mdash;$270,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Startups Solutions Architect, Applied AI

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We are seeking an experienced Corporate Counsel with deep expertise in mergers and acquisitions to join our growing legal team. As Anthropic continues to scale rapidly, we need a skilled M&amp;A attorney who can lead complex transactions—including acquisitions, divestitures, strategic investments, and joint ventures—from initial due diligence through execution and post-closing integration. The ideal candidate will have significant experience at a nationally recognized law firm and/or in-house at a high-growth technology company, with a track record of managing both domestic and cross-border transactions. You will work closely with our Corporate Development, Finance, and executive teams to execute strategic transactions that support Anthropic's mission and growth objectives. Beyond M&amp;A, you will also contribute to general corporate matters including securities compliance and corporate governance. Responsibilities: Lead all aspects of M&amp;A transactions, including acquisitions, divestitures, minority investments, and other strategic transactions, from due diligence through closing and post-closing integration Draft, review, and negotiate transaction documents including letters of intent, term sheets, purchase agreements, ancillary agreements, and related closing documentation Manage and coordinate due diligence processes, including oversight of cross-functional workstreams and third-party advisors Provide strategic counsel on deal structuring, risk allocation, purchase price mechanisms, representations and warranties, indemnification, and other key transaction terms Prepare materials for and present to the Board of Directors and executive leadership on transaction matters Manage outside counsel relationships, including staffing, budgets, and work product quality on complex transactions Represent the Legal Department on post-closing integration matters, working cross-functionally to ensure smooth transitions Develop and maintain standardized processes, playbooks, and template documents to drive efficiency and best practices across M&amp;A transactions Support general corporate matters as needed, including public company reporting, securities law compliance, equity compensation administration, and corporate governance You may be a good fit if you have: A JD from an accredited law school and active membership in at least one U.S. state bar 7+ years of M&amp;A legal experience at a nationally recognized law firm and/or in-house at a high-growth technology company A deep understanding of M&amp;A transaction structures, including stock purchases, asset purchases, mergers, minority investments, and joint ventures Experience with both domestic and cross-border transactions A well-versed in technology companies and startups, with an understanding of the unique legal issues they present Are humble, thoughtful, exercise sound judgment, and operate at the highest level of integrity Exceptional analytical, drafting, negotiation, and communication skills, with the ability to translate complex legal issues into clear, practical advice The ability to thrive in a fast-paced, dynamic environment and can manage multiple transactions and priorities simultaneously Strong business acumen and can provide solutions-oriented legal advice that supports company growth objectives The independence and capabilities of a self-starter who can drive projects forward with minimal supervision A strong capability to collaborate cross-functionally, and can effectively partner with and influence internal and external stakeholders at all levels Strong candidates may have: In-house M&amp;A experience at a technology company Experience with public company securities law compliance and SEC reporting Experience with equity compensation administration Experience with AI, machine learning, or other emerging technology companies Strong presentation skills with the ability to translate legal jargon into plain language for business stakeholders Role-specific policy: For this role, we expect staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$320,000&mdash;$385,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Corporate Counsel, M&A

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Data Operations, Product Partnerships About the Role Working in Data Operations on the Product Partnerships team at Anthropic, you will support a cross-functional team in implementing partnership strategies to improve Anthropic’s products. You'll ensure data meets our standards and reaches the right teams, build systems to track compliance and data usage across the portfolio, and coordinate across Research, Product, Legal, and external partners to remove barriers and accelerate impact. This role requires operational excellence combined with technical understanding, and is a great fit for someone who wants to apply those skills in a high-impact, fast growth context. Responsibilities Data Delivery and Review &nbsp; Develop and maintain Anthropic's preferred standards for receiving and consuming data, ensuring alignment with Product and Engineering's evolving needs Own end-to-end data delivery workflows, ensuring data moves seamlessly from partners to internal teams to accelerate time-to-impact Analyze and review incoming or prospective data to verify it is useful and strategic for Anthropic Troubleshoot delivery issues and coordinate with partners and internal teams to resolve them &nbsp; Data Systems, Tracking, and Compliance &nbsp; Build scalable systems and dashboards to monitor and analyze where data lives, how it's being used, and compliance status Ensure adherence to all of Anthropic’s and partner’s commercial obligations&nbsp; Design processes for onboarding new data sources and partners efficiently Partner with Infrastructure to set the standard for data cataloging across Anthropic as we scale &nbsp; Cross-Functional Coordination &nbsp; Collaborate with Research, Product, Legal, Security and Infrastructure teams to ensure data is accessible and usable Guide external partners through Anthropic's data standards, delivery expectations, and processes Provide operational support to data partnership initiatives, ensuring smooth execution and adherence to processes and timelines. Prepare regular reports and presentations for executive leadership, highlighting key data metrics, insights, opportunities, and recommendations re: data delivery standards and practices. You May Be a Good Fit If You Have 5+ years of experience in data operations, technical program management, or a related role that blends operational and technical work Have a background in engineering or data science—you can write light code (Python, SQL), do data analysis, and work with data pipelines Think systematically and can design processes and infrastructure that scale Are highly detail-oriented and take ownership of getting things right, especially around data quality and compliance Navigate ambiguity effectively and can build structure where none exists Communicate effectively with internal teams and external partners, representing Anthropic's data standards and delivery expectations Demonstrate a bias for action—you identify problems and solve them rather than waiting for direction Strong Candidates May Also Have Experience building dashboards, tracking systems, or data cataloging infrastructure Familiarity with data governance, compliance, or rights management Track record of building operational processes from scratch in a fast-growth environment Experience evaluating and optimizing data strategies based on data-driven insights. Candidates Need Not Have Deep expertise in AI or machine learning—you'll learn the relevant context on the job &nbsp;The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$205,000&mdash;$240,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Data Operations, Product Partnerships

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. We're looking for an engineering leader to own the foundational platform that powers all of these surfaces: the shared infrastructure, APIs, tooling, and systems that enable product teams to ship reliably, quickly, and with confidence. In this role, you'll lead the team responsible for reliability, latency, developer velocity, and common components across Claude.ai's UI surfaces. This includes the backend-for-frontend (BFF) APIs that power our client applications. Your work will directly determine how fast customer, partner, and product teams can innovate—and how stable their experiences are when they ship. This is a highly technical leadership role: you'll stay close to the code, drive architectural decisions, and build the systems that let others move faster. This is a unique opportunity to shape the developer experience and platform foundations for one of the most rapidly evolving AI products in the world. You'll partner closely with product engineering teams, infrastructure, and leadership to ensure Claude.ai scales gracefully as we grow. Responsibilities Lead and grow the UI Platform team, setting technical direction for reliability, performance, and developer experience across all Claude.ai surfaces Own the foundational systems that product teams depend on: shared components, BFF APIs, build and deploy pipelines, observability, and performance infrastructure Design and evolve the API layer that powers Claude.ai's client applications, ensuring clean abstractions and reliable contracts for product teams Drive improvements to developer velocity—reducing friction, improving tooling, and enabling teams to ship features faster and more safely Establish and maintain high standards for latency, reliability, and quality across the platform Partner closely with product engineering, infrastructure, and leadership to align platform investments with product priorities Create clarity and direction in a fast-moving, ambiguous environment where priorities shift as Claude.ai evolves Build a culture of technical excellence, collaboration, and continuous improvement within your team You may be a good fit if you Have 10+ years of software engineering experience, with significant time spent building platforms, developer tools, or infrastructure for consumer-facing products Have 5+ years of engineering leadership experience, including managing and growing teams in high-growth environments Have deep expertise in modern web development stacks (React, Next.js, TypeScript) and experience designing APIs that serve frontend applications Are passionate about developer experience and have a track record of building tools and systems that make other engineers more productive Have strong opinions on reliability, observability, and performance—and know how to operationalize those opinions at scale Can balance technical depth with strategic thinking, staying hands-on while also setting long-term direction Thrive in ambiguity and can create structure and clarity for your team when the path forward isn't obvious Communicate effectively across functions and can build alignment with product, design, and infrastructure partners Strong candidates may also have experience with Building and scaling platforms for multiple surfaces (web, mobile, desktop, extensions) with shared infrastructure Designing BFF architectures and API patterns that balance flexibility with consistency Performance optimization and latency reduction in consumer-facing applications CI/CD, build systems, and deployment automation at scale Observability and monitoring systems (metrics, logging, tracing) Working on AI/ML products or in rapidly evolving product environments &nbsp;The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$405,000&mdash;$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Engineering Manager, UI Platform

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is seeking an experienced FP&amp;A Systems Lead to own and optimize our Enterprise Performance Management (EPM) platform and drive the evolution of our financial planning, modeling, and reporting capabilities. In this role, you will serve as the technical leader for our financial systems infrastructure, working closely with the Finance BI and Analytics team to implement advanced data strategies and reporting frameworks that support our rapid growth and complex business needs. As our EPM platform administrator and strategic architect, you will be responsible for ensuring optimal functionality and performance while designing and implementing sophisticated scenario planning and predictive analytics capabilities. This role offers the opportunity to shape the financial technology foundation that enables data-driven decision-making across Anthropic's leadership team and supports our mission to develop safe and beneficial AI systems. Responsibilities: Systems Administration and Development Serve as the primary administrator for our EPM platform (Pigment), ensuring optimal functionality, performance, and reliability Design, develop, and maintain EPM models to support comprehensive financial planning, budgeting, forecasting, and reporting processes Project manage EPM integrations with other enterprise systems including NetSuite, Workday, and additional data sources Develop and maintain comprehensive system documentation, including model design specifications, user guides, and training materials Oversee system architecture, hierarchy, security, and metadata management to align with evolving business requirements Stay current on the latest EPM platform features and functionality, evaluating and implementing enhancements that drive business value Advanced Planning and Predictive Analytics Optimize the EPM platform to implement comprehensive scenario planning capabilities that support strategic decision-making Design and implement advanced predictive planning models that improve forecast accuracy and business insight Develop scalable financial planning and reporting tools to enable best-in-class budgeting, forecasting, and long-range planning processes Implement and optimize sophisticated financial models for P&amp;L and cash flow management, enhancing predictability and strategic insight Create flexible modeling frameworks that can adapt to changing business needs and support rapid organizational growth Partner closely with the Finance BI and Analytics team to develop and execute finance data strategies and reporting frameworks Drive development and maintenance of sophisticated financial reports, dashboards, and scorecards that provide actionable insights Ensure the accuracy, integrity, and consistency of recurring financial reporting outputs Process Improvement and Innovation Identify and implement process improvements to streamline financial operations, enhance data quality, and improve reporting efficiency Develop and maintain standard operating procedures (SOPs) for financial systems processes and data management Serve as a thought leader, driving system enhancements and process improvements grounded in industry best practices Work with cross-functional teams to improve data consistency and establish robust data governance practices Analyze stakeholder feedback and business requirements to design scalable solutions with repeatable implementation playbooks Team Leadership and User Support Lead systems implementation and change management efforts, ensuring successful adoption across the organization Drive alignment and buy-in across Finance teams through effective cross-functional coordination and resource planning Provide ongoing user support and training for finance team members and stakeholders in using EPM systems effectively Act as the primary point of contact for troubleshooting and resolving system and process issues Provide guidance, training, and mentorship to team members and system users You may be a good fit if you: Have 10+ years of experience in financial systems administration and development, with deep expertise in EPM platforms Are proficient in EPM system administration, with hands-on experience in platforms such as Pigment, Anaplan, Adaptive Planning, or similar tools Have demonstrated experience with financial data integrations across multiple enterprise systems (ERP, HCM, CRM) Possess strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions Have proven experience in financial modeling, budgeting, forecasting, and scenario planning processes Demonstrate excellent project management skills with a track record of successfully leading system implementations and change management initiatives Are skilled in data visualization and reporting tools (HEX, Looker, Power BI, Tableau, or similar platforms) Have strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders Show enthusiasm for process improvement and innovation, with experience identifying and implementing operational enhancement Are passionate about leveraging technology to drive financial insight and strategic decision-making Thrive in a fast-paced, dynamic environment and enjoy solving complex technical and business challenges Have a strong attention to detail and commitment to data accuracy and system reliability Are excited about the opportunity to build and optimize financial systems that support cutting-edge AI research and development Care about ensuring that transformative AI systems are developed safely and responsibly Strong candidates may have: Experience building and leading FP&amp;A systems teams in high-growth technology environments Advanced knowledge of financial planning and analysis best practices in the AI/technology sector Experience with cloud-based financial systems and modern data architecture approaches Familiarity with SQL, Python, or other data manipulation and analysis tools Professional certification in relevant EPM platforms or financial systems Experience supporting rapid organizational scaling and complex business model evolution Background in working with finance leadership teams on strategic planning and decision support The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$265,000&mdash;$315,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Finance Systems, Finance & Strategy Lead

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with top enterprises across industries. You'll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help enterprise customers embed and deploy AI while uncovering its full range of capabilities across diverse business functions. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the enterprise landscape. The ideal candidate will have a passion for developing people, identifying market opportunities across industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on enterprise buying cycles and decision-making processes Partner closely with Product, Research and Marketing teams to incubate and scale new vertical strategies&nbsp; Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus Gather and synthesize customer feedback to inform product direction and enhance customer experience Build and continuously refine the enterprise sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience within the Enterprise segment Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations Strong technical acumen and ability to understand complex AI solutions, with experience enabling teams to have credible technical conversations with technical and business stakeholders Track record of successful partnership with technical teams throughout the customer journey Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives Strategic approach to market analysis combined with tactical excellence in execution Passion for AI technology and commitment to its safe, responsible development The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$360,000&mdash;$435,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Manager, Account Executive - Enterprise Sales

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. &nbsp; Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability. &nbsp; Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and solutions architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: 4+ years of experience in technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$200,000&mdash;$300,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Engineer, Applied AI, Digital Natives Business

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We're looking for a Product Marketing Lead to own the go-to-market strategy for our first-party agent products—Claude.ai and Claude Code—the products that are defining how enterprises adopt AI to empower employees and transform productivity. This is a portfolio leadership role: you'll shape positioning, drive launches, and ensure our agent products work together as a cohesive offering that wins in the enterprise market. This role sits at the intersection of product strategy and commercial execution. You'll partner deeply with Product to shape roadmaps based on market insights, with Sales to arm them with the narratives and tools they need to win, and with Marketing to amplify our story across every channel. If you've led product marketing for platform businesses, understand how to manage a portfolio of products that serve different user needs, and thrive in fast-moving environments where you can shape the trajectory of an entire business, this role is for you. Responsibilities Manage the PMM teams that own the end-to-end go-to-market strategy for Claude.ai and Claude Code, from positioning and messaging to launch execution and sales enablement Develop and maintain a unified portfolio narrative that articulates how our agent products work together to serve enterprise needs Drive product launches that generate market momentum, from flagship releases to incremental feature updates Build deep market intelligence capabilities—understanding competitive dynamics, buyer needs, and emerging use cases—and translate insights into product and positioning recommendations Create sales enablement programs that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling Partner with Product to influence roadmap priorities based on market feedback and competitive positioning Collaborate with demand generation and brand marketing to amplify product narratives across channels Establish and track success metrics that tie product marketing efforts to pipeline, revenue, and adoption outcomes Build relationships with key customers and prospects to gather insights and develop reference programs You may be a good fit if you Have 10+ years of product marketing experience, with significant time spent on enterprise software or platform products Have led product marketing for a portfolio of products and understand how to create coherent narratives across multiple offerings Possess strong commercial instincts—you understand enterprise sales cycles, buyer journeys, and what it takes to win competitive deals Excel at crafting positioning and messaging that resonates with technical and business audiences alike Have a track record of successful product launches that drove measurable business impact Can operate at both strategic and tactical levels—comfortable setting vision and rolling up your sleeves to ship Thrive in cross-functional environments and have experience influencing product roadmaps through market insights Are energized by ambiguity and moving fast in a rapidly evolving market Strong candidates may have Experience marketing AI/ML products or developer tools to enterprise buyers Background in both platform and application product marketing Experience building product marketing functions or teams from early stages Track record of marketing products in highly competitive, fast-moving markets Familiarity with enterprise productivity tools, developer workflows, or AI agents Experience working closely with sales teams on strategic deals Role-specific policy:&nbsp;For this role, we expect all staff to be able to work from our San Francisco at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation.&nbsp; Deadline to apply: None. Applications will be reviewed on a rolling basis.The expected&nbsp;base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$320,000&mdash;$400,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Marketing Lead, Agents

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You'll Do: Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows Apply deep expertise in threat modeling and risk assessment to secure complex multi cloud environments Mentor engineers and contribute to hiring and growth of the Security team Who You Are: 5-15+ years of software engineering experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience managing infrastructure at scale with DevOps and cloud automation best practices Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values Strong candidates may also have experience with: Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement Building secure development workflows through hardened remote environments Implementing network segmentation and access controls in cloud environments Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies Deadline to apply: None applications will be received on a rolling baseLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Software Security Engineer

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Job Description About the role &nbsp; Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Digital Native Business (DNB) segment. As an Enterprise Customer Success Manager for DNB, you’ll be the strategic partner and a trusted advisor to our most complex customers with a portfolio of innovative, technology-forward companies—from high-growth to established tech leaders—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll work with organizations that move fast and push the boundaries of what's possible with LLM technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.&nbsp; In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption &amp; seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.&nbsp; The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and other Digital Native Businesses&nbsp; to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks for your DNB portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Experience working with technology companies, SaaS platforms, or digital-first businesses—ideally including high-growth and established tech companies Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$200,000&mdash;$315,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Customer Success Manager, Digital Native Business

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Digital Native Business (DNB) segment. As an Enterprise Customer Success Manager for DNB, you’ll be the strategic partner and a trusted advisor to our most complex customers with a portfolio of innovative, technology-forward companies—from high-growth to established tech leaders—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll work with organizations that move fast and push the boundaries of what's possible with LLM technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.&nbsp; In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption &amp; seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.&nbsp; The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and other Digital Native Businesses&nbsp; to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks for your DNB portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Experience working with technology companies, SaaS platforms, or digital-first businesses—ideally including high-growth and established tech companies Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$200,000&mdash;$260,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Customer Success Manager, Digital Native Businesses

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Responsibilities:&nbsp; Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials&nbsp; Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives Collaborate with other members of strategic finance, FP&amp;A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations Establish and implement reporting dashboards and scorecards to track key operational and financial metrics You may be a good fit if you have: 7+ years in experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Excitement about working in a fast paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Strong candidates may also have:&nbsp; GTM Finance Business Partnership experience&nbsp; A combination of 3+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking Experience with consumption based and/or complex business models High knowledge of and interest in effective go-to-market strategies including deal-desk management Background in AI, ML, or related technologies &nbsp;The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$235,000&mdash;$310,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Finance & Strategy, GTM

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role&nbsp; Anthropic is seeking a results-driven Go-To-Market Recruiter to help establish and scale our teams across Sales, Post-Sales, Partnerships, Applied AI, and Revenue Operations functions in the APAC region. Based in Tokyo, you'll be instrumental in our expansion across Japan and Korea—serving as a founding recruiting hire in the region while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our regional leadership to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts. Key Responsibilities: Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes in APAC Develop culturally-informed sourcing strategies to attract top talent across Japan and Korea, with potential expansion to broader APAC markets Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks You may be a good fit if you: Have 7+ years of full-cycle recruiting experience in high-growth GTM functions in Asia-Pacific markets Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments Are passionate about leveraging technology and AI to transform recruiting processes Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones Have experience with data-driven recruiting and metrics-based performance tracking in international contexts Show exceptional communication skills in English with ability to work effectively across cultural contexts Are fluent in Japanese and/or Korean (native or business-level proficiency strongly preferred) Understand nuances of hiring practices, employment law, and professional norms in Japan and Korea Have experience working with distributed teams across significant time zone differences Strong candidates may also: Have experience recruiting for AI or deep technology companies in Asian markets Demonstrate success in establishing recruiting functions during international expansion Show expertise in building company culture and employer brand in new markets Have established networks within Japan and Korea's technology ecosystem Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

GTM Recruiter, APAC

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Partner Marketing Manager for Global System Integrators (GSIs) at Anthropic, you will play a pivotal role in building and scaling our partner marketing initiatives with the world's leading consulting firms and systems integrators. You will develop and execute comprehensive go-to-market programs that drive enterprise adoption of Claude through these strategic partnerships. In this role, you will craft compelling joint value propositions, create executive-level marketing campaigns, and build scalable enablement programs that empower our GSI partners to successfully position and implement Claude for enterprise customers. You'll be a key connector between Anthropic's alliances organization and our marketing teams, ensuring seamless execution of high-impact programs that accelerate pipeline and revenue growth. This role requires someone who can think strategically about long-term partner relationships while also rolling up their sleeves to execute flawlessly on campaigns, events, and enablement initiatives. You'll need to balance the art of relationship-building with the science of measuring marketing impact, always keeping the focus on driving measurable business outcomes for both Anthropic and our GSI partners. Responsibilities Partner Marketing Strategy &amp; Execution Design and execute comprehensive go-to-market programs with major GSI partners, focusing on enterprise customer acquisition and AI transformation initiatives Develop joint marketing campaigns targeting C-suite and senior decision-makers at enterprise organizations, creating compelling narratives around AI transformation and business value Create repeatable marketing programs that enable GSI partners to effectively position and sell Claude-powered solutions to their enterprise clients Establish and manage joint business planning processes with key GSI partners, including quarterly planning, campaign calendars, and success metrics Collaborate with partner sales and alliances teams to identify priority accounts and develop account-based marketing strategies that leverage GSI relationships Content &amp; Enablement Build partner messaging frameworks and create high-quality enablement materials (pitch decks, solution briefs, case studies, demo scripts) that empower GSI partners to effectively position Claude Develop and deliver partner-specific content that demonstrates the value of Claude integration across different industries and enterprise use cases Create training materials for GSI partners' go-to-market teams, including sales and marketing enablement programs Manage partner resources including brand and co-marketing guidelines, program documentation, and self-service marketing assets Program Management &amp; Execution Lead end-to-end campaign execution with GSI partners, coordinating across product marketing, demand generation, field marketing, and events teams to ensure flawless delivery Manage partner funding programs (MDF/Co-op) and ensure ROI tracking for joint marketing investments Track, measure, and report on partner marketing performance, including partner-sourced pipeline, influenced revenue, and campaign ROI Represent Anthropic at partner events, executive briefings, and industry conferences as needed Build scalable processes and playbooks that can be replicated across the GSI partner ecosystem as we grow You may be a good fit if you Have 10+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Have deep expertise building and executing partner marketing programs with Global System Integrators (GSIs), major consulting firms, or systems integrators Demonstrate strong understanding of enterprise buyer journeys and can create marketing programs that resonate with C-level executives Are skilled at developing compelling joint value propositions that articulate clear business outcomes for enterprise customers Have proven ability to manage complex, cross-functional initiatives with multiple stakeholders across organizations Excel at building trusted relationships with partner marketing and sales teams, establishing yourself as a strategic advisor Are highly organized and detail-oriented, with demonstrated ability to manage multiple programs simultaneously while maintaining quality Possess excellent written and verbal communication skills, with experience creating executive-level content and presentations Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Strong candidates may also have Experience in the AI/ML industry or working with AI-powered products Established relationships within the GSI or major consulting firm ecosystem Proven track record launching and scaling new partner programs from the ground up Experience marketing to technical audiences as well as business decision-makers Understanding of enterprise AI use cases across different industries and functions Background in developing partner training and certification programs Experience with marketing automation platforms, CRM systems, and partner relationship management tools Track record of success in high-growth startup environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role will also require up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$255,000&mdash;$320,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Partner Marketing Lead, GSIs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. About the Role We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability. Responsibilities: Build the next generation of agentic environments Build rigorous evaluations that measure real capability Collaborate across research and infrastructure teams to ship environments into production training Debug and iterate rapidly across research and production ML stacks Contribute to research culture through technical discussions and collaborative problem-solving You may be a good fit if you: Are highly impact-driven — you care about outcomes, not activity Operate with high agency Have good research taste or senior technical experience, demonstrating good judgment in identifying what actually matters in complex problem spaces Can balance research exploration with engineering implementation Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Are comfortable with uncertainty and adapt quickly as the landscape shifts Have strong software engineering skills and can build robust infrastructure Enjoy pair programming (we love to pair!) Strong candidates may also have one or more of the following: Have industry experience with large language model training, fine-tuning or evaluation Have industry experience building RL environments, simulation systems, or large-scale ML infrastructure Senior experience in a relevant technical field even if transitioning domains Deep expertise in sandboxing, containerization, VM infrastructure, or distributed systems Published influential work in relevant ML areas The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$500,000&mdash;$850,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Research Engineer, Universes

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up. This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Responsibilities Prototype and build new AI-powered products for cybersecurity Iterate quickly based on customer feedback and what you learn Collaborate with research teams to identify and develop new model capabilities for security applications Engage directly with customers and partners to understand workflows and inform product direction You may be a good fit if you: Have 7+ years of experience as a software engineer Experience developing cybersecurity products Enjoy fast iteration and are energized by prototyping new ideas Have strong product instincts and enjoy defining what to build, not just how to build it Are comfortable working closely with research and go-to-market teams Have strong communication skills and can work effectively across functions Strong candidates may also have: Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields Experience working with AI/ML models and building products on top of them Experience building agentic applications Deadline to apply: None. Applications will be reviewed on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$320,000&mdash;$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Software Engineer, Cybersecurity Products

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role At Anthropic, we believe artificial intelligence will profoundly impact the world. Our mission is to ensure that transformative AI systems benefit humanity. We are working to build safe and ethical AI systems that can help solve some of humanity's greatest challenges. We are looking for a builder-minded Startup Partnerships to drive the adoption of Anthropic's cutting-edge AI capabilities within the startup ecosystem. This is a 0-to-1 opportunity—you'll be designing and executing innovative programs that enable startups to access and build with Claude. You will partner directly with leading VCs (Lightspeed Ventures, Accel, a16z), accelerators (YC), and our top startup customers to scale our reach and impact. You'll define how Anthropic engages with the fastest-growing segment in technology and become a trusted AI advisor to founders and the VC ecosystem. This role is for builders—someone founders see as a peer and trusted technical partner, not a traditional partnerships hire. You'll be hands-on with data, building your own dashboards, and shaping strategy through rigorous analysis. Responsibilities: Develop and execute Anthropic's startup GTM strategy, identifying and prioritizing top AI-native startups and building tiered engagement programs that balance personalization with scale Build strategic partnerships (with VCs, accelerators, startup ecosystem partners) that drive portfolio engagement—design and launch strategic programs with tier-1 VCs, own relationships end-to-end, negotiate partnership terms, and create exclusive benefits for portfolio companies Create compelling startup-focused offerings, pricing models, and growth initiatives in partnership with accelerators and entrepreneurial communities Build and maintain your own analytics infrastructure—design Hex dashboards, write SQL queries, and use data to drive program optimization and measure ROI Design and execute targeted events and programs—partner with founders and VCs to organize and project manage builder summits, founder salons, hackathons, demo days.&nbsp; Create enablement content, documentation, and trainings to help startups effectively build with Claude—technical content that earns respect from developers and founders Drive cross-functional coordination: Lead internal collaboration across Product, Engineering, Finance, Sales, and Corporate Development to ensure alignment on activation and penetration of accounts across startup ecosystem Program manage strategic execution: Drive accountability on key action items and milestones to ensure goals with key VCs and ecosystem partners stay on track Own executive stakeholder management: Build and maintain stakeholder maps across partner organizations; develop executive communication strategies and materials to strengthen senior relationships and ensure aligned messaging Scope and implement new partner processes: Stand up operational processes from 0 to 1 for new partners, including deal registration, reporting, and funding programs Gather product feedback and represent the needs of the startup community to inform Anthropic's product roadmap Partner closely with Sales, Solutions, Product, Events, and other cross-functional teams on integrated activation strategies and account prioritization You May Be a Good Fit If You: Have 7+ years of experience in product management, founder/operator roles, growth, or technical GTM roles—we're looking for builders, not traditional partnership profiles Are SQL proficient and comfortable building your own Hex dashboards—you'll be responsible for your own analytics and program measurement Have a deep understanding of the startup ecosystem and AI/ML technology landscape—can speak credibly about technical products to technical audiences Have built relationships with VCs, worked at a VC firm, or successfully partnered with accelerators to drive portfolio engagement Excel at 0-to-1 program building—comfortable building from scratch, wearing multiple hats, and scaling based on data Proven ability to develop and execute complex, cross-functional go-to-market programs Possess exceptional communication skills—outstanding writer who crafts narratives for founders, developers, and VCs Thrive in fast-paced environments with bias to action and comfort with ambiguity BA/BS degree or equivalent practical experience Strong Candidates May Also Have: Founded a company or led product at a high-growth startup Direct experience working for or with venture capital firms like Y Combinator, Lightspeed Ventures, Accel, a16z, Sequoia Capital Technical background—former developer, PM with hands-on coding experience, or deep familiarity with AI/ML development workflows Developer advocate or developer relations background with active presence in technical communities Familiarity with large language models and their applications in generative AI Existing relationships with venture capital firms, startup accelerators, and entrepreneurial communities The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$170,000&mdash;$215,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Startup Partnerships

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As an Account Executive focused on Asset &amp; Wealth Management at Anthropic, you'll be part of the foundational team bringing frontier AI to the institutions that manage trillions in assets and serve high-net-worth clients around the world. You'll drive adoption of Claude across asset managers, hedge funds, private banks, wealth managers, and family offices—helping them transform workflows in investment research, portfolio analytics, client reporting, and advisor productivity.You'll leverage consultative sales expertise and sector knowledge to secure strategic enterprise deals while becoming a trusted partner to stakeholders navigating AI deployment in highly regulated, performance-driven environments. In collaboration with GTM, Product, Policy, and Marketing teams, you'll shape our approach to this high-value vertical and help define how AI enhances both investment decision-making and client experience in wealth management. Responsibilities Own the full sales cycle from prospecting through close, winning new business and driving revenue within asset and wealth management accounts. Navigate organizational structures to reach decision-makers across investment teams, operations, technology, and client-facing functions. Design and execute sales strategies tailored to the unique procurement dynamics, budget cycles, and regulatory considerations of investment management firms. Translate market intelligence into targeted account plans and campaigns. Identify and develop new use cases across wealth management workflows—investment research and analysis, portfolio construction and reporting, client communications, compliance documentation, and advisor/analyst enablement—collaborating cross-functionally to differentiate our offerings. Build consensus across complex stakeholder ecosystems including portfolio managers, Chief Investment Officers, Chief Technology Officers, compliance teams, and procurement. Serve as the voice of the customer internally, gathering feedback from users and conveying market needs to inform product roadmaps, security requirements, and go-to-market positioning. Contribute to the evolution of our financial services sales methodology by documenting learnings, refining playbooks, and identifying process improvements that drive productivity and consistency. You may be a good fit if you have 5+ years of enterprise B2B sales experience, with significant time selling into asset managers, hedge funds, private banks, wealth managers, or family offices A track record of closing complex, multi-stakeholder deals within investment management firms by navigating both technical requirements and business use cases Deep familiarity with how asset and wealth managers buy technology—including vendor due diligence, regulatory compliance reviews, and enterprise procurement processes Experience negotiating enterprise agreements within investment management procurement frameworks, including navigating legal, compliance, and infosec requirements Proven history of exceeding revenue targets by effectively managing pipeline and executing a disciplined sales process Strong communication skills and the ability to present confidently to audiences ranging from investment analysts to C-suite executives Understanding of asset and wealth management operations, investment priorities, and competitive dynamics in the sector A strategic, analytical mindset combined with creative tactical execution Genuine enthusiasm for AI and its potential to transform investment management, paired with appreciation for the importance of safe, responsible, and compliant deployment The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$290,000&mdash;$435,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Strategic Account Executive, Asset & Wealth Management

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role Claude is used by millions of people every day through our web, mobile, and desktop applications. As these products scale, so does the complexity of coordinating across engineering teams and cross-functional partners. We need an experienced Technical Program Manager to drive critical initiatives across our product engineering organization. You'll be instrumental in coordinating high-complexity cross-team efforts, driving launch readiness, and ensuring seamless execution across platform and product teams. This role is critical as our products grow in scale and complexity. Responsibilities: Lead cross-team engineering initiatives, coordinating between platform, product, and infrastructure teams to deliver high-quality releases Drive program execution for major product features, ensuring alignment across engineering, legal, policy, and other cross-functional partners Partner with engineering leadership to improve development velocity, manage dependencies, and remove blockers Build and maintain relationships across engineering teams to understand technical requirements, constraints, and tradeoffs Create comprehensive program documentation including roadmaps, status reports, risk assessments, and communication plans Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues Establish processes and frameworks for scaling product development and improving engineering excellence Drive launch readiness across teams, ensuring predictable and well-communicated releases You may be a good fit if you: Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs Have experience with web, mobile, or client application development and the ability to engage meaningfully with frontend and backend engineers Have experience coordinating across multiple engineering teams and cross-functional partners (legal, policy, etc.) simultaneously Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations Have excellent written and verbal communication skills, with the ability to influence without authority Have a track record of building trust with technical teams and driving change through influence Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to users safely and reliably Have experience with high-growth products serving large user bases (preferred but not required) Deadline to apply: None, applications will be received on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$290,000&mdash;$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical Program Manager, Claude Experiences

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As a Technical Program Manager for Product, you'll drive the programs that bring Anthropic’s AI capabilities to the world. You’ll work closely with research teams to understand new model capabilities, then orchestrate across engineering, product, infrastructure, and go-to-market teams to ensure we launch reliably and at pace. This role is essential in orchestrating the cross-functional effort required to launch successfully as Anthropic continues to scale. This role offers unique challenges in coordinating high-stakes technical programs while maintaining the quality and reliability our customers expect. This position requires deep technical fluency, the ability to earn trust with researchers and engineers, and a talent for driving alignment across teams with different priorities and working styles.&nbsp; Responsibilities: Lead end-to-end program management for model and product launches, coordinating between research, engineering, product, infrastructure, and partnership teams Drive cross-functional alignment and decision-making across workstreams, ensuring teams are unblocked and launches stay on track Partner closely with Research PMs and engineering leads to sequence work, manage dependencies, and navigate technical tradeoffs Track and communicate program status, risks, and dependencies to leadership and stakeholders Build strong relationships with technical stakeholders, earning trust through deep engagement with the details Coordinate with research teams to understand upcoming model capabilities and prepare launch plans accordingly Navigate tradeoffs between speed, quality, and scope, helping teams make informed decisions under pressure Develop and improve launch processes, playbooks, and operational frameworks that scale with our growing complexity Create and maintain documentation of launch processes, decision logs, and cross-functional dependencies You may be a good fit if you: Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs Possess deep technical knowledge that allows you to engage meaningfully with ML researchers and engineers Have experience managing programs with significant external dependencies and multiple stakeholder groups Excel at translating between technical teams and stakeholders, making complex tradeoffs understandable Can thrive in ambiguous situations, bringing structure to complex technical challenges Have strong organizational skills and can manage multiple parallel workstreams effectively Are comfortable operating at a fast pace where priorities shift and new challenges emerge quickly Have excellent written and verbal communication skills, with the ability to influence without authority Build trust quickly and maintain strong relationships even under pressure Are passionate about Anthropic's mission and interested in the challenges of bringing frontier AI capabilities to users safely Deadline to apply: None, applications will be received on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$290,000&mdash;$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical Program Manager, Launches

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are looking for a research-oriented engineer to develop the methods that make our safety evaluations representative, robust, and informative. You'll work on questions like: How do we measure whether a model is safe? How do we create evaluations that reflect real-world usage rather than synthetic benchmarks? How do we know our graders are accurate? This role sits at the intersection of applied ML research and engineering. You'll design experiments to improve how we evaluate model behavior, then ship those methods into pipelines that inform model training and deployment decisions. Your work will directly shape how Anthropic understands and improves the safety of our models across misuse, prompt injection, and user well-being. Responsibilities: Design and run experiments to improve evaluation quality—developing methods to generate representative test data, simulate realistic user behavior, and validate grading accuracy Research how different factors (multi-turn conversations, tools, long context, user diversity) impact model safety behavior Analyze evaluation coverage to identify gaps and inform where we need better measurement Productionize successful research into evaluation pipelines that run during model training, launch and beyond. Collaborate with Policy and Enforcement to translate real-world harm patterns into measurable evaluations Build tooling that enables policy experts to create and iterate on evaluations Surface findings to research and training teams to drive upstream model improvements You may be a good fit if you: Have 4+ years of software engineering or ML engineering experience Are proficient in Python and comfortable working across the stack Have experience building and maintaining data pipelines Are comfortable with data analysis and can draw insights from large datasets Have experience with LLMs and understand their capabilities and failure modes Can move fluidly between prototyping and production-quality code Are excited by ambiguous problems and can translate them into concrete experiments Care deeply about AI safety and want your work to have real impact Strong candidates may also have experience with: Red teaming, adversarial testing, or jailbreak research on AI systems Building or contributing to LLM evaluation frameworks or benchmarks Trust and safety, content moderation, or abuse detection systems Synthetic data generation or data augmentation Distributed systems or large-scale data processing Prompt engineering or LLM application development The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$320,000&mdash;$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Applied Safety Research Engineer, Safeguards

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.&nbsp; In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption &amp; seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.&nbsp; The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.&nbsp; As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs&nbsp; Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player (Bonus) Fluency in French, German,&nbsp; Spanish or Italian The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:£125,000&mdash;£165,000 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work&nbsp; Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$240,000&mdash;$270,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Solutions Architect, Digital Native

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As a member of the National Security Policy team at Anthropic, you will work directly with our most strategic national security customers and partners to drive transformational AI adoption. You will leverage your technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. In collaboration with the Sales, Product, Research, and Engineering teams, you’ll help national security partners develop strategies and implementation plans to integrate leading-edge AI systems into their mission. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You also will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. We expect our team members to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments.&nbsp; Core Responsibilities: Act as a primary technical advisor for senior government leaders and prospective National Security customers evaluating Claude. Demonstrate how Claude can support U.S. and democratic allies’ national security operations and address customer use cases through proofs of concept. Provide technical guidance on integration, deployment, and adoption best practices. Partner closely with the policy team and sales account executives to understand customer requirements. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption. Drive technical decision making by partnering on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure. Demonstrate solutions to technical roadblocks. Act as the voice of our customers and a key collaborator with our Product and Research teams to ensure we are delivering critical capabilities to the National Security community. Travel to customer sites for senior leader meetings, AI implementation, technical enablement, and building relationships. Establish a shared vision for creating solutions that enable beneficial and safe AI Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities. You may be a good fit if you have: Active TS/SCI security clearance (required) 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer within the National Security space Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include senior&nbsp; executives, engineering &amp; IT teams, and more Experience in the defense, technology, or cybersecurity industries Experience designing novel and innovative solutions for technical platforms in a developing mission area Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) Understanding of and experience with LLM fundamentals The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$295,000&mdash;$345,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Solutions Architect, National Security

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role The AIRE Serving team is responsible for elevating the reliability of Anthropic’s token path from client to inference servers and back.&nbsp; The team has wide latitude to drive improvements to our expanding SaaS and product surface, uplevel reliability mindsets across Anthropic, and partner with teams internally to build more robust and reliable systems.&nbsp; The breadth and depth of the technical challenges someone joining this team will encounter will be career defining and we are still writing the playbooks. We are at the center of ensuring our customers have a consistently excellent experience.y. Responsibilities Develop appropriate Service Level Objectives for large language model serving and training systems, balancing availability/latency with development velocity. Design and implement monitoring systems including availability, latency and other salient metrics. Assist in the design and implementation of high-availability language model serving infrastructure capable of handling the needs of millions of external customers and high-traffic internal workloads. Develop and manage automated failover and recovery systems for model serving deployments across multiple regions and cloud providers. Lead incident response for critical AI services, ensuring rapid recovery and systematic improvements from each incident Build and maintain cost optimization systems for large-scale AI infrastructure, focusing on accelerator (GPU/TPU/Trainium) utilization and efficiency You may be a good fit if you Have extensive experience with distributed systems observability and monitoring at scale Understand the unique challenges of operating AI infrastructure, including model serving, batch inference, and training pipelines Have proven experience implementing and maintaining SLO/SLA frameworks for business-critical services Are comfortable working with both traditional metrics (latency, availability) and AI-specific metrics (model performance, training convergence) Have experience with chaos engineering and systematic resilience testing Can effectively bridge the gap between ML engineers and infrastructure teams Have excellent communication skills. Strong candidates may also Have experience operating large-scale model training infrastructure or serving infrastructure (&gt;1000 GPUs) Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium, e.g.) Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks Understand ML model deployment strategies and their reliability implications Have contributed to open-source infrastructure or ML tooling The annual compensation range for this role is listed below.&nbsp; For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:£255,000&mdash;£325,000 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Senior Software Engineer, AI Reliability Engineering

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a member of the Compute Capacity Strategy &amp; Operations team, you will own initiatives that support Anthropic's compute capacity planning and allocation strategy. You will collaborate closely with our Finance &amp; Strategy, Product Management, and Engineering teams to optimize resource utilization and create a best-in-class customer experience for Anthropic’s users. Responsibilities: Execute and maintain capacity planning models, collaborating with data science and finance teams to ensure accurate forecasting Support new product launches and serve as the compute expert for all launches Serve as the key point of contact for product capacity strategy and planning&nbsp; Support the creation of regular capacity forecasts and quarterly planning processes Tackle ambiguous but critical strategic questions related to compute capacity with rigorous attention to detail, sound judgment, and clear delivery of actionable insights Gather and synthesize quantitative and qualitative data into clear, actionable recommendations that inform priorities and decision-making You might be a good fit if you: Have 12+ years of experience in product management, technical program management, business operations, strategy, or related roles in high-performing tech companies Approach every challenge with a user-focused mindset, intellectual curiosity, and unwavering commitment to Anthropic's mission of developing safe and beneficial AI Possess strong analytical skills, and a data-driven, commercially minded approach to solving problems Are able to convey complicated, technical, ambiguous topics in simple, jargon-less, persuasive, structured terms for direct teammates, cross-functional stakeholders, and leadership&nbsp; Are comfortable diving deep into technical details while maintaining a high-level view of program status Have strong communication skills and can effectively engage with both technical and non-technical stakeholders Possess strong project management and organizational skills to lead complex initiatives Are highly organized and can manage multiple parallel workstreams effectively The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$270,000&mdash;$290,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Compute Capacity Strategy & Operations

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role Join Anthropic's Customer Success team as our first APAC-based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Asia-Pacific &nbsp;helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.&nbsp; In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption &amp; seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.&nbsp; The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.&nbsp; As the founding CSM in APAC, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key APAC customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of APAC customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as the first in-region CS presence, developing where needed, APAC-specific processes, playbooks, and best practices that account for regional business cultures &nbsp; You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs&nbsp; Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player (Bonus) Fluency in Japanese, Mandarin, or Korean Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Customer Success Manager, APAC

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role You will own the physical security posture of all Anthropic-spec data centers. Not managing guards and cameras—architecting defense-in-depth systems that scale from ground break through production, across multiple facilities, against sophisticated and well-resourced adversaries.Our version controlled and AI assisted library act as one source of truth, driving consistent outputs and security that enables velocity rather than blocking it. Your job is to make it operational in steel, concrete, and sustained excellence. Responsibilities:&nbsp; Physical Security Program Ownership- Define and execute the end-to-end physical security roadmap for all Anthropic data centers globally.&nbsp; Design and Engineering-&nbsp; Ensure integrated physical security systems (access control, video surveillance, intrusion detection, perimeter security) that work across different types of facilities. Balance security requirements against operational efficiency and construction timelines. Internal Partnership - Collaborate with Infrastructure, Operations, and Facilities teams to embed security into the data center lifecycle, from construction gates to steady-state operations. Risk and Threat Modeling - Conduct risk assessments and threat modeling for greenfield and brownfield projects. Feed operational learnings back into the Controls framework.&nbsp; Compliance and Validation - Partner with Compliance and Legal to ensure physical security systems meet relevant standards,and customer requirements.&nbsp; Incident Response - Develop physical security incident response protocols with partners. When something happens, the team knows exactly what to do.&nbsp; Metrics and Accountability - Define KPIs that measure actual security posture, system effectiveness, vendor performance, incident metrics, coverage gaps.&nbsp; You may be a good fit if you: Have worked with construction teams to integrate security into the build process Can translate threat models into specific, measurable requirements Have managed security programs across multiple facilities and geographies simultaneously Know how to hold vendors accountable without destroying relationships Can communicate security requirements to engineers, executives, lawyers, and construction managers and get buy-in from all of them Are comfortable with ambiguity and can make decisions with incomplete information Are energized by building from the ground up Strong candidates may have: 10+ years designing, deploying, and managing physical security for high-value compute infrastructure (data centers, critical infrastructure, sensitive facilities) Hold relevant certifications (PSP, CPP, CISSP, CISM) Deadline to apply: None, applications will be received on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$365,000&mdash;$435,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Data Center Physical Security Lead

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are seeking a Strategic Finance team member focused on People &amp; Headcount Planning to join our Finance team at Anthropic. In this role, you will be a key partner to our People, Recruiting, and leadership teams, providing financial expertise and guidance to support workforce planning and compensation decisions. As we continue to grow rapidly, you will play a crucial role in building and maintaining our headcount models, analyzing workforce data, and delivering insights that inform hiring decisions and resource allocation. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align people strategies with broader financial considerations. If you are passionate about building world-class workforce planning capabilities at an innovative AI company, join us on the frontier of making AI safe and impactful. Responsibilities: Build, maintain, and enhance workforce planning models that forecast headcount, compensation costs, and organizational growth scenarios across the company Partner with People and Recruiting teams to align hiring plans with budget and long-range financial plans, providing analytical support for headcount allocation decisions Develop deep expertise in equity compensation mechanics and partner with the Compensation team to model the financial impact of equity programs, refresh grants, and new hire grants Prepare and deliver clear, concise, and insightful reports on workforce metrics, compensation trends, and headcount variance analysis to stakeholders and executives Collaborate with FP&amp;A, Accounting, and People teams to ensure accurate forecasting of people-related costs including salary, benefits, payroll taxes, and equity expense Support the annual planning and budgeting process for all people-related expenses, working closely with department leaders to understand hiring needs and timing Establish and implement reporting dashboards to track key workforce and compensation metrics You may be a good fit if you have: 5+ years of experience across strategic finance, FP&amp;A, compensation analytics, or investment banking, with meaningful exposure to workforce planning or people analytics Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial and headcount models Strong understanding of equity compensation structures including stock options, RSUs, and refresh programs Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Excitement about working in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Passion about Anthropic's mission to build safe, transformative AI systems Strong candidates may also: Experience with workforce planning tools such as Anaplan, Adaptive Planning, or similar platforms Background in total rewards, compensation or HR analytics Experience scaling people finance functions in high-growth, technology-driven organizations Proficiency in SQL and data visualization tools (e.g., Looker, Tableau) Knowledge of HR systems such as Workday, Greenhouse, or similar platforms The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$190,000&mdash;$235,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Finance and Strategy, People & Headcount Planning

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are looking for a Head of IT SOX to join our Internal Audit SOX team at Anthropic. In this role, you will lead the organization's IT SOX compliance program, with a primary focus on IT General Controls (ITGCs), application controls, and system/process risk assessments. You'll work cross-functionally with Engineering, Security, IT, DevOps, and Finance to ensure the organization meets SOX 404 compliance requirements in a rapidly scaling, technology-driven environment. This is a unique opportunity to build IT SOX controls at an AI-first company, leveraging cutting-edge AI technology to create innovative, automated, and scalable compliance solutions. You will help define how AI can transform traditional SOX processes—from continuous monitoring to intelligent risk assessment—while maintaining the rigor required for public company compliance. As the Head of IT SOX, you will own SOX IT planning, scoping, testing, remediation, and reporting activities. You'll work directly with technical partners to design and implement scalable controls, oversee documentation, and manage communication with external auditors. This role reports to the Head of Internal Audit and plays a critical part in strengthening internal control maturity as the company scales through pre-IPO readiness and longer term as a public company. Responsibilities: SOX IT Program Leadership Lead and manage the organization's end-to-end IT SOX compliance program Own SOX IT planning, scoping, testing, remediation, and reporting activities Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness Develop and maintain the SOX IT compliance roadmap aligned with organizational growth Pioneer the use of AI and automation technologies to enhance control effectiveness, continuous monitoring, and risk detection Drive IT controls rationalization initiatives to optimize the control environment and increase reliance on IT automated controls (ITACs) ITGC and Application Controls Design, implement, and monitor IT General Controls (ITGCs) across critical systems Evaluate and test application controls and IT automated controls (ITACs) to ensure proper functionality and compliance Conduct system and process risk assessments to identify control gaps and remediation needs Oversee control documentation and ensure audit-ready evidence is maintained Assess and monitor Systems Development Life Cycle (SDLC) controls for new system implementations and changes Cross-Functional Partnership Partner with Engineering, Security, IT, DevOps, and Finance teams to implement scalable controls Work directly with technical partners to design controls that align with business operations Collaborate with process owners to identify control improvements and automation opportunities Support SEC cybersecurity disclosure requirements and ongoing monitoring of cyber risks External Audit Management Serve as the primary point of contact for external auditors on IT SOX matters Manage audit requests, coordinate testing schedules, and facilitate audit walkthroughs Track and report on IT SOX compliance status to leadership, the Board, and Audit Committee You may be a good fit if you: Have 10+ years of hands-on IT audit and SOX compliance experience, preferably in both Big 4 and in-house internal audit/SOX leadership roles at a fast-paced technology company Have proven ability to establish or scale SOX IT compliance programs at newly public or pre-IPO companies Possess deep understanding of ITGCs, application controls, and risk assessments Have strong project management, analytical, and communication skills Hold a Bachelor's degree in Information Systems, Computer Science, Accounting, or a related field Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Strong candidates may also have: Experience with Workday, Salesforce, NetSuite, GitHub, or other enterprise business systems CISA, CIA, CPA, or similar certification Experience supporting rapid company growth and scaling compliance programs accordingly Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes Understanding of financial data security and compliance requirements Experience working at a high-growth AI or technology company Familiarity with auditing modern software development environments The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$300,000&mdash;$360,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Head of IT SOX

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Responsibilities: Design and implement evaluation methodologies for assessing AI model capabilities relevant to chemical weapons, explosives synthesis, and energetic materials Develop and execute strategies to identify and mitigate potential C/E misuse in model outputs Create C/E threat models, including precursor identification, synthesis routes, and weaponization techniques Review and analyze traffic to identify potential policy violations related to C/E content Collaborate with software engineers to develop and refine detection systems and automated enforcement tools for C/E threats Conduct rapid response to escalations involving dangerous C/E queries Collaborate across teams to establish safety benchmarks and develop appropriate model guardrails Translate C/E domain knowledge into actionable safety requirements Develop approaches to assess C/E model knowledge boundaries for dual-use chemical information Monitor emerging threats in the C/E landscape to inform policy development You may be a good fit if you: Have a Ph.D. in Chemistry, Chemical Engineering, or a related field with focus on energetic materials, explosives, and/or chemical weapons Have 5-8+ years of experience in chemical weapons and/or explosives defense, with deep expertise in energetic materials, chemical weapon agents, or related areas Have knowledge of high yield explosives application to radiological dispersal devices (dirty bombs) and related radiological weapons Have a track record of translating specialized technical knowledge into actionable safety policies or guidelines Are comfortable navigating ambiguity and developing solutions for novel safety challenges Can work independently while maintaining strong collaboration with cross-functional teams including engineering, enforcement, and research Thrive in a fast-paced environment where you balance rigorous scientific standards with rapid threat response Are passionate about preventing misuse of dangerous technical knowledge while enabling beneficial applications Strong candidates may have: Experience with both chemical weapons and high yield explosives defense Experience working with defense, intelligence, or nonproliferation organizations (e.g., OPCW, IAEA, national labs, defense contractors) Published research or practical experience in explosives characterization, chemical weapons detection, or related security applications Knowledge of international chemical weapons conventions (CWC) and controlled substances regulations Demonstrated ability to communicate complex technical concepts to non-specialist audiences Experience with chemical databases (PubChem, Reaxys, SciFinder) and computational chemistry tools Understanding of radiological materials and their interaction with explosive dispersal mechanisms Familiarity with dual-use C/E research concerns and responsible disclosure practices This role offers a unique opportunity to shape how AI systems handle sensitive chemical and explosives information. You'll work with leading AI safety researchers while tackling critical problems in preventing catastrophic misuse. If you're excited about using your expertise to ensure AI systems remain safe and beneficial, we want to hear from you.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$245,000&mdash;$285,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Policy Manager, Chemical Weapons and High Yield Explosives

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We're looking for a Recruiting Systems Analyst to build the integrations and automations that power our recruiting function at scale. You'll work at the intersection of recruiting operations, AI application, and systems engineering—building API integrations, automating workflows across the candidate lifecycle, and ensuring data flows correctly between systems. We're looking for someone who can see a manual process, understand the recruiting context behind it, and ship a working solution. The ideal candidate has experience working within the recruiting or people function and picked up technical skills along the way—or has deep integration experience and genuine curiosity about how talent acquisition actually works. Either way, you understand that the best automation respects the human moments in recruiting while eliminating the tedious ones. What You'll Do Build and maintain integrations between recruiting tools (Greenhouse, Gem,&nbsp;ModernLoop, BrightHire) using APIs, webhooks, and automation platforms like Tines Automate manual workflows across the candidate lifecycle—from sourcing to offer to&nbsp;onboarding handoffs Partner with Recruiting Operations to identify high-impact automation opportunities and&nbsp;translate them into technical solutions Own the full lifecycle from discovery through deployment: scoping requirements with&nbsp;recruiting users, building prototypes, gathering feedback, and iterating to production Troubleshoot and resolve integration issues, ensuring data flows correctly between&nbsp;systems Create documentation and lightweight enablement resources so the team can maintain&nbsp;and extend your work Collaborate with internal engineering departments on shared infrastructure while owning&nbsp;the "middle layer" of recruiting-specific automations You May Be a Good Fit If You: Have 5+ years of experience in recruiting operations, talent systems, HR technology, or&nbsp;a similar function—you understand recruiting workflows and why they exist Have hands-on experience building automations and integrations using platforms like&nbsp;Tines, Workato, Zapier, or similar tools Are comfortable working with APIs, webhooks—you can read API documentation and&nbsp;build working integrations independently Have used scripting languages (Python, JavaScript) to solve problems, even if you're not&nbsp;a software engineer by training Excel at translating business problems into technical solutions—you ask the right&nbsp;questions to understand what recruiters actually need Have a track record of building trust with non-technical stakeholders and shipping&nbsp;products they actually use Are willing to do the unglamorous work: sometimes the right solution is a well-built spreadsheet, sometimes it's a complex multi-system integration Are excited about AI's potential to transform knowledge work and care about building&nbsp;systems that are safe and beneficial Strong Candidates May Also Have: Experience with LLMs, prompt engineering, and AI application development Experience administering Greenhouse at a configuration and API level Familiarity with Workday integrations and HRIS data flows Experience with data analysis, reporting tools, or building dashboards Understanding of compliance considerations in recruiting (EEOC, GDPR, etc.) Our Current Tech Stack Greenhouse (ATS) Gem (sourcing &amp; CRM) ModernLoop (scheduling) BrightHire (interview intelligence) Tines (automation) Workday (HRIS) JIRA (ticketing) Outline (documentation) Google Workspace Slack The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$170,000&mdash;$220,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Recruiting Systems Analyst

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We're building the infrastructure that enables Claude to act in the world—booking travel, writing code, calling APIs, managing files, and completing multi-step tasks autonomously. This is foundational work for the next generation of AI capabilities. The Agent Infrastructure team designs and operates the execution environments, state management systems, and security boundaries that make autonomous AI agents safe and reliable. You'll work at the intersection of distributed systems, security engineering, and product—building systems that don't exist anywhere else in industry. This is a high-priority initiative. The problems are hard, the scope is greenfield, and the impact is immediate. What You'll Do Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services Build state management systems for long-running agent tasks—handling checkpoints, recovery, and resumption across failures Develop authentication and authorization frameworks for delegated access—enabling Claude to act on behalf of users securely Create observability and debugging tools for agent execution—understanding what Claude did, why, and how to make it better Partner closely with product and research teams to define what's possible and ship it You May Be a Good Fit If You Have 6+ years of experience building distributed systems, infrastructure, or platform services at the hyper scale Comfortable building Cloud Native infrastructure on GCP, AWS, or Azure Care deeply about security, isolation, and building systems that fail safely Have experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) Are comfortable with ambiguity—this is greenfield work, and you'll help define the architecture Write clean, maintainable code in Python, Go, Rust, or similar Want to work on problems that don't have existing playbooks Strong Candidates May Have Experience building multi-tenant execution platforms or serverless infrastructure Background in security engineering, sandboxing, or isolation technologies Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) Experience with state machines, checkpointing, or durable execution patterns Low-level systems experience (Linux internals, eBPF, container runtimes) The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$320,000&mdash;$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Senior / Staff Software Engineer - Autonomous Agent Infrastructure

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.&nbsp; About the Role We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviors and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors. In this role, you will: Design and execute capability evaluations ("evals") to assess the capabilities of new models Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers Analyze safety system performance in traffic, identifying gaps and proposing improvements Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these You may be a good fit if you have A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience&nbsp; Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred) Deep expertise in modern biology, including both "reading" (e.g. high-throughput measurement, functional assays) and "writing" (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines) Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve Preferred Qualifications Background in AI/ML systems, particularly experience with large language models Experience in developing ML for biological systems Extensive experience in complex projects with multiple stakeholders The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$300,000&mdash;$320,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Biological Safety Research Scientist

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Engineering Manager to lead the Cloud Inference team for Azure. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using Azure. You will build a team from the ground up to own the end-to-end product of Claude on Azure, including API, load balancing, inference, capacity and operations. Your team will ensure our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe. Your work will increase the scale at which Anthropic operates and accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms. Responsibilities: Set technical strategy and oversee development of Claude on Azure across all layers of the technical stack Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice You may be a good fit if you: Have 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management Have 5+ years of engineering management experience Experience recruiting, scaling, and retaining engineering talent in a high growth environment Have experience scaling products, resources and operations to accommodate rapid growth Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales Have experience working with external partners to align goals and deliver impact Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space Have excellent written and verbal communication skills Demonstrated success building a culture of belonging and engineering excellence Are motivated by developing AI responsibly and safely Are willing and able to travel frequently between Seattle and the SF Bay Area Strong candidates may also have experience with: Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL Experience as a Product Manager Experience with deployment and capacity management automation Security and privacy best practice expertise The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$405,000&mdash;$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Engineering Manager, Cloud Inference Azure

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an External Policy &amp; Partnerships Manager on the Safeguards Outreach &amp; Partnerships team, you will own how Anthropic communicates its safety policies to the outside world and how we work with external partners to strengthen our approach. This includes maintaining and evolving our Usage Policy and other external-facing policy documents, supporting enterprise customer relationships alongside our Sales/Go-to-Market and Legal teams, driving transparency efforts like model cards and public reporting, and building external partnerships that inform our policy development and safety practices. You'll serve as a bridge between internal policy development and external stakeholders—translating nuanced safety decisions into clear, consistent language for users, customers, and regulators. Commercial teams will see you as a key partner navigating customer questions about our policies, detection systems, and enforcement practices. You'll manage expert relationships that inform our policies and interventions, coordinate research partnerships that establish best practices in AI safety, and oversee vendor relationships that power key safety features. This is a role for someone who can operate across legal, policy, partnership, and commercial contexts while maintaining a clear through-line on Anthropic's safety commitments. *Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. Responsibilities: External Policy&nbsp; Own and coordinate updates to external policy documents, including the Usage Policy, Supported Regions Policy, and Safeguards-related elements of our Terms of Service Coordinate cross-functional review processes for policy updates and external content, working across Legal, Policy, Communications, and Product teams Be the first point of contact for policy interpretation and application questions, working with subject matter experts as needed Work with internal policy SMEs to translate complex policies and decisions into clear external-facing language&nbsp; Drive Safeguards contributions to external reporting efforts, including model cards, transparency reports, and Help Center content Meet regulatory obligations around transparency and reporting, including for the EU AI Act and other emerging requirements Work with Policy teams to track regulatory developments that may impact external policy language and reporting requirements Collaborate with Engineering and Enforcement teams to translate policy into workflows or automated processes Customer &amp; Commercial Relationships Partner with Sales/Go-to-Market and Legal teams to support enterprise customer relationships, including liaising with customers on Safeguards policies and procedures Support customer negotiations involving Safeguards-related terms, consulting with policy owners to ensure consistency Develop scalable resources (FAQs, one-pagers, decision trees) to support recurring policy questions from cross-functional teams External Partnerships Build and maintain expert relationships across civil society, academia, and government that inform policy development and evaluation frameworks Coordinate research partnerships and expert consultations across Safeguards topic areas Manage vendor relationships for safety tools and interventions, including contract negotiation and ongoing coordination You may be a good fit if you have: 6+ years in policy, compliance, or trust &amp; safety roles, ideally at a technology company A track record of drafting or maintaining external-facing policy documents (e.g., acceptable use policies, terms of service, community guidelines) Experience supporting commercial or legal teams on policy-related customer questions Track record of building relationships with civil society organizations, academic institutions, or government bodies Strong writing skills with the ability to translate technical or nuanced concepts into clear, accessible language Background working cross-functionally across legal, policy, product, engineering, and communications teams Vendor management experience, including contract negotiation and ongoing coordination Familiarity with AI safety, user trust, or platform policy issues Comfort with ambiguity and the ability to make judgment calls on novel policy questions History of contributing to transparency or public reporting efforts (model cards, transparency reports, regulatory filings) The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$245,000&mdash;$285,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

External Policy & Partnerships Manager, Safeguards

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role Anthropic is seeking an experienced Tax Technology Lead to build and optimize our global tax technology infrastructure as we scale our AI services globally. This role will be critical in implementing and managing tax engine systems while bridging the gap between tax compliance requirements and engineering capabilities. You'll own the technology strategy for indirect tax (sales and use tax, VAT, and GST) compliance across our rapidly growing digital product portfolio, with the long-term scope expanding to include income tax compliance and direct tax provision software implementation. Responsibilities: Tax Systems Implementation &amp; Management Act as the Tax Point of Contact for business teams, handling and responding to day-to-day tax queries with a solutions-oriented mindset. Enhance the implementation of tax determination engine integrated with our billing and finance systems Configure tax engines across multiple finance modules, ensuring accurate tax calculation, reporting, and compliance for SaaS and digital products Design and document technical requirements for tax functionality, including system architecture, data flows, and integration points Lead future implementation of income tax compliance and direct tax provision software (e.g., OneSource Tax Provision, CorpTax, or similar) Own the tax technology roadmap, identifying opportunities for automation and process improvement Cross-Functional Collaboration Partner with Engineering, Finance, Accounting, and Product teams to translate complex tax requirements into technical specifications Serve as the primary liaison between Tax and Technology teams, ensuring alignment on tax compliance needs Coordinate with Finance Systems team to create tax product requirements, manage testing protocols, and support change management initiatives Work with external tax advisors and software vendors to evaluate solutions and resolve technical challenges Global Tax Compliance (Indirect &amp; Direct) Develop and maintain tax determination logic for US sales and use tax&nbsp; Configure and manage VAT/GST rules for international jurisdictions including EU, APAC, and emerging markets Design testing strategies to ensure accuracy and quality of tax calculations across all transaction types Monitor nexus thresholds and implement automated compliance workflows Support long-term roadmap for income tax compliance automation and ASC 740 tax provision software Collaborate with income tax team to understand data requirements for provision calculations and compliance reporting Support long-term roadmap for income tax compliance automation and ASC 740 tax provision software Data Management &amp; Reporting Build data analytics capabilities to support tax compliance, reconciliation, audit defense, and strategic decision-making Create comprehensive documentation including technical design specs, process flows, and operational procedures Implement SOX controls related to tax technology systems Generate reports for tax filings, reconciliations, and management review Ability to incorporate Claude (AI ) into tax automation needs&nbsp; You may be a good fit if you: 7+ years of experience in tax technology, with at least 3-5 years focused on tax engine implementations (Vertex, Anorak, Avalara, or similar) Deep expertise in US sales and use tax and global VAT/GST compliance for digital services and SaaS businesses Proven track record of successful tax system implementations in ERP environments (Workday Financials, or similar) Strong technical aptitude with ability to work directly with engineering teams on system configurations and integrations Experience gathering business requirements and translating them into functional and technical specifications Knowledge of tax compliance processes including determination, reporting, filing, and remittance Bachelor's degree in Accounting, Finance, Information Technology, Computer Science, or related field Strong candidates may also have: CPA, CMI (Certified Manager of Indirect Tax), or equivalent tax certification Experience with data analytics tools (SQL, Python, Alteryx, Hex, Looker) and tax software including provision tools Background working in high-growth tech companies or Big 4 tax technology consulting Familiarity with multi-entity billing structures and complex revenue recognition scenarios Understanding of AI/ML business models and their indirect tax implications Familiarity with corporate income tax compliance processes, ASC 740 requirements, and tax provision software Experience with exemption certificate management and audit defense Knowledge of e-invoicing and digital reporting requirements in various jurisdictions Technical Skills: Indirect tax engines Direct tax provision software ERP systems: Workday Financials Data analysis: Excel (advanced), SQL, Python (preferred) Project management and documentation tools (Asana) Understanding of API integrations and data flows &nbsp;The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$205,000&mdash;$265,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Finance Systems, Tax Technology

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About The Role As a member of the product public policy team, you will build Anthropic's healthcare and life sciences policy strategy from the ground up. This role will translate emerging regulations into product opportunities, turn our technical advantages into competitive differentiation, and shape regulatory frameworks to support our mission and enable responsible health AI development and deployment. The role will also engage deeply with our product, GTM, and other cross functional teams. In this role you will: Build/maintain relationships with key US health agencies (FDA, CMS, HHS) and international counterparts Shape Anthropic’s positions on key health policy issues impacting product (e.g., software regulation, reimbursement, explainability) Translate emerging health AI policies and frameworks into specific product opportunities, focusing on ethical and responsible use of AI for health Work closely with product teams to support responsible product development, bringing policy considerations directly into product decisions/pipeline Monitor global regulatory developments and drive policy consultation responses Work with product, go-to-market and cross functional teams to position Anthropic product choices as industry standard You may be a good fit if you: 8-12 years healthcare and/or life science regulatory policy (government and industry) Strong relationships with key health regulatory stakeholders (e.g., FDA, CMS, ONC) Track record tangibly shaping health policy/regulatory frameworks Experience working with health tech product teams (development, deployment) Excellent communicator with strong ability to translate technical AI concepts to regulators and regulatory requirements to product teams Ability to navigate fast-paced, hypergrowth company with autonomy and initiative Technical fluency in LLMs, health technology, and product development The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$295,000&mdash;$345,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Health and Life Science Policy Lead

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with cross functional stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including, product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities. IMPORTANT CONTEXT ON THIS ROLE: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.&nbsp; Responsibilities: Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality Conduct comprehensive product safety reviews, covering technical and non technical harms, to inform product launch and safety mitigation strategies&nbsp; Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities Leverage SME risk assessments to inform overall product safety recommendations Design and run bespoke evaluations for products that require tailored assessment Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment Work with the Safeguards enforcement team to develop clear guidelines for implementing new policies related to product features Lead agentic product policy development, incorporating internal and external feedback Stay current on industry trends and emerging risks in AI development to proactively address potential issues Contribute to regular reports on product policy risks and mitigations for senior leadership You might thrive in this role if you: Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders Understand safety policies and safety considerations associated with a wide range of product surfaces&nbsp; Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process Have conducted risk evaluations of novel products in fast moving organizations&nbsp; Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development Have familiarity with AI ethics, responsible AI principles, and current debates surrounding AI safety and governance Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks Have shown strong project management skills with the ability to drive policy development processes from ideation to implementation The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$245,000&mdash;$285,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Product Policy Manager, Frontier Risk

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: We are seeking a Revenue Systems Solution Architect to join our Finance team at Anthropic. In this role, you will own the design, implementation, and optimization of our revenue recognition and billing systems infrastructure. As we continue to scale our consumption-based business model, you will be instrumental in building the systems foundation that enables accurate revenue recognition, streamlined quote-to-cash processes, and efficient month-end close. This is a hands-on role where you'll architect solutions, configure systems, and solve complex technical challenges directly. You'll work at the intersection of Finance, Accounting, and Sales Operations, ensuring our revenue systems accurately reflect the complexities of ASC 606 compliance while supporting Anthropic's growth trajectory. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI. Responsibilities: Own the architecture, implementation, and administration of revenue recognition systems (such as Zuora Revenue, Salesforce Revenue Cloud, or similar platforms), ensuring ASC 606 compliance for consumption-based business models Design and maintain CPQ (Configure-Price-Quote) systems architecture, including Salesforce CPQ, Nue.io, or equivalent platforms, ensuring seamless integration with downstream billing and revenue systems Lead month-end close processes related to revenue recognition, identifying and resolving reconciliation issues, automation opportunities, and process bottlenecks Architect integrations between CPQ, billing, revenue recognition, and ERP systems to create a cohesive quote-to-cash technology stack Develop and maintain technical documentation, data flow diagrams, and system configuration guides Partner with Accounting, FP&amp;A, and Sales Operations teams to translate business requirements into scalable technical solutions Troubleshoot complex revenue recognition scenarios, particularly those unique to consumption and usage-based pricing models Drive continuous improvement of revenue systems, identifying opportunities for automation and enhanced accuracy Support audit readiness by maintaining clear system controls, documentation, and data integrity You may be a good fit if you: Have 7+ years of experience implementing and administering revenue recognition systems such as Zuora Revenue, Salesforce Revenue Cloud, RevPro, or similar platforms Have deep expertise in ASC 606 revenue recognition standards, particularly as applied to consumption-based and usage-based business models Have hands-on experience with CPQ platforms (Salesforce CPQ, Nue.io, DealHub, or similar) and their integration with billing and revenue systems Have a track record of solving complex month-end close issues and optimizing revenue accounting processes Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors Possess strong understanding of quote-to-cash processes and the technical architecture that supports them Can communicate complex technical concepts clearly to both technical and non-technical stakeholders Thrive in unstructured environments and are energized by building processes and systems from the ground up Strong candidates may also: Have experience with NetSuite, Stripe, or Metronome integrations Have worked at high-growth technology companies with complex, evolving revenue models Have SQL proficiency for data analysis, reconciliation, and troubleshooting Have experience supporting external audits related to revenue recognition Bring a background in Accounting or Finance, combined with systems expertise Have familiarity with data warehouse integrations for revenue reporting and analytics Deadline to apply: None. Applications will be reviewed on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$205,000&mdash;$265,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Revenue Systems Solution Architect

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropic's security program from auditors, customers and partners.&nbsp; This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities. Responsibilities:&nbsp; Understand how Anthropic's security and privacy capabilities across major cloud platforms implement common frameworks (e.g., NIST 800-53, NIST 800-171, ISO 27001, ISO 27701, CSA CCM, and SOC 2). Build scalable data center and cloud compliance processes and documentation systems that will support future expansion to additional geographies and compliance frameworks. Assess and mitigate security and operational risks, implementing corrective actions, and managing vendor compliance. Coordinate engagements with independent assessors to earn security and privacy certifications and attestations important to Anthropic customers and enterprise partnerships, and to meet regulatory obligations. Write, update and enact policies capturing security, privacy, and AI safety requirements. Maintain and enhance Anthropic's system of security controls through audit readiness, recordkeeping, and cross-functional communication. You may be a good fit if you: Have 8+ years of progressive experience in audit and compliance roles, with direct ownership of certification/attestation projects Have worked in cloud-native environments and understand security and privacy considerations for multi-cloud architectures Can translate complex compliance requirements into actionable workstreams for technical and non-technical stakeholders Have built common controls frameworks or GRC systems that scaled with organizational growth Write clear and useful security and privacy documentation for both external and internal audiences. Thrive in ambiguous, fast-paced environments where you'll need to build processes from scratch Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization Are energized by being the subject matter expert who educates the organization on new compliance requirements Strong candidates may also:&nbsp; Have worked in AI/ML companies and understand unique security considerations for model development and deployment Have worked with cloud companies and understand cloud security controls and physical security requirements Bring experience from high-growth technology companies managing rapid compliance expansion Have some experience implementing automated enforcement of security controls (i.e., compliance as code) Possess relevant certifications (CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Auditor/Implementer) Candidates need not have:&nbsp; Done everything on this list before—we value learning agility and willingness to tackle novel compliance challenges in the AI space Deadline to Apply:&nbsp;None, applications will be received on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$270,000&mdash;$345,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Security Risk & Compliance, Cloud & Data Centers

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes You may be a good fit if you Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with threat actor profiling and utilizing threat intelligence frameworks Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership Strong candidates may also have Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information Background in AI safety, machine learning security, or technology abuse investigation Familiarity with synthetic biology, biotechnology, or dual-use research Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$230,000&mdash;$290,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical CBRN-E  Threat Investigator

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations.&nbsp; You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&amp;CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$230,000&mdash;$290,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical Cyber Threat Investigator

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role: We are looking for a cybersecurity expert to lead our efforts to prevent AI misuse in the cyber domain. As a Cyber Harms Technical Policy Manager, you will lead a team applying deep technical expertise to inform the design of safety systems that detect harmful cyber behaviors and prevent misuse by sophisticated threat actors. Working closely with Research Engineers who build these safety systems, you and your team will provide the critical cybersecurity domain knowledge needed to ensure our safeguards are effective against real-world threats. You will be at the forefront of defining what responsible AI safety looks like in the cybersecurity domain, working across research, policy, and engineering to translate complex cyber threat concepts into concrete technical safeguards and actionable policies. This is a unique opportunity to shape how frontier AI models handle dual-use cybersecurity knowledge—balancing the tremendous potential of AI to advance legitimate security research and defensive capabilities while preventing misuse by malicious actors. In this role, you will: Lead and grow a team of technical specialists focused on cyber threat modeling and evaluation frameworks Design and oversee execution of capability evaluations ("evals") to assess the cyber-relevant capabilities of new models Create comprehensive cyber threat models, including attack vectors, exploit chains, precursor identification, and weaponization techniques Develop and iterate on usage policies that govern responsible use of our models for emerging capabilities and use cases related to cyber harms Serve as the primary domain expert on cyber harms, advising cross-functional teams on threat landscapes and mitigation strategies Collaborate closely with internal and external threat modeling experts to develop training data for safety systems, and with ML engineers to train these systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate security researchers Analyze safety system performance in traffic, identifying gaps and proposing improvements Conduct regular reviews of existing policies and enforcement systems to identify and address gaps and ambiguities related to cybersecurity risks Develop rigorous stress-testing of safeguards against evolving cyber threats and product surfaces Partner with Research, Product, Policy, Security Team, and Frontier Red Team to ensure cybersecurity safety is embedded throughout the model development lifecycle Translate cybersecurity domain knowledge into actionable safety requirements and clearly articulated policies Contribute to external communications, including model cards, blog posts, and policy documents related to cybersecurity safety Monitor emerging technologies and threat landscapes for their potential to contribute to new risks and mitigation strategies, and strategically address these Mentor and develop team members, fostering a culture of technical excellence and responsible AI development You may be a good fit if you have: An M.S. or PhD in Computer Science, Cybersecurity, or a related technical field, OR equivalent professional experience in offensive or defensive cybersecurity 5+ years of hands-on experience in cybersecurity, with deep expertise in areas such as vulnerability research, exploit development, network security, malware analysis, or penetration testing 2+ years of experience managing technical teams or leading complex technical projects with multiple stakeholders Experience in scientific computing and data analysis, with proficiency in programming (Python preferred) Deep expertise in modern cybersecurity, including both offensive techniques (vulnerability research, exploit development, penetration testing, malware analysis) and defensive measures (detection, monitoring, incident response) Demonstrated ability to create threat models and translate technical cyber risks into policy frameworks Familiarity with responsible disclosure practices, vulnerability coordination, and cybersecurity frameworks (e.g., MITRE ATT&amp;CK, NIST Cybersecurity Framework, CWE/CVE systems) Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders Experience developing policies or guidelines at scale, balancing safety concerns with enabling legitimate use cases A passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve Track record of translating specialized technical knowledge into actionable safety policies or enforcement guidelines Preferred Qualifications: Background in AI/ML systems, particularly experience with large language models Experience developing ML-based security systems or adversarial ML research Experience working with defense, intelligence, or security organizations (e.g., NSA, CISA, national labs, security contractors) Published security research, disclosed vulnerabilities, or participated in bug bounty programs Understanding of Trust &amp; Safety operations and content moderation at scale Certifications such as OSCP, OSCE, GXPN, or equivalent demonstrating technical depth Understanding of dual-use security research concerns and ethical considerations in AI safety The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$320,000&mdash;$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical Policy Manager, Cyber Harms

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As a Staff Technical Program Manager for Security – Detection &amp; Response, you will define and execute company critical security programs that protect Anthropic's most sensitive assets, people, and infrastructure. You will lead strategic initiatives spanning insider risk, security observability, threat detection, and incident response programs that are essential to Anthropic's ability to meet its Responsible Scaling Policy (RSP) commitments and maintain the trust of our stakeholders. This is a senior level TPM role requiring executive presence, strategic vision, and the ability to drive transformational programs across Security Engineering, Infrastructure, Research, and cross-functional partners. You will be responsible for building the programmatic foundations of Anthropic's detection and response capabilities while mentoring senior TPMs and shaping the future of security program management at the company. This role sits within the Security TPM team, aligned to the Detection &amp; Response security organization, and reports to the Security TPM Lead. Responsibilities: Own the strategic portfolio for Detection &amp; Response programs: Define and drive the strategy, roadmap, and execution of insider risk, observability, and threat detection initiatives that are critical to company security posture and RSP compliance Lead company wide security programs with executive impact: Manage programs that span multiple organizations, require significant change management, and directly affect Anthropic's ability to detect, investigate, and respond to security threats Build and scale detection and response program infrastructure: Develop program charters, governance frameworks, success metrics, and communication strategies for nascent and evolving security domains Partner with Security Engineering to drive technical program strategy for security observability: Define requirements and coordinate implementation of security telemetry, logging, and monitoring capabilities across Anthropic's infrastructure Lead insider risk program execution: Develop and manage programs that address insider threat detection, investigation workflows, and prevention controls while balancing privacy, legal, and operational considerations Collaborate with senior leadership and executives:&nbsp; Communicate program vision, risks, and progress with executive presence; influence strategic priorities and secure alignment across Security, Infrastructure, Legal, and Research leadership Mentor and develop senior TPMs: Provide strategic guidance and coaching to TPMs across the Security team, building a culture of excellence and developing future leaders Coordinate incident investigation and response efforts: Lead cross-functional coordination during security incidents, ensuring effective communication, stakeholder alignment, and post-incident improvements Partner on AI-driven security innovation: Collaborate with teams exploring agentic AI applications in security workflows, helping translate emerging capabilities into executable programs You May Be a Good Fit If You Have: 15+ years of experience in the cybersecurity field, with at least 5+ years leading large-scale Security Engineering programs, encompassing a broad understanding of cyber threats, defense mechanisms, and the cybersecurity landscape Technical expertise in detection and response technologies including Splunk, Detection Engineering, Detection as Code, Infrastructure as Code, and Security Operations Technical background in cybersecurity methodologies with focus on threat intelligence, detection, response, and prevention Familiarity working on detection capabilities for AI Lab organizations Proven experience as a Technical Program Manager or similar role in a cybersecurity or technology-focused environment, with a track record of leading complex, company-wide programs to successful completion Executive communication skills with demonstrated ability to influence decisions at the senior leadership and C-suite level Experience leading incident investigation efforts and effectively coordinating communications across technical and non-technical stakeholders Ability to manage highly ambiguous problems and navigate challenges to achieve program objectives in a fast-paced, evolving environment Strong collaboration skills with proven ability to partner across diverse technical stakeholders including Security Engineering, Infrastructure, Legal, HR, and Research teams Strong Candidates May Also Have: Experience building insider risk or insider threat programs from the ground up Background in security operations center (SOC) leadership or detection engineering management Experience with security programs in AI/ML research environments Familiarity with compliance frameworks (SOC 2, ISO 27001, FedRAMP) and their intersection with detection and response capabilities Prior technical experience as a security engineer, detection engineer, or incident responder Experience with security aspects of cloud infrastructure and distributed systems Deadline to Apply: None, applications will be received on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$365,000&mdash;$435,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical Program Manager, Security - Detection & Response

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We are looking for a Technical Scaled Abuse Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting large-scale misuse of Anthropic's AI systems, including model distillation, account abuse, fraud, scams, and other forms of scaled exploitation. You will combine open-source research with analysis of internal data to understand how sophisticated adversaries gain access to Anthropic systems and conduct abuse at scale. Your work will directly inform our defenses against threat actors who seek to exploit our products for financial gain, competitive advantage, or to cause widespread harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate large-scale abuse patterns including model distillation, unauthorized API access, account farming, fraud schemes, and scam operations Develop abuse signals and tracking strategies to proactively identify scaled adversarial activity and coordinated abuse networks Conduct technical investigations using SQL, Python, and data science methodologies to analyze large datasets and uncover sophisticated abuse patterns Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting AI systems at scale Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm Study trends internally and in the broader ecosystem to anticipate how AI systems could be exploited, generating and publishing reports Build and maintain relationships with external threat intelligence partners and information sharing communities Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices Forecast how abuse actors will leverage advances in AI technology and inform safety-by-design strategies You may be a good fit if you Have strong proficiency in SQL and Python with a data science background Have experience with large language models and understanding of how AI technology could be exploited at scale Have subject matter expertise in abusive user behavior detection, fraud patterns, account abuse, or platform integrity Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience at a major technology platform working on trust and safety, fraud, or abuse investigations Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Experience with financial crime investigation or fraud analytics Fluency in Mandarin Chinese and/or Russian (speaking, reading, and writing) combined with a nuanced understanding of the geopolitical landscape and cultural context of the respective regions. Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$230,000&mdash;$290,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Technical Scaled Abuse Threat Investigator

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h1 class="heading"><strong>Recruiter, G&amp;A or GTM</strong></h1>
<p>London, UK or Dublin, Ireland | Full-time</p>
<h2 class="heading"><strong>About the role</strong></h2>
<p>Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team—based in London or Dublin—to own full-cycle recruiting for either our G&amp;A functions (Finance, Legal, People, and related areas) or our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background.</p>
<p>This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run.</p>
<p>We’re open to candidates whose strength is in G&amp;A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest.</p>
<h2 class="heading"><strong>Key responsibilities</strong></h2>
<ul>
<li>
<p>Own full-cycle recruiting for a portfolio of G&amp;A or GTM roles across EMEA—from intake through offer and close</p>
</li>
<li>
<p>Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies</p>
</li>
<li>
<p>Source and engage high-quality active and passive candidates, building diverse and competitive pipelines</p>
</li>
<li>
<p>Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar</p>
</li>
<li>
<p>Manage candidates through the process with clear communication and a great experience at every stage</p>
</li>
<li>
<p>Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close</p>
</li>
<li>
<p>Use data to track pipeline health and share insight that helps hiring managers make good decisions</p>
</li>
</ul>
<h2 class="heading"><strong>Minimum qualifications</strong></h2>
<ul>
<li>Track record of closing strong candidates in competitive markets</li>
<li>
<p>Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries</p>
</li>
<li>
<p>Strong stakeholder management—you build trust and partnership with hiring managers</p>
</li>
<li>
<p>Excellent organization and the ability to manage multiple searches at once without dropping details</p>
</li>
<li>
<p>Clear, direct communication style and a bias toward action</p>
</li>
<li>
<p>Comfort operating with ambiguity in a fast-moving environment</p>
</li>
<li>
<p>Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it</p>
</li>
</ul>
<h2 class="heading"><strong>Preferred qualifications</strong></h2>
<ul>
<li>
<p>4+ years of full-cycle recruiting experience in either G&amp;A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring</p>
</li>
<li>
<p>Experience recruiting at a high-growth technology, AI, or machine learning company</p>
</li>
<li>
<p>Experience recruiting across both G&amp;A and GTM functions</p>
</li>
<li>
<p>Experience hiring across multiple EMEA markets, including the UK and Ireland</p>
</li>
<li>
<p>Familiarity with Greenhouse or similar ATS platforms</p>
</li>
<li>
<p>Additional European language skills relevant to hiring across the region</p>
</li>
</ul>
<h2 class="heading"><strong>Compensation &amp; Benefits</strong></h2>
<p>Anthropic’s total compensation package for this role includes a competitive salary, equity, and a comprehensive benefits package. Benefits are tailored to the country of employment and typically include health coverage, generous parental leave, flexible time off, and retirement provisions in line with local norms. Specific details will be shared during the interview process.</p>
<p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>£105,000</span><span class="divider">&mdash;</span><span>£145,000 GBP</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Recruiter, G&A or GTM

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="heading"><strong>About the Role</strong></h2>
<p>As Anthropic grows in the Asia-Pacific region, we need to build out the teams that keep the company running and trustworthy—Finance, Legal, and People. We’re looking for a Senior G&amp;A Recruiter, based in Singapore, to own full-cycle recruiting for these functions across the region.</p>
<p>This is a senior individual-contributor role for someone who is best-in-class at G&amp;A recruiting and can operate with little oversight. You’ll partner directly with senior leaders in Finance, Legal, and People to translate ambiguous needs into clear search strategies, run rigorous and humane processes, and close exceptional candidates in a competitive market. You’ll also help establish recruiting foundations in a relatively new region—calibrating bars, building pipelines, and shaping how we hire G&amp;A talent in APAC.</p>
<p>The ideal candidate brings deep expertise across at least two of Finance, Legal, and People recruiting, sound judgment on senior and specialized hires, and the ability to build trust with stakeholders before pushing them. Your work will directly strengthen the operational and governance backbone Anthropic needs to pursue its mission responsibly.</p>
<h2 class="heading"><strong>Key responsibilities</strong></h2>
<ul>
<li>
<p>Own full-cycle recruiting for Finance, Legal, and People roles across the APAC region—from intake through offer and close</p>
</li>
<li>
<p>Partner with senior G&amp;A leaders to scope roles, calibrate the bar, and design search strategies for specialized and hard-to-fill positions</p>
</li>
<li>
<p>Build and maintain strong pipelines of high-quality candidates, including passive talent, across finance, legal, and people domains</p>
</li>
<li>
<p>Run structured, rigorous, and candidate-centric processes that uphold Anthropic’s hiring bar and reflect our values</p>
</li>
<li>
<p>Advise hiring managers with data and market insight, and influence decisions through trust and credibility rather than pressure alone</p>
</li>
<li>
<p>Help establish and refine recruiting operations in the region, including local market mapping, compensation context, and process foundations</p>
</li>
<li>
<p>Collaborate with the broader Talent team, People Partners, and Compensation to structure competitive, equitable offers and guide candidates to close</p>
</li>
</ul>
<h2 class="heading"><strong>Minimum qualifications</strong></h2>
<ul>
<li>
<p>Track record of closing senior and specialized G&amp;A talent in competitive markets</p>
</li>
<li>
<p>Strong knowledge of the APAC talent landscape, ideally with experience hiring into or from Singapore</p>
</li>
<li>
<p>Excellent stakeholder management—you build trust and partnership with senior leaders before challenging them</p>
</li>
<li>
<p>Sound, independent judgment on calibration and candidate quality with minimal oversight</p>
</li>
<li>
<p>Clear, direct communication style, strong organization, and a bias toward action</p>
</li>
<li>
<p>Comfort operating with ambiguity and helping to build process and structure in a growing region</p>
</li>
<li>
<p>Genuine interest in Anthropic’s mission and the role a strong G&amp;A organization plays in achieving it</p>
</li>
</ul>
<h2 class="heading"><strong>Preferred qualifications</strong></h2>
<ul>
<li>8+ years of full-cycle recruiting experience, with deep expertise in G&amp;A hiring across at least two of Finance, Legal, and People</li>
<li>
<p>Experience recruiting at a high-growth technology, AI, or machine learning company</p>
</li>
<li>
<p>Experience standing up or scaling recruiting in a new office or region</p>
</li>
<li>
<p>Exposure to executive search or senior leadership hiring within G&amp;A functions</p>
</li>
<li>
<p>Familiarity with Greenhouse or similar ATS platforms</p>
</li>
<li>
<p>Regional language skills relevant to hiring across APAC</p>
</li>
</ul>
<p><strong>Compensation &amp; Benefits</strong></p>
<p>Anthropic’s total compensation package for this role includes a competitive salary, equity, and a comprehensive benefits package. Benefits are tailored to the country of employment and typically include health coverage, generous parental leave, flexible time off, and retirement provisions in line with local norms. Specific details will be shared during the interview process.</p>
<p>&nbsp;</p><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Recruiter, G&A - Singapore

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="heading"><strong>About the role</strong></h2>
<p>Anthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training.</p>
<p>This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.</p>
<h2 class="heading"><strong>Key responsibilities</strong></h2>
<ul>
<li>Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show</li>
<li>Investigate how RL improves as horizon, compute, and model size grow</li>
<li>Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible</li>
<li>Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship</li>
<li>Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale</li>
<li>Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack</li>
</ul>
<h2 class="heading"><strong>Minimum qualifications</strong></h2>
<ul>
<li>Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area</li>
<li>Demonstrated ability to own large experiments end-to-end, from design through interpretation</li>
<li>Proficiency in Python and experience working with large-scale or distributed ML systems</li>
<li>Comfort operating at the research/systems boundary, including debugging where the two meet</li>
<li>Care about the societal impacts of AI and responsible scaling</li>
</ul>
<h2 class="heading"><strong>Preferred qualifications</strong></h2>
<ul>
<li>Published or shipped work in long-horizon RL or RL fundamentals</li>
<li>Experience translating research findings into production training recipes</li>
<li>Demonstrated large scale industry impact via RL interventions&nbsp;</li>
<li>Experience working on frontier-scale training runs with long trajectories</li>
</ul>
<h2 class="heading"><strong>Representative projects</strong></h2>
<ul>
<li>Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup</li>
<li>Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe</li>
<li>Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure</li>
</ul>
<p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>£375,000</span><span class="divider">&mdash;</span><span>£640,000 GBP</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Research Engineer, RL Scaling Science

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As an Account Executive, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market. This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works. The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously. Role Focus This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include: Nonprofits &amp; Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms. Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes. Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale. Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes. Responsibilities Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners Inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, AI ethics, and responsible deployment Partner effectively with SF-based teams across time zones, maintaining regular cadence with Elizabeth Kelly and cross-functional stakeholders while operating with significant regional autonomy Help shape team processes and culture as we scale from 1 to N You May Be a Good Fit If You Have 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees A scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission Strong understanding of GDPR and UK data protection, with ability to address customer concerns about AI ethics and responsible deployment Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones Excellent communication skills with ability to adapt style across cultural contexts Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology Strong Candidates May Also Have Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment Track record of building strategic partnerships with foundations or philanthropic advisors Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes Logistics Location: London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly. Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours. Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:£280,000&mdash;£330,000 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Account Executive, Beneficial Deployments

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We are seeking a Detection and Response Engineering Manager to lead our Detection and Response teams in creating comprehensive Security Observability, Detection Lifecycle, and Security Incident Response programs for Anthropic. You will collaborate closely with teams and leaders across Anthropic, focusing on the observability, detection, investigation, incident response, and intelligence portions of the security lifecycle. You will collaborate closely with preventative security engineering teams and other cross-functional teams. What you’ll do: Manage and grow a high-performing D&amp;R team, planning strategy and hiring to support Anthropic's rapid growth and unique AI safety requirements Navigate prioritization in a fast-paced frontier environment, balancing operational demands with building innovative, scalable solutions for the future Collaborate across security engineering teams to build comprehensive prevention, observability, detection, and response capabilities throughout the security lifecycle Facilitate development of scalable, AI-leveraged D&amp;R solutions that enable self-service observability and detection capabilities across Anthropic Build partnerships with product, infrastructure, and research teams to instill security monitoring best practices Own and continuously improve Security Incident Response, Data Management, and Detection Engineering policies and playbooks Continuously drive capability maturity across the detection lifecycle, establishing metrics and KPIs to measure effectiveness Who you are: 10+ years building detection and response capabilities in a cloud-native organization 5+ years of engineering management experience with a proven track record of building and scaling security teams Deep understanding of security monitoring, threat detection, incident response, and forensics best practices Experienced in securing complex cloud environments (Kubernetes, AWS/GCP) with modern detection technologies Knowledgeable in AI/ML security risks, detection patterns, and response strategies Strong verbal and written communication skills with the ability to distill complex security topics Skilled at collaborating cross-functionally and effectively balancing security requirements with business objectives Able to drive high-impact work while incorporating feedback and adapting to changing priorities Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment Low ego, high empathy, and have a track record as a talent magnet who attracts and retains top security talent Deadline to apply: None, applications will be received on a rolling basis.The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$405,000&mdash;$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Engineering Manager, Detection and Response

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Responsibilities: Team Leadership Lead and scale a global team of Support Managers and Specialists across AMER and EMEA Build a high-performance culture rooted in customer obsession, operational excellence, and continuous improvement Own hiring, onboarding, career development, and performance management for the human support organization Develop and mentor managers to lead their own high-performing teams Enterprise &amp; Paid Support Define and execute the strategy for our paid enterprise support offering, including tiered support packages, contractual SLAs, and expanded support channels Build and operationalize 24/7 human support coverage for premium customers Own the P&amp;L, pricing strategy, and go-to-market approach for paid support in partnership with Sales and Finance Establish service delivery frameworks that consistently meet or exceed contractual commitments Operations &amp; Strategy Set team-wide goals, KPIs, and operating rhythms; use data to drive decisions and demonstrate impact Design and optimize support processes, workflows, and tooling to improve quality, efficiency, and scalability Own escalation management and ensure critical customer issues are resolved with urgency and care Drive voice-of-customer insights to Product, Engineering, and leadership to improve the overall customer experience Cross-Functional Partnership Partner closely with Sales, Account Executives, and Customer Success to deliver seamless enterprise customer experiences Collaborate with Product and Engineering on product feedback loops, beta programs, and technical escalations Represent Support in executive reviews and cross-functional planning &nbsp; You may be a good fit if you: Have 12+ years of experience in customer support, with at least 6 years leading support teams and 3+ years as a manager of managers Have built or scaled enterprise and/or paid support programs from the ground up, including defining SLAs, pricing, and service delivery models Have a strong track record of building high-performing, globally distributed support teams Are deeply experienced in B2B/enterprise support for technical products (SaaS, APIs, developer tools) Are data-driven and metrics-oriented; you know how to set goals, measure performance, and use insights to improve Have excellent judgment and can balance customer needs with business priorities Are a strong cross-functional partner, especially with Sales/GTM teams Communicate with clarity and empathy, whether with customers, executives, or your own team Are energized by ambiguity and building something new; you thrive in fast-paced, evolving environments Are genuinely curious about AI and excited to support customers using Anthropic's products The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$250,000&mdash;$320,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Head of Enterprise Support

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role The Global Partner Sales Manager for Systems Integrators will serve as the strategic architect and executive owner of Anthropic's relationships with up to three tier-one global systems integrators. This role demands a seasoned enterprise partnership sales manager who can orchestrate multiple complex, multi-dimensional global relationships simultaneously, spanning co-selling, channel enablement, solution development, and joint go-to-market execution across each partner. The successful candidate will be accountable for transforming these GSI partners into billion-dollar Claude revenue engines, nurturing their growth from initial enablement through to scaled, industry-specific practices that deliver transformative customer solutions powered by Claude. This is a high-stakes, execution-focused role requiring someone who can operate at the C-suite level with multiple GSI partners' global leadership while simultaneously driving tactical wins across priority markets and industry verticals. You will own the strategic roadmap, investment prioritization, development plans, and revenue accountability for a portfolio of partnerships that will collectively become critical drivers of Anthropic's enterprise growth. &nbsp; Responsibilities: Multi-Partner Portfolio Management You will own and orchestrate the complete 360-degree relationship with up to three major systems integrators across all dimensions: sell-to (partners as customers), sell-with (joint selling to enterprise accounts), and sell-through (partner-led channel sales). This requires balancing investment across your partner portfolio, determining which partners lead in which industries and geographies, and architecting each partnership for maximum mutual value creation. You will be personally accountable for the aggregate contribution of your partner portfolio and responsible for establishing the metrics, governance, and strategic frameworks that ensure all partners are progressing toward their full potential. Partner Development and Practice Building You will nurture each partner from early-stage enablement through to mature, scaled practices capable of delivering comprehensive industry and segment-specific solutions. This means working with partner leadership to define practice vision and architecture, co-developing go-to-market strategies by industry vertical, and establishing the organizational structures, talent models, and solution portfolios that enable each partner to build expansive global Anthropic practices. You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services. Training, Enablement and Certification You will design and oversee comprehensive enablement programs that transform your partners' workforces into Claude experts and advocates. This includes building training curricula spanning technical implementation, solution architecture, industry applications, and business value articulation. You will establish certification programs that create tiers of expertise within each partner organization, develop enablement materials that scale globally, and ensure partners understand competitive differentiation and can confidently position Claude against alternative AI platforms. Success means creating thousands of enabled professionals across your partner portfolio who can design, build, and deliver production-grade agentic solutions. Industry and Segment Solution Development You will collaborate with each partner to build declarative, production-grade solutions powered by Claude that address specific industry challenges and segment use cases. This means partnering with their industry practices to identify high-value use cases, co-developing reference architectures and solution accelerators, and ensuring each partner builds a differentiated solution portfolio that showcases Claude's unique capabilities. You will drive the creation of industry-specific offerings spanning areas such as intelligent document processing, customer service transformation, software development acceleration, research and analysis automation, regulatory compliance, and decision support systems. Revenue Generation and Market Leadership You will lead the pursuit and closure of market-tipping deals across your partner portfolio that establish Claude as the enterprise standard for agentic AI. This means building executive relationships within each partner's C-suite, identifying and influencing their largest transformation opportunities, and ensuring Claude is positioned as the foundational technology for their agentic enterprise vision. A primary measure of success will be the velocity at which each partner builds a billion-dollar Claude practice, with clear milestones and accountability mechanisms you establish and drive across your portfolio. Customer Success and Lifetime Value Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement.&nbsp; You may be a good fit if you have: GSI Partnership Expertise You have 8+ years of direct experience managing strategic partnerships with tier-one systems integrators. You possess the ability to nurture or have existing VP+ level relationships across multiple GSIs and understand how to navigate their complex organizational matrices. You have previously owned partnership portfolios generating $250M+ in aggregate influenced or direct revenue and have experience balancing investment and prioritization across multiple strategic partners simultaneously. Partner Development and Practice Building You have successfully nurtured partners from early stages through to scaled practices, understanding the developmental journey from initial enablement to mature, revenue-generating organizations. You know how to build partner business plans, establish practice architectures, develop enablement programs at scale, and measure partner maturity and progression. You have experience helping partners build industry-specific and use-case-driven solutions that create repeatable revenue streams. Technology Platform Partnerships You have built partnerships in high-growth technology categories (cloud platforms, enterprise software, AI/ML) where partner enablement, competitive positioning, technical differentiation, and solution development were critical success factors. You understand how to translate technical capabilities into business value propositions that resonate with enterprise buyers and partner sales organizations across diverse industry verticals. Global Operating Model and Portfolio Management You have operated successfully in partner roles requiring coordination across multiple geographies, cultures, and time zones while simultaneously managing multiple strategic partner relationships. You understand how to establish global frameworks while enabling regional execution, prioritize investment across a partner portfolio based on strategic value and maturity, and build virtual teams that span partner and internal resources across continents. Revenue Accountability and Commercial Acumen You have carried revenue targets in previous roles with forecasting, and the financial mechanics of channel partnerships. You are comfortable with ambitious growth targets across a portfolio and know how to build bottoms-up models that connect activity to revenue outcomes. You understand how to balance short-term revenue delivery with long-term partner development and investment. Success Profile: The ideal candidate combines strategic vision with relentless execution discipline and the organizational capability to manage multiple complex partnerships simultaneously. You are equally comfortable presenting Anthropic's strategic vision to a GSI's Global CEO as you are rolling up your sleeves to rescue a stuck deal or workshop an industry solution with a partner's practice team. You have the gravitas to influence senior executives across multiple organizations while maintaining the hunger and urgency of a quota-carrying seller. You are obsessively competitive and bring deep conviction about how to win in the market across diverse industries and use cases. You understand the AI landscape, can articulate Claude's technical and philosophical differentiation, and have the credibility to challenge partners when they're not positioning us effectively. You are energized by building and nurturing, understanding that creating multiple billion-dollar partnerships requires both visionary thinking and daily operational excellence across your portfolio. Key Performance Indicators Aggregate partner-influenced and partner-sourced revenue across portfolio (direct and channel) Build $1B Claude practice for each partner&nbsp; Number of market-tipping deals (&gt;$5M ACV) jointly won across portfolio Partner enablement metrics (certified professionals, active sellers, solution developers) by partner Industry solution development (number and quality of vertical-specific offerings created) Joint pipeline coverage and win rates in co-selling motions by partner Customer success metrics in partner-influenced accounts (NRR, time-to-value, satisfaction) Partner maturity progression (measured across capability dimensions) Strategic investment ROI (where we invest across portfolio vs. outcomes achieved) Working Relationships You will report to the Head of North American Partnerships and work in close partnership with Anthropic's regional partnership leaders, product teams, sales organization, and technical account management. You will establish executive sponsorship relationships within Anthropic's leadership team and maintain direct access to senior stakeholders for strategic escalations and opportunity support. Externally, you will cultivate and maintain relationships across your GSI partners' global organizations, including their regional managing partners, sector leaders, and practice heads. You will serve as Anthropic's primary interface to each partner and own the partnership strategic narrative both internally and externally for your portfolio. Location and Travel This role can be based ideally in Bengaluru, India, with significant travel expected to engage with partner leadership globally, support market-tipping opportunities in priority regions, and participate in partner enablement activities across geographies.&nbsp;Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Partner Sales Manager

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the Role We're looking for a Program Manager to shape and grow our global education initiatives. You'll build and manage partnerships with organizations serving the world's most underserved learners, from students in Sub-Saharan Africa gaining internet access for the first time to teachers in India with minimal training and resources. This is a foundational role where you'll shape our strategy for deploying AI tutors and teaching assistants across India, Sub-Saharan Africa, and Latin America. You'll work with partners building solutions on top of the Claude API that function in low-connectivity environments, teach in local languages, and prove that world-class education isn't a luxury good. The right person will combine deep relationships in global education, technical fluency with LLMs, and the entrepreneurial drive to build something new at the frontier of AI. This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Program Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem. Responsibilities Own and execute Anthropic's global education strategy, managing partnerships with edtech organizations, ministries of education, international NGOs, and foundations Grow existing partnerships across India, Sub-Saharan Africa, and Latin America, as well as identify, evaluate, and onboard new partners as needed Serve as the primary relationship owner for flagship global education partners requiring custom deployments (distinct from standard product sales), coordinating with Applied AI, product, and GTM teams to deliver impact Work closely with partners to understand their technical and operational needs and translate them into deployment plans Set a research agenda for understanding AI's impact on education in low-resource settings, partnering with external organizations to study the efficacy of interventions Identify opportunities to create technical public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem Work cross-functionally with product and research teams to identify ways to improve Claude for education use cases Represent Anthropic at global education convenings and conferences Help shape team processes and culture as we scale our education work Identify when partnership opportunities are better suited for our scaled sales motion and hand off appropriately to Account Executives Travel regularly to partner sites across Global South (~30% travel time), plus visits to SF headquarters every 6 weeks for those based outside SF You Might Be a Good Fit If You Have 7+ years of experience in global education, international development, or related fields 3+ years of experience managing external partnerships, grantmaking, or multi-stakeholder initiatives Deep relationships and credibility in the global education ecosystem: you know the key players at major NGOs, foundations, and ministries of education Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Analytical mindset with experience using data to inform strategy and measure impact Experience working directly with organizations in low and middle income countries, with a nuanced understanding of deployment challenges in low-connectivity, low-resource environments An entrepreneurial mindset: you've built programs or organizations from scratch, likely at startups or in founding roles A genuine drive to maximize impact for underserved communities High agency and comfort with ambiguity; you thrive when you're building the plane while flying it Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities Willingness to travel extensively Strong Candidates May Also Have Experience working with philanthropic foundations on education initiatives Background at edtech companies, AI organizations, or in product-adjacent roles Familiarity with education research and evidence-based interventions Language skills relevant to India, Sub-Saharan Africa, or Latin America Background in classroom teaching or school administration &nbsp;The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$215,000&mdash;$300,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Program Manager, Global Education

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the Role We're looking for a Program Manager to shape and grow our US K-12 education initiatives. You'll build and manage partnerships focused on closing the achievement gap, equipping teachers in Title I and other underserved schools with AI teaching assistants that enable them to provide the individualized attention previously reserved for well-resourced schools. This is a foundational role where you'll shape our strategy for working with school districts, teacher unions, innovative schools, edtech partners, and foundations to bring AI into classrooms that need it most. You'll navigate the complex landscape of US public education while moving quickly to deploy solutions on top of the Claude API that help teachers and students. The right person will combine deep relationships in K-12 education, technical fluency with LLMs, and the entrepreneurial drive to build something new at the frontier of AI. This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Program Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem. Responsibilities Own and execute Anthropic's US K-12 education strategy, managing partnerships with edtech companies, districts, unions, innovative schools, and foundations Grow existing partnerships with a focus on Title I schools and underserved student populations, as well as identify, evaluate, and onboard new partners as needed Serve as the primary relationship owner for flagship US K-12 education partners requiring custom deployments (distinct from standard product sales), coordinating with Applied AI, product, and GTM teams to deliver impact Work closely with partners to understand their technical and operational needs and translate them into deployment plans Navigate the procurement, privacy, and policy landscape of US public education to enable successful deployments Set a research agenda for understanding AI's impact on K-12 learning, partnering with external organizations to study the efficacy of interventions Identify opportunities to create technical public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem Work cross-functionally with product and research teams to identify ways to improve Claude for education use cases Represent Anthropic at K-12 education convenings and conferences Help shape team processes and culture as we scale our education work Identify when partnership opportunities are better suited for our scaled sales motion and hand off appropriately to Account Executives Travel to partner sites for workshops, district meetings, and relationship building; candidates based outside SF should expect visits to headquarters every 6 weeks &nbsp; You Might Be a Good Fit If You Have 7+ years of experience in K-12 education, edtech, or related fields 3+ years of experience managing external partnerships, grantmaking, or multi-stakeholder initiatives Deep relationships and credibility in the US K-12 ecosystem: you know how to work with districts, unions, and state education agencies Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Analytical mindset with experience using data to inform strategy and measure impact Direct experience working with school districts on technology adoption, curriculum implementation, or similar initiatives An entrepreneurial mindset: you've built programs or organizations from scratch, likely at startups or in founding roles A genuine drive to maximize impact for underserved students High agency and comfort with ambiguity; you thrive when you're building the plane while flying it Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities Understanding of the unique challenges facing Title I schools and underserved student populations Willingness to travel extensively Strong Candidates May Also Have Experience working with philanthropic foundations on K-12 education initiatives Background in classroom teaching or school administration Experience at edtech companies, AI organizations, or in product-adjacent roles Familiarity with education research, evidence-based interventions, and learning science Experience working with teacher unions or understanding of union dynamics in education The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$215,000&mdash;$300,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Program Manager, US K-12 Education

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.&nbsp; Responsibilities:&nbsp; Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities&nbsp; Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents Review Incident Response metrics and procedures and drive continuous improvement&nbsp; Work cross functionally with other security and engineering teams Note: This position will require participation in an on-call rotation You may be a good fit if you have: 3+ years of software engineering experience, with security experience a plus and/or 5+ years of detection engineering, incident response, or threat hunting experience A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Exceptional communication and collaboration skills An ability to lead projects with little guidance The ability to pick up new languages and technologies quickly Experience handling security incidents and investigating anomalies as part of a team Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have: Experience performing security operations or investigations involving large-scale Kubernetes environments A high level of proficiency in Python and query languages such as SQL Experience analyzing attack behavior and prototyping high quality detections Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics Experience contributing to a high growth startup environment Deadline to apply: None, applications will be received on a rolling basisLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Senior Security Engineer, Detection & Response

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations. Responsibilities: Build AI-powered platform responsible for all aspects of D&amp;R capabilities from detection development to incident response Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure Architect solutions for storing and efficiently querying large volumes of security-relevant data Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities Work closely with security and infrastructure teams to understand requirements and deliver solutions Mentor engineers and contribute to hiring and growth of the Security team Participate in on-call shifts You may be a good fit if you: 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines Track record of building and maintaining internal developer tools or security platforms Strong understanding of data processing pipelines and experience working with large-scale logging systems Experience with: Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) Infrastructure-as-code (Terraform, CloudFormation) Query optimization for large datasets Experience with building stable and scalable services on cloud infrastructure and serverless architectures&nbsp; Ability to write maintainable and secure code in Python Experience working with security teams and translating requirements into technical solutions Ability to lead technical projects with minimal guidance Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Strong candidates may also have experience with: Experience building security tooling from the ground up Background in implementing security monitoring solutions (SIEM, log aggregation, EDR) Background in detection engineering or security operations Experience with: SOAR platform/automation development Data lake / Database architecture API design and internal platform creation Track record of applying ML/AI to security problems Experience scaling security operations in a high-growth environment Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

Senior Security Software Engineer, D&R Platform

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role: We're looking for the first Solutions Architect to join our Beneficial Deployments Applied AI team. You'll help mission-driven organizations—nonprofits, NGOs, foundations, and social enterprises—transform their operations and build impactful solutions with Claude. This role combines technical expertise with deep relationship-building to help partners in education, global health, economic mobility, and life sciences accelerate their impact through AI adoption and deployment. You'll be the primary technical advisor for partners across segments, driving engagements from discovery through deployment, and coordinating with segment leads and product engineers to deliver impact. Responsibilities: Serve as the primary technical advisor to mission-driven organizations throughout their Claude adoption journey—partnering with segment leads to understand requirements and translating them into impactful solutions from discovery through deployment Transform partners into AI-native organizations through Claude Code enablement and internal business process evolution, to empower them to operate more effectively and build for where AI capabilities are headed Design and lead cohort-based accelerators to scale our expertise and impact to multiple organizations simultaneously Identify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, and other cross-partnership infrastructure Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Help shape team processes and culture as we scale from 1 to N You Might Be a Good Fit If You Have: 3+ years in technical role, ideally with customer-facing exposure (Solutions Architect, Customer Engineer, Sales Engineer, Technical Account Manager, Product Engineer) Experience working in or building trust with education, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints Familiarity with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks A love of teaching, mentoring, and helping others succeed A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$240,000&mdash;$270,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us.&nbsp;To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;anthropic.com/careers&nbsp;directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;our policy&nbsp;for using AI in our application process

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