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.

Implementation Specialist (Claude for Enterprise)

Content Marketing Lead

Implementation Specialist, Claude for Enterprise

Recruiter, AI Research

Software Engineer, Scalability and Capability

Web Engineer, Claude Code

Software 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.About the role Anthropic is seeking a highly analytical B2B Growth Marketing Lead to join our marketing team. You'll be embedded within our B2B marketing organization, providing strategic guidance and hands-on execution across our core performance channels: SEO, paid media, and lifecycle marketing programs. Think performance marketer, but for the B2B enterprise space. In this role, you'll architect data-driven growth strategies that deliver predictable, scalable pipeline generation. You'll own the analytical frameworks that measure complex, multi-touch customer journeys and optimize channel performance. This is an opportunity to apply performance marketing rigor to enterprise B2B growth for a company at the forefront of responsible AI development. Responsibilities: Channel Strategy &amp; Execution: Own strategic development and tactical execution of SEO, paid media (LinkedIn, Google, 6sense/ABM platforms), and lifecycle marketing programs. Identify, evaluate, and test new channels to diversify acquisition strategies ICP Targeting &amp; Optimization: Develop sophisticated targeting strategies to reach ICPs across channels, provide platform-specific creative guidance, and collaborate to improve MQL signals and campaign efficiency Analytics &amp; Measurement: Partner with Data Science teams to guide attribution models and measurement frameworks. Define KPIs, interpret complex data, and communicate performance insights to stakeholders Lifecycle &amp; Growth: Identify opportunities for lead nurturing and account expansion, optimizing customer journey progression and conversion funnels across multiple touchpoints Cross-functional Collaboration: Work closely with Sales, RevOps, and Product Marketing teams to optimize lead qualification, handoff processes, and go-to-market alignment You may be a good fit if you have: 10+ years of performance marketing experience in B2B software companies with deep expertise in SEO, paid media, and lifecycle marketing Strategic Leadership: Track record of building scalable growth strategies in fast-paced, high-growth technology companies outside of agency settings Enterprise B2B Focus: Proven success driving pipeline and revenue growth in complex, multi-stakeholder buying environments with significant marketing budgets Analytical Excellence: Strong analytical mindset with ability to interpret complex data, guide measurement frameworks, and translate insights into scalable strategies Channel Expertise: Experience with account-based marketing platforms, multi-touch attribution, and optimization of sophisticated conversion funnels Stakeholder Management: Exceptional communication skills with experience influencing cross-functional teams and presenting complex performance data to senior leadership Strong candidates may also have: Vertical industry expertise with demonstrated success marketing to specific enterprise sectors Experience with AI/ML products or emerging technology categories Proficiency with advanced analytics platforms and marketing automation systems Track record of implementing ABM at enterprise scale Background building marketing programs for new product categories At Anthropic, we believe that the highest-impact marketing happens when diverse perspectives come together to solve complex problems. We value a collaborative environment where team members can thrive and contribute to our mission of building AI systems that are safe, beneficial, and aligned with human values.The expected salary range for this position is: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. 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

B2B Growth Marketing 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 a highly organized, detail-oriented, and self-starting Administrative Business Partner to support senior leaders at Anthropic. This role requires exceptional administrative efficiency and flawless execution to manage leaders' scheduling, logistics, and communications. You will maintain immaculate systems to ensure no details slip through the cracks while providing comprehensive support. As a critical point of contact, you will need to demonstrate exceptional organizational abilities in a fast-paced, high-volume environment, maintaining meticulous systems while handling shifting priorities. Success requires outstanding attention to detail, strong relationship-building skills, and the ability to anticipate needs across teams while ensuring responsive, error-free execution. We are hiring for multiple Administrative Business Partner roles, supporting across many parts of the business in differing support ratios (up to 1 to 3). We run a generalized process with a leader matching portion at the end. Responsibilities: Scheduling and managing calendars for leader(s) and their organization(s), supporting with tracking and execution of action items Building and maintaining organizational systems for tracking and managing inbound requests Managing the leader's inbox and communications with precise attention to detail, maintaining rapid response times and ensuring all messages are swiftly triaged Providing seamless and welcoming experiences for in-person visitors, ensuring prospective external partners feel valued and appreciated Handling travel logistics and coordinating logistics for conferences and events in partnership with comms, sales, and marketing teams.&nbsp; Coordinating with internal stakeholders to gather necessary information and materials for meetings Managing expense claims and reimbursements for leaders, ensuring timely processing and accurate record-keeping Assisting with ad-hoc projects using your problem-solving skills and proactive mindset to drive positive outcomes You may be a good fit if you: Are highly organized with the ability to build systems to track and prioritize multiple tasks Maintain a high level of attention to detail&nbsp;in fast-paced and changing environments and take pride in flawless administrative execution Have experience working in heavily external facing Executive support roles Have enthusiasm for supporting leaders in executing their vision, and ensuring they have the necessary resources and information to succeed Have excellent time management skills Have a positive, calm, and welcoming attitude and are able to communicate effectively with internal and external stakeholders at all levels Have a proven track record of handling sensitive and confidential information with discretion Strong candidates may also have: A strong interest in Anthropic’s mission and deep commitment to AI safety in research and product development Experience supporting executives or busy leaders A security mindset with a thorough understanding of data protection and privacy best practices Role-Specific Location Policy:&nbsp; Currently, we expect all staff to be in our office at least 25% of the time. For this role specifically, however, we expect it may be necessary to be in the office more regularly, around 3-4 days a week. Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$160,000&mdash;$230,000 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. 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

Administrative Business Partner

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 exceptional AI Infrastructure Accounting Lead to join our Corporate Accounting team. In this strategic leadership position, you will build and lead the infrastructure accounting function responsible for managing all aspects of cloud computing, platform infrastructure, and data costs. As we continue our rapid growth, you will ensure operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. You will oversee end-to-end accounting and financial reporting for our largest cost center, working closely with cross-functional teams including Finance, Capacity Planning, and Engineering. You'll develop and implement scalable processes, controls, and systems to support Anthropic's growing financial complexity while providing critical insights that drive strategic decision-making. This is a unique opportunity to have significant impact on a critical aspect of our business as we scale our AI infrastructure. Responsibilities: Lead the team responsible for end-to-end accounting and reporting for AI infrastructure, including compute, cost of revenue, and R&amp;D opex Develop and implement a comprehensive framework for infrastructure cost accounting, ensuring proper classification between Cost of Revenue and Operating Expenses Ensure accurate and timely financial reporting to support strategic decision-making by business leaders Partner with technical teams to understand complex infrastructure requirements and translate them into financial terms Collaborate cross-functionally to improve upstream data pipelines and enhance reporting capabilities Design and scale systems and processes to support Anthropic's growing financial complexity Leverage technical accounting expertise to support the review of complex arrangements, including ASC 842 lease accounting for infrastructure Build and mentor a high-performing team of accounting professionals focused on infrastructure costs Act as the primary liaison with external auditors for compute and infrastructure costs Drive process improvements and automation to enhance efficiency and accuracy of financial reporting Provide strategic insights to leadership on cost optimization opportunities and financial implications of infrastructure decisions You may be a good fit if you: Have 12+ years of progressive experience in accounting, with operational experience at technology companies Hold a Bachelor's degree in Accounting or Finance, CPA or equivalent preferred Have extensive experience managing cloud computing or infrastructure costs in a high-growth technology environment Possess strong technical accounting knowledge, particularly with ASC 842 (lease accounting) as it relates to infrastructure arrangements Demonstrate exceptional analytical abilities and experience working with large, complex datasets Have a proven track record of building and improving scalable financial processes in fast-growing environments Show strong leadership skills with experience building and developing high-performing teams Are adept at translating technical concepts into financial implications Possess excellent communication skills and ability to influence cross-functional stakeholders Have experience partnering with engineering and infrastructure teams to optimize costs and improve financial reporting Strong candidates may have: Experience at hyperscalers (GCP, AWS, Azure) or large compute consumers (Meta, Netflix, Uber) SQL proficiency for querying and analyzing large compute cost datasets Experience with capacity planning and infrastructure cost modeling Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud/on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience designing and implementing automation solutions for financial processes Proven ability to navigate ambiguity and drive results in rapidly changing environments Experience building accounting teams from the ground up The expected salary range for this position is:Annual Salary:$230,000&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. 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

AI Infrastructure Accounting 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're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Responsibilities: Architect and implement cutting-edge Android applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed You might be a good fit if you have: 7+ years of Android development experience and proficiency with latest mobile platform capabilities/intricacies, including Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem Practical experience with full-stack development and comfort working with backend technologies 0 to 1 experience building successful products in early stage environments&nbsp; A proven track record of shipping impactful, high-adoption mobile applications Experience building applications that utilize modern ML/AI technology Excellent communication and mentorship skills Thrive in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Strong candidates may have: 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The expected salary range for this position is: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. 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

Android Engineer, Product

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 Anthropic Fellows Program The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent. The program provides funding and mentorship for cohorts of Fellows to work full-time on AI safety research. The program runs for approximately two months, with opportunities to extend for an additional four months based on progress and performance. Fellows are matched with Anthropic mentors to investigate research questions in areas such as Adversarial Robustness &amp; AI Control, Scalable Oversight, Model Organisms of Misalignment, and Mechanistic Interpretability. We currently run this program on a twice-annual basis, and we aim to expand out the program or run similar efforts over time. The program aims to expand the pool of researchers working at the frontier of AI safety by supporting engineers and researchers with strong coding or technical backgrounds in their transition into safety research. In recent months, our collaborations through Anthropic Fellows and similar programs have led to a majority of our research papers and new hires to our Alignment Science team. About the role As Program Lead for the Anthropic Fellows Program, you will be responsible for designing, iterating on, and scaling the program's operations while ensuring Fellows have the infrastructure and support needed to produce high-impact research. This role combines program management and operational excellence to build one of the premier pipelines for AI safety research and talent development. You'll work closely with senior researchers and operations teams across Anthropic to identify high-impact research projects, coordinate resources, and ensure smooth program execution. This role requires both strategic vision to shape the program's future and tactical excellence to manage day-to-day operations. Please note: We expect this role to be in-person 5 days a week in San Francisco or Berkeley, CA Responsibilities: Program Operations &amp; Management Own end-to-end program execution including timelines, milestones, and deliverables Manage expense and compute tracking/approvals (~$15,000 per month per Fellow for compute and research spending) Set up and coordinate fellows programming, including Q&amp;As, talks, socials, and research discussions Design and iterate on program structure, including performance evaluation criteria for extensions Track and report on program metrics and Fellow progress Recruiting &amp; Talent Pipeline Lead Fellows recruiting efforts including coordinating contractors and liaising with cross-functional stakeholders Develop and execute outreach strategies to attract top technical talent Coordinate application review and selection processes Work with the recruiting team to support placement of successful Fellows into full-time roles at Anthropic and other safety research organizations Research Coordination Collect and curate research project proposals from Anthropic researchers Solicit feedback on proposals and coordinate selection of the best projects Match Fellows with appropriate projects and mentors based on skills and interests Facilitate collaboration between Fellows and with Anthropic mentors across research areas People Support Directly manage a subset of Fellows when needed Coordinate with mentors to ensure Fellows receive appropriate technical and career guidance Support Fellows through research challenges and help navigate open-ended projects Coach Fellows through interpersonal or collaboration-related issues Strategic Initiatives Lead efforts to scale the program by documenting program impact and securing buy-in for additional growth Support broader safety-related TPM initiatives including: Spearheading safety-related collaborations with other organizations, e.g., for auditing the alignment of models Spotting opportunities for internal projects which could be supported with external help, e.g. sourcing and setting up contractors for alignment eval building or generation Recruiting for contracting roles (e.g., paper writing support) Partner with external programs and organizations in the AI safety ecosystem for research and talent sourcing and development What We're Looking For: Required Qualifications Strong project management skills including timeline management, resource allocation, and cross-functional coordination Demonstrated ability to coordinate logistics for events, programs, or initiatives Experience in understanding AI safety research at a high level, or ability to learn to do so Experience in managing complex, multi-stakeholder initiatives, or ability to do so Excellent written and verbal communication skills Preferred Qualifications Program management experience, preferably in research or engineering environments Experience with recruiting, evaluating, and placing technical talent Familiarity with the AI and/or AI safety research landscape and key research agendas Prior experience contributing to or managing projects, especially engineering or research projects Background in machine learning, computer science, or related technical fields Familiarity with machine learning infrastructure and computational research workflows Personal Qualities High agency at identifying new opportunities for impact Strong ability to execute quickly and get stuff done High reliability at execution – ability to consistently understand what needs to happen and execute without errors Ability to handle and track a large volume of diverse tasks Excitement for developing research talent and advancing AI safety and Anthropic’s mission Strong work ethic – ability to do what needs to happen to meet tight deadlines or make ambitious goals happen Great interpersonal skills – ability to be the public face of the program, build relationships across diverse stakeholders, and navigate and advise on interpersonal difficulties between researchers The expected salary range for this position is:Annual Salary:$210,000&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. 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

Anthropic Fellows Program Lead, Alignment 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.About the role: As the Manager of Solutions Architecture EMEA team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Enterprise Tech companies and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for leading &amp; growing the EMEA Applied AI Solutions Architecture team. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: Manage and mentor a team of Solutions Architects, providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Work with a handful of highest-value Digital Native enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements &amp; co-build GTM strategies to drive adoption for Digital Native enterprise customers Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases Contribute to thought leadership through conference presentations, webinars, and technical content creation Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector You may be a good fit if you have: 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 3+ years of technical go-to-market management experience, specifically managing pre-sales teams 3+ years of product management experience Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.) Experience with the unique technical requirements and technical procurement process of enterprise tech companies Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems Make ambiguous problems clear and identify core principles that can translate across scenarios Have a passion for making powerful technology safe and societally beneficial Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and informed by taking an active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies Deadline to apply: None. Applications will be reviewed on a rolling basis.The expected salary range for this position is:Annual Salary:£160,000&mdash;£215,000 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. 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, Solutions Architecture

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 Application Security team is at the forefront of building security into every phase of the software development lifecycle at Anthropic. In this hands-on technical role, you will partner closely with our software engineers and researchers to ensure that security is a core consideration from initial design through implementation. You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices. Your insights will shape our tooling, detection capabilities, and defenses against emerging threats to AI/ML. You'll develop the standards, processes, and educational resources that enable all Anthropic engineers to be security champions. This high-impact role demands a security practitioner who can think like an attacker, has a developer mindset, and can build strong relationships. Responsibilities: Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries Lead “shift left” security efforts to build security into the software development lifecycle. Conduct secure design reviews and threat modeling. Identify and prioritize risks, attack surfaces, and vulnerabilities. Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices.&nbsp; Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale. Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community. Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development. Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers. You may be a good fit if you: Have 5+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments. Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle. Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls. Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface. Are keen to distill complex security concepts into clear actions and drive consensus without direct authority. Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education. Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes. Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses. Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives. Advocate for security fundamentals like least privilege, defense-in-depth, and eliminating complexity that could sub-linearly scale security through smart design. Strong candidates may also: Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP. Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises.&nbsp; Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations. Experience building security tools, applications, and automated tools. Solid foundational knowledge of both software and security engineering principles and are keen to continue learning. Excellent communication skills, able to distill complex security topics for broad audiences. Worked and thrived in fast-paced environments, and comfortable navigating ambiguity. The expected salary range for this position is:Annual Salary:$300,000&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. 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

Application 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. About the role We are seeking a Security Engineering Manager to lead our Application Security team in ensuring the security and integrity of our products and third-party software used across all of Anthropic. You will collaborate closely with teams and leaders across Anthropic, providing guidance on security risks and mitigation, and secure development architecture. What you'll do Oversee “shift left" security efforts to build security into the software development lifecycle, with a focus on automation and scalability Ensure your team has the right processes and procedures to assist with threat modeling, secure design reviews, risk acceptance and security code reviews&nbsp; Operate our vulnerability management, security partnerships, and bug bounty / vulnerability disclosure programs Help to develop security policies, standards, playbooks and secure coding training content Encourage automation of applicable security-specific workloads and building tools that enable Anthropic teams to self-serve Build partnerships and collaborate with product and research teams to instill security best practices Manage and grow a team of Application Security engineers to deliver high-impact projects and experiences to our internal users Who you are 5+ years hands-on application and infrastructure security experience&nbsp; 3+ years of engineering management experience Possesses a deep understanding of security best practices, threat modeling, risk assessment Experienced in securing complex cloud environments (Kubernetes, Docker, AWS/GCP) Knowledgeable in AI/ML security risks and mitigations Strong in verbal and written communication and can distill complex security topics&nbsp; Skilled at collaborating cross-functionally and effectively balancing security requirements with business objectives Able to drive high-impact work while incorporating feedback 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 The expected salary range for this position is: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. 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

Application Security Engineering 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 We're looking for an Associate Solutions Architect to join our Applied AI team and help drive the adoption of Claude Code across our enterprise customers. As an Associate SA specializing in Claude Code, you'll be the technical bridge between our cutting-edge AI coding assistant and the engineering teams who can transform their productivity with it. You'll partner closely with Account Executives to demonstrate Claude Code's capabilities, guide technical evaluations, and help engineering organizations successfully deploy and scale Claude Code across their development workflows. This is an opportunity to work with some of the world's most innovative companies that leverage AI to accelerate software development. Responsibilities: Drive Claude Code Adoption Lead technical workshops on Claude Code for engineering teams and identify expansion opportunities for Claude Code with non-technical teams Guide customers through proof-of-concept implementations and technical evaluations Develop workflows and configurations tailored to customer development environments Focus on growing developer productivity for our existing customers using Claude Code Technical Customer Engagement Conduct discovery calls to understand customer development workflows and pain points Run technical pilots that showcase Claude Code's impact on engineering velocity Provide hands-on support during customer evaluations and rollout phases Build technical champions within customer engineering organizations Product Expertise &amp; Enablement Maintain deep expertise in Claude Code capabilities, integrations, and best practices Create demo environments, scripts, and technical content for customer engagements Provide product feedback to engineering teams based on customer interactions Stay current on competitive landscape and differentiation strategies Cross-Functional Collaboration Partner with primary Solution Architects and Product Engineers on technical aspects of sales cycles and collaborate on post-deployment expansion opportunities Work with Solution Architects and Product Engineers on complex technical requirements Contribute to internal knowledge sharing and best practices You may be a good fit if you have: 2+ years of software engineering or solutions architecture experience Daily active use of Claude Code with deep hands-on expertise 1+ years of customer-facing technical experience (sales, support, consulting, or similar) Strong understanding of software development workflows, toolchains, and developer productivity Experience with various programming languages, IDEs, and development environments Comfort presenting technical concepts and adapting your communication style for different technical audiences Experience gathering requirements and translating them into technical solutions Genuine enthusiasm for AI-powered development tools and their potential impact Strong problem-solving skills with ability to debug and troubleshoot technical issues Self-motivation with ability to manage multiple customer engagements simultaneously Growth mindset with eagerness to learn and adapt in a fast-paced environment Deadline to apply: None. Applications will be reviewed on a rolling basis.The expected salary range for this position is:Annual Salary:$170,000&mdash;$170,000 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. 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

Associate Solutions Architect, 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 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: Plan and lead engagements with independent assessors to earn certifications and attestations important to Anthropic customers. Understand the breadth of Anthropic’s security capabilities and how those capabilities implement common security frameworks, such as NIST 800-171, ISO 27001, and SOC2. Drive programs to improve the ease and rigor of Anthropic’s compliance to its security controls and standards.&nbsp; Write, update and enact policies capturing security and AI safety requirements. Support maintenance of Anthropic’s system of controls through audit, recordkeeping, and communication. You may be a good fit if you: Have experience in audit planning, procedures and related compliance work to achieve FedRAMP and CMMC&nbsp; Are familiar with audit planning and procedures for compliance with ISO certifications, SOC attestations, and similar assessments Have built or significantly improved a common controls framework Write clear and useful security documentation Thrive in a fast-paced and growing organization Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization Have 7+ years of experience in a role with similar responsibilities Strong candidates may also have experience with: Be familiar with AWS / GCP security capabilities, especially identity and access management features. Understand development of large language models (LLMs) Have some experience implementing automated enforcement of security controls Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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

Audit and Compliance

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: Plan and lead engagements with independent assessors to earn certifications and attestations important to Anthropic customers. Understand the breadth of Anthropic’s security capabilities and how those capabilities implement common security frameworks, such as NIST 800-171, ISO 27001, and SOC2. Drive programs to improve the ease and rigor of Anthropic’s compliance to its security controls and standards.&nbsp; Write, update and enact policies capturing security and AI safety requirements. Support maintenance of Anthropic’s system of controls through audit, recordkeeping, and communication. You may be a good fit if you: Have experience in audit planning, procedures and related compliance work to achieve FedRAMP and CMMC&nbsp; Are familiar with audit planning and procedures for compliance with ISO certifications, SOC attestations, and similar assessments Have built or significantly improved a common controls framework Write clear and useful security documentation Thrive in a fast-paced and growing organization Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization Have 7+ years of experience in a role with similar responsibilities Strong candidates may also have experience with: Be familiar with AWS / GCP security capabilities, especially identity and access management features. Understand development of large language models (LLMs) Have some experience implementing automated enforcement of security controls Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:€190.000&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

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 Development Representative at Anthropic, you'll drive the adoption of safe, frontier AI by optimizing our lead management processes and identifying new market opportunities. In this pivotal role, you'll enable our sales team to focus on high-value, revenue-generating activities by leveraging your analytical skills, project management expertise, and strategic thinking. Your role is critical in streamlining our sales pipeline and uncovering untapped potential in the AI market. Responsibilities: Maintain full ownership of pipeline generating activities in your sales territory Collaborate with sales teams to understand their needs and optimize lead handoff processes Manage and prioritize a high volume of inbound leads Conduct initial qualifications for high-potential leads Outbound against strategic prospects to generate high-intent opportunities with Startup and Enterprise teams Support the development and execution of strategic outbound initiatives Provide data-driven insights to inform sales strategies and resource allocation Continuously refine processes to improve efficiency and effectiveness You may be a good fit if you have: 2-3 years of experience in a fast-growing startup, preferably in project management and lead management roles Strong analytical skills with the ability to translate data into actionable insights Experience with Salesforce, HubSpot, and SQL (preferred) Excellent communication and interpersonal skills Ability to work in a fast-paced, dynamic environment Passion for AI/ML and understanding of API-first or consumption-based business models Bachelor's degree in Business, Marketing, Computer Science, or related field 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. 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 Development Representative, APJ

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 mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth. Responsibilities: Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes Institute and design governance workflows to help manage additional capacity request approvals Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis. Tech lead with outside vendors to manage anthropic capacity needs Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure Work closely with TPMs on special efficiency projects and help deliver committed outcomes You may be a good fit if you:&nbsp; 5+ years experience in capacity engineering 5+ years experience in a technical role Intermediate knowledge of various public cloud providers Experience with data modeling for public cloud Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows Experience in scripting and building automation tools&nbsp; Self-disciplined and thrives in fast paced environments Excellent communication skills Familiarity with cloud compute, storage, network, and services Attention to detail and a passion for correctness Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: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. 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

Capacity Engineer, Compute

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 Channel Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Channel Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets. Responsibilities: Strategic Partner Management Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models Business Development &amp; Revenue Generation Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning&nbsp; Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers Enablement &amp; Solution Development Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment&nbsp; Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap Develop and maintain Japanese-language sales tools, technical documentation, and partner portals Facilitate knowledge transfer between Anthropic and Japanese partner technical teams Go-to-Market Leadership Design and execute joint marketing campaigns&nbsp; Develop customer success stories and case studies that resonate with Japanese enterprise buyers Partner with internal teams to localize global GTM strategies for the Japanese market Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.) Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal Foster alignment across departments to ensure successful partner execution and performance You may be a good fit if you have: 7+ years of experience in channel management, strategic alliances, or business development within the Japanese technology market Proven track record managing relationships with Japanese System Integrators and/or technology resellers Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette Native or business-level Japanese language skills&nbsp; Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements Demonstrated ability to navigate complex partner ecosystems and manage channel conflict Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market Exceptional relationship-building skills with ability to establish trust and credibility with executives Strong analytical skills with experience in business planning, forecasting, and performance measurement 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. 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

Channel Account Manager, SI & Reseller

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 exceptional leader to drive our strategic go-to-market partnership with cloud partners. In this pivotal role, you will own and scale our most significant strategic relationships for Anthropic’s acceleration into APJ, responsible for large scale revenue opportunities through our cloud partnerships. You will work closely with senior leadership across both partner organizations to drive joint success, shape strategy, and accelerate the adoption of Anthropic's AI capabilities through our Global Partner ecosystem. You will build and lead the strategy to maximize our cloud partnerships potential while ensuring our solutions are deployed safely and responsibly. This role offers the unique opportunity to shape how frontier AI technology is commercialized at massive scale. In this role, you will drive exponential growth for Anthropic in APJ through our cloud partnerships while shaping how companies adopt and implement frontier AI technology. You'll be responsible for building programs that will scale across APJ markets and segments, and developing the blueprint for how we and our cloud partners in the region will partner to drive joint success. Responsibilities: Develop and execute comprehensive GTM strategy for our cloud partnerships, including co-selling motions, enablement programs, and joint business plans Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Build and maintain executive-level relationships across cloud partners Own forecasting, pipeline development, and revenue targets for the partnership Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute segment-specific sales plays and enablement programs Lead cross-functional efforts with U.S. GTM teams, providing strategic direction and operational excellence for how these teams can partner effectively with APJ cloud partners Lead quarterly and annual business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 10+ years of enterprise technology experience, with at least 7 years in strategic partnerships and/or enterprise sales leadership. Experience leading strategic partnerships for a B2B SaaS Startup strongly preferred.&nbsp; Proven track record of 0-1 building and scaling multi-billion dollar technology partnerships in the APJ region, including cloud providers (e.g. AWS, Google Cloud) Deep understanding of enterprise software and cloud services Experience leading large, cross-functional teams in complex organizational environments Strong executive presence and demonstrated ability to influence senior stakeholders Track record of developing and executing successful co-selling strategies Excellence in strategic planning, business operations, and program management Deep understanding of enterprise sales motions and channel dynamics Ability to balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value &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. 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

Cloud GTM Partnerships Lead, APJ

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 an experienced Corporate Accountant to join our Accounting team at Anthropic. In this role, you will take ownership of critical financial processes, with a special focus on payroll accounting and process improvements for your areas of responsibility. You'll support the financial close process and reporting, while identifying opportunities to streamline and automate key workflows. You will work cross-functionally across the organization and solve complex problems on a regular basis. If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI. Responsibilities: Act as the primary preparer in month-end and quarter-end close calendar, checklist, and reconciliations, and lead the accounting team in monthly and quarterly close flux presentations with management Take full ownership of payroll accounting functions, including processing, reconciliation, compliance, and reporting Design and implement robust accounting procedures, internal controls, and compliance mechanisms that align with accounting policies and regulations Drive the development and deployment of accounting process improvements, with a focus on automation, efficiency, and scaling for company growth Develop and maintain technical accounting expertise in areas including payroll accounting compliance, process and controls Draft comprehensive accounting policies by leveraging technical accounting guidance and collaborating with cross-functional stakeholders Proactively identify inefficiencies in existing accounting processes and design innovative solutions to address them Partner with external auditors to facilitate smooth audit processes and ensure timely completion of deliverables You may be a good fit if you: Have 7+ years of progressive accounting experience, preferably in startup or high-growth environments, including 3+ years of experience in a public company Hold a Bachelor's degree in Accounting or Finance, with CPA certification (or equivalent) preferred Have demonstrated experience with payroll accounting and related compliance requirements Possess a proven track record of successfully leading process improvement initiatives and system implementations Are proficient in NetSuite or similar accounting software, with experience in financial systems integration Exhibit exceptional organizational skills with the ability to prioritize and manage multiple workstreams effectively Have keen attention to detail and unwavering commitment to accuracy Are a self-starter who is able to work independently, identify issues, and implement solutions without significant oversight Possess strong analytical skills with the ability to synthesize complex financial information into actionable insights Have excellent verbal and written communication skills for cross-functional collaboration Strong candidates may have: Experience working in a fast-paced startup environment, particularly in the technology sector Successfully led accounting system implementations or major upgrades Experience with commissions accounting Expertise in developing and documenting streamlined processes that scale with company growth Experience with creating automation solutions for accounting workflows Experience thriving in ambiguity and excelling at developing structure in unstructured environments Proven track record of identifying inefficient processes and implementing innovative solutions A proactive approach to anticipating and solving problems before they escalate Ability to balance strategic thinking with tactical execution Experience training and mentoring junior staff The expected salary range for this position is:Annual Salary:$190,000&mdash;$230,000 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. 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 Accountant, Payroll

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 Customer Success: AI Success Architect (API) at Anthropic, you will be a strategic partner and the go-to technical advisor to our enterprise API customers, helping them harness the full potential of our LLM technology to achieve their business objectives. You'll work with strategic customers by providing technical guidance while driving consumption and optimization of Anthropic's API solutions. Your role focuses on helping customers scale their usage effectively, identify new use cases, and maximize the value of their existing API integrations. Responsibilities: Build trusting, strategic relationships with key customer decision makers Partner with customers to understand their business objectives and technical requirements and guide them toward optimal utilization of Anthropic's API solutions Drive consumption by developing and executing account plans that ground in each customer's business objectives, expand upon use cases that drive toward those objectives, and identify new opportunities for growth Help customers optimize their applications through deeply understanding Anthropic's API capabilities, methodology, and prompting techniques Monitor API usage patterns to mitigate risks, provide recommendations for optimization, and push toward expansion opportunities Lead regular customer stakeholder meetings and quarterly business reviews, focusing on usage patterns, success stories, and growth opportunities Create demonstrations to showcase potential new use cases and capabilities that build upon existing integrations Work cross-functionally with Enterprise Account Executives to identify and pursue expansion opportunities within existing accounts Act as the voice of the customer to Product and Engineering teams, providing detailed feedback on customer needs and feature requirements You may be a good fit if you: 5+ years of experience in technical customer-facing roles (Customer Success, Technical Account Management, Solutions Consultant, or similar) Technical acumen with understanding of APIs, integration concepts, and software development principles Experience explaining and demonstrating technical products to various audiences Understanding of LLMs and AI technologies, with ability to guide customers on optimization best practices Track record of driving technical adoption and consumption in enterprise environments Excellent ability to translate technical concepts for various audiences, from developers to executives Strong project management skills and ability to manage multiple customer relationships Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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: AI Success Architect (API)

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 entrepreneurial Data Operations Manager to spearhead human data collection initiatives that directly power our most advanced AI research capabilities. You'll work across our Coding, Computer Use, and Alignment Science teams to design, build, and scale complex data collection projects that push the boundaries of what's possible with agentic AI systems. This is a highly strategic, 0-to-1 role designed for someone with a strong software engineering background who has evolved into driving business outcomes - think CTO of a startup or technical founder who thrives at the intersection of technology and operations. You'll be responsible for creating novel data collection methodologies, building scalable processes from scratch, and solving complex technical challenges that directly improve Claude's coding and computer use capabilities. You will own "data as the product" for our most critical AI research initiatives, translating cutting-edge research needs into robust, scalable data collection systems. This role requires the technical depth to understand complex AI systems combined with the strategic mindset to build and scale operations that support frontier model development. About the Impact As our Data Operations Manager, you'll be at the forefront of developing the data infrastructure that enables breakthrough advances in AI capabilities. Your work will directly contribute to making AI systems more capable at complex reasoning, coding, and computer use tasks while maintaining our commitment to safety and alignment. This role offers the unique opportunity to shape how frontier AI systems are trained and evaluated, working with some of the most advanced AI research in the world. If you're excited about building something entirely new, have the technical depth to understand complex AI systems, and possess the entrepreneurial drive to create scalable operations from the ground up, we'd love to hear from you. Responsibilities Strategic Leadership &amp; Vision Lead the development and execution of comprehensive data strategies for agentic AI research, including environments for advanced coding capabilities, computer use, and safety evaluations Drive strategic initiatives that directly impact model performance and capabilities, making decisions that affect data quality, operational efficiency, and research velocity Collaborate with research leaders across teams to understand complex technical requirements and translate them into scalable operational frameworks Technical Infrastructure &amp; Innovation Design and build novel data collection systems and evaluation frameworks that enable rigorous measurement of AI system capabilities Architect scalable, automated infrastructure for collecting, processing, and managing high-quality human feedback data across multiple research domains Develop sophisticated tooling and platforms that support complex human-AI interaction scenarios, particularly for coding and computer use tasks Cross-functional Partnership Partner closely with researchers, engineers, and product teams to ensure data collection systems integrate seamlessly with training pipelines and research infrastructure Work directly with technical stakeholders to scope complex projects, resolve technical blockers, and ensure successful implementation of data collection strategies Serve as a technical bridge between research teams and operational execution, ensuring alignment on both technical requirements and business outcomes Operational Excellence &amp; Scaling Build and manage relationships with specialized contractors and vendors who can execute on highly technical data collection requirements Implement robust quality control and verification processes to ensure data usability for training state-of-the-art AI systems Drive continuous improvement in efficiency, quality, and cost-effectiveness while maintaining the highest standards for frontier AI research Project Execution &amp; Management Manage multiple complex, high-stakes projects simultaneously, balancing technical complexity with delivery timelines Create analytics and measurement frameworks to make data-driven decisions about project prioritization and resource allocation Establish processes that enable rapid iteration and experimentation while maintaining rigorous quality standards You may be a good fit if you Have 5+ years of software engineering experience with a proven track record of building complex technical systems Demonstrate entrepreneurial experience as a technical founder, CTO, or in similar 0-to-1 leadership roles where you've built both technology and business processes Are proficient in Python, data systems architecture, and have deep understanding of machine learning workflows and evaluation frameworks Have experience with agentic AI systems, code generation models, large language models, or AI safety research methodologies Possess exceptional project management skills with ability to coordinate complex technical initiatives across multiple teams Are comfortable operating in highly ambiguous environments where you need to define both the "what" and the "how" from scratch Have a strong technical intuition for what makes high-quality training data for advanced AI systems Thrive in fast-paced research environments with shifting priorities and novel technical challenges Are passionate about AI safety and understand the critical importance of high-quality data in building beneficial AI systems Strong candidates may also have Experience building or working with AI agents, computer use capabilities, or advanced coding assistance tools Background in designing and implementing evaluation systems or human-in-the-loop workflows for large language models Experience with reinforcement learning, constitutional AI, or other advanced AI training methodologies Knowledge of sandboxed execution environments, security considerations for AI systems, or automated code evaluation Experience in high-growth startup environments, particularly in technical roles that evolved to include business responsibilities Background collaborating with AI researchers or experience in research-oriented organizations Experience with prompt engineering, red teaming, AI safety evaluation, or related AI safety methodologies Technical expertise in areas like distributed systems, data pipelines, or ML infrastructure Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The expected salary range for this position is: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. 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 Manager, Horizons

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 early member of our Data Science and Analytics team focusing on our API, you will play a critical role in driving the growth and optimization of Anthropic's API products that power thousands of developers and enterprises building with AI. You'll work at the intersection of product strategy, customer insights, and revenue optimization to help scale our API platform from millions to billions of API calls while maintaining our commitment to safety and reliability. You will partner closely with product, engineering, and go-to-market teams to understand developer and enterprise customer behavior, identify growth opportunities, and drive data-informed decisions that shape our API roadmap. This role offers a unique opportunity to influence how AI is deployed at scale across industries while working with cutting-edge language models and developer tools. Responsibilities: API Product Analytics: Deep dive into API usage patterns, developer adoption funnels, and enterprise customer behavior to provide actionable insights that drive product strategy and feature prioritization Revenue &amp; Retention Analysis: Analyze customer lifecycle metrics, revenue retention patterns, and usage-based billing dynamics to identify opportunities for growth and reduce churn across our API customer base Developer Experience Optimization: Design and analyze experiments to improve API adoption, reduce time-to-value for developers, and enhance the overall developer experience across our platform ecosystem Customer Segmentation &amp; Insights: Build sophisticated models to segment API customers by use case, company size, and behavioral patterns to inform targeted product development and go-to-market strategies Cross-Platform Analysis: Analyze customer behavior across Anthropic's ecosystem (1P API, Bedrock, Vertex AI) to understand platform preferences, switching patterns, and optimization opportunities Experimentation &amp; A/B Testing: Design, execute, and analyze controlled experiments on API features, pricing strategies, and developer onboarding flows to drive measurable improvements in key metrics Predictive Modeling: Develop models to forecast API usage, predict customer growth potential, and identify early signals of expansion or churn risk Enterprise Customer Intelligence: Partner with sales and customer success teams to analyze enterprise customer usage patterns, measure feature adoption, and provide insights that inform account strategy You may be a good fit if you: Have 6+ years of experience in data science or analytics roles, with significant experience in API products, developer tools, or B2B SaaS platforms Have 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy Possess deep expertise in Python, SQL, and statistical analysis, with experience analyzing usage-based billing models and API consumption patterns Have experience with enterprise customer analytics, including customer lifecycle modeling, retention analysis, and revenue optimization Understand developer ecosystems and have worked with API metrics such as adoption rates, integration patterns, rate limiting impacts, and developer onboarding funnels Have a track record of designing and analyzing A/B tests and controlled experiments in technical product environments Excel at translating complex API usage data into clear, actionable insights for both technical and business stakeholders Demonstrate a bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress Have experience working with high-volume, real-time data systems and understanding the technical constraints that inform product decisions Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Background in analyzing multi-platform ecosystems (cloud providers, marketplaces, etc.) and understanding platform dynamics Experience with usage-based pricing models, API rate limiting strategies, and developer monetization Knowledge of enterprise sales cycles and experience supporting B2B sales teams with data insights Familiarity with cloud platforms (AWS Bedrock, Google Vertex AI) and their impact on customer behavior Experience building and maintaining data infrastructure for high-scale API products Background in customer research methodologies and survey design for developer communities The expected salary range for this position is:Annual Salary:$275,000&mdash;$355,000 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. 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 Scientist, API

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 early member of our Data Science and Analytics team supporting Claude Code, you will play a critical role in shaping the future of AI-powered developer tools. Claude Code is Anthropic's command line tool that enables developers to delegate coding tasks directly to Claude from their terminal, representing a new frontier in human-AI collaboration for software development. You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience. This role offers a unique opportunity to influence the development of cutting-edge AI tooling while working with some of the most sophisticated language models in the world. You'll help establish data foundations for a rapidly growing product in the emerging AI-assisted development space. Responsibilities: Deep dive into how developers use Claude Code across different programming languages, project types, and workflows to provide insights that inform product strategy and feature development Design and implement metrics to quantify how Claude Code affects developer productivity, code quality, and development velocity across different use cases and skill levels Analyze patterns in human-AI collaboration within coding workflows, identifying opportunities to improve the handoff between developers and Claude for more effective task delegation Develop hypotheses about product changes, design controlled experiments with developer users, and analyze results to guide feature prioritization and development Identify friction points in the Claude Code user journey and provide data-driven recommendations to improve onboarding, retention, and long-term engagement Build robust measurement frameworks to understand CLI adoption patterns, feature utilization, and user segmentation across different developer personas and organizations Partner with engineering to build experimentation capabilities tailored to developer tools, accounting for the unique challenges of measuring productivity and satisfaction in coding workflows Establish foundational data practices and infrastructure to support rapid iteration and decision-making as the Claude Code product scales You may be a good fit if you: Have 5+ years of experience in data science or analytics roles with significant focus on product analytics Have experience working with developer tools, IDEs, command line interfaces, or other technical products used by software engineers Are passionate about AI-assisted development and excited about the potential for AI to enhance developer productivity and creativity Have expertise in Python, SQL, and data visualization tools, with comfort working in command line environments Have experience measuring productivity, engagement, and satisfaction metrics for technical users or B2B products Possess strong instincts for what drives developer adoption and retention of technical tools Have a bias for action and pragmatism, comfortable making decisions with incomplete information in a fast-moving environment Thrive in ambiguity and take initiative to create clarity and drive progress on undefined problems Have experience turning complex technical usage patterns into clear, actionable insights for product and engineering teams Demonstrate exceptional written communication skills and ability to present findings to technical and non-technical stakeholders Strong candidates may also have: Experience with software development workflows, version control systems, and common developer tools Background in developer experience research or working with technical communities Familiarity with AI/ML model outputs and experience analyzing human-AI interaction patterns Experience with command line tools, terminal-based workflows, and developer productivity measurement Understanding of software development lifecycle metrics and engineering productivity frameworks Experience working at developer-focused companies or on products targeting software engineers Knowledge of programming languages and ability to understand code-related usage patterns Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$275,000&mdash;$355,000 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. 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 Scientist, 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 an early member of our Data Science team, you will play a crucial role in ensuring our AI systems deliver exceptional user experiences through reliable, low-latency performance. You'll be at the intersection of data science and infrastructure, using rigorous analysis to understand how platform performance impacts user behavior and identifying high-impact opportunities to improve our systems' reliability and responsiveness. Your work will directly influence how millions of users experience Claude and our other AI systems. You'll quantify user sensitivity to latency, reliability, errors, and refusal rates, then translate these insights into actionable recommendations that drive meaningful improvements to our platform infrastructure. This role offers the unique opportunity to shape the technical foundation that enables safe, frontier AI to scale globally. Responsibilities: Design and execute comprehensive analyses to understand how latency, reliability, errors, and refusal rates affect user engagement, satisfaction, and retention across our platform Identify and prioritize high-impact infrastructure improvements by analyzing user behavior patterns, system performance metrics, and the relationship between technical performance and business outcomes Develop robust methodologies to measure platform reliability and performance, including defining key metrics, establishing baselines, and creating monitoring systems that enable proactive optimization Collaborate with engineering teams to design A/B tests and controlled experiments that measure the impact of platform improvements on user experience and system performance Investigate performance anomalies, conduct root cause analysis of reliability issues, and provide data-driven insights to guide engineering priorities and architectural decisions Work closely with Platform Engineering, Product, and Research teams to translate technical performance data into user experience insights and strategic recommendations Build models to forecast platform capacity needs, predict potential reliability issues, and optimize resource allocation to maintain optimal performance at scale Present complex technical analyses and recommendations to both technical and non-technical stakeholders, including engineering leadership and executive teams You may be a good fit if you have: Advanced degree in Statistics, Computer Science, Engineering, Mathematics, or related quantitative field, with 5+ years of hands-on data science experience Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics Expertise in experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments Strong skills in Python, SQL, and data analysis tools, with experience working with large datasets and real-time streaming data Experience translating technical performance metrics into user experience insights, including understanding how system performance affects user engagement and satisfaction Proven ability to work effectively with engineering teams and translate complex technical analyses into actionable recommendations for diverse audiences Track record of using data science to drive significant improvements in system performance, user experience, or business outcomes Strong candidates may also have: Hands-on experience with observability tools, APM systems, and infrastructure monitoring platforms (e.g., Prometheus, Grafana, DataDog) Experience with machine learning infrastructure, model serving, and understanding the unique performance characteristics of AI/ML systems Familiarity with SRE practices, error budgets, SLOs/SLIs, and reliability engineering principles Experience analyzing performance of real-time or near-real-time systems, including understanding of latency distributions and tail behavior Background in user behavior analysis, growth metrics, or product analytics, particularly in understanding how technical performance drives user outcomes Direct experience working with platform or infrastructure teams in high-scale technology environments The expected salary range for this position is:Annual Salary:$275,000&mdash;$355,000 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. 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 Scientist, Platform (Reliability/Latency/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 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. Responsibilities: 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 Operate our threat intelligence program and maintain relationships with external security partners and information sharing communities Continuously drive capability maturity across the detection lifecycle, establishing metrics and KPIs to measure effectiveness Who you are: 5+ 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:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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

Detection and Response Engineering 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&nbsp; Anthropic is seeking an exceptional Employment Counsel who will closely partner with our People team, business and technical stakeholders to build and manage employment programs that enable high performers to achieve their best work. The ideal candidate pairs law firm and in-house experience, with the ability to develop scalable processes and collaborate effectively across technical and business teams in a fast-paced and fun environment.&nbsp; Responsibilities:&nbsp; Advise the People team and managers on a wide range of U.S. legal matters, including compensation, benefits, performance management, leaves of absences, and contingent worker issues&nbsp; Implement and manage compliant employment programs to create a culture of high performance, and alignment to Anthropic’s values and People philosophy&nbsp; Craft clear and comprehensive written guidance, policies, and communications that effectively translate complex employment law concepts into actionable frameworks for technical and business stakeholders across the organization Leverage your experience to proactively identify and mitigate employment legal risks Liaise and manage relationships with outside counsel, as necessary Stay up to date on relevant employment laws, regulations, industry trends, and disseminate to key stakeholders these developments and their implications to Anthropic’s mission and business 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 (California or New York preferred) Have at least 8 years of practicing employment law with a combination of experience at a global focused law firm and in-house Are humble, thoughtful, exercise sound judgment and operate at the highest level of integrity&nbsp; Are strategic, flexible, resourceful and solution-oriented&nbsp; Have strong organizational and project management skills, and are able to prioritize and execute on tasks Have exceptional analytical and writing and communication skills. You understand how to succinctly and effectively communicate legal issues to non-lawyers Strong candidates may have: Experience in a tech company or other fast-paced environment Experience advising on international employment legal matters &nbsp; Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York 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. Application Deadline: 9am PT on September 29, 2025. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.The expected salary range for this position is:Annual Salary:$265,000&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. 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

Employment Counsel

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 Since launch, the Anthropic API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. We're looking for an experienced engineering leader to lead our API Experience team, responsible for creating a world-class developer experience for the Anthropic API. The team owns the end-to-end flow for using the Anthropic API, everything from documentation and SDKs to prompt engineering and model customization tools. EMs currently hiring: Developer Experience Our Developer Experience team strives to build best in class experiences for developers building on Claude APIs. This includes our SDKs, documentation, console experiences, and observability. As our platform continues to support more and more complex integrations, the Developer Experience team is obsessed with ensuring that developers have high quality tools to set them up for success. Platform Tools Increasingly complex businesses are building integrations on top of the Claude Developer Platform. The Platform Tools team has a goal to spend time with these customers, learn what they need in order to build the integrations they need to build, and improve the platform to support these use cases. Responsibilities: Lead a team in crafting an industry-defining developer experience for building AI applications Collaborate with product and research teams to define the vision and developer roadmap Create clarity for the team and stakeholders in an ambiguous and evolving environment&nbsp; Work cross functionally to design clear interfaces and processes for shipping products that span many teams Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high performing team You may be a good fit if you have: 5+ years of experience as an engineering manager A background in fullstack development - comfortable diving into various technology stacks frontend, backend, and at times deeper infrastructure. A strong product mindset, able to navigate through ambiguity, and willingness to wear multiple hats (e.g. product management, design) Experience recruiting, scaling, and retaining engineering talent in a high growth environment Excellent leadership and communication skills Demonstrated success in building a culture of belonging, and of product and engineering excellence Startup experience, building products from zero to one Experience building APIs and/or developer products for external developers Strong candidates may also have: Expertise in modern web development stacks (React, Next.js, etc) Experience working on AI/ML products Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp; Location Preference: Preference will be given to candidates based in the SF and Seattle areas as this position is part of an SF based team.The expected salary range for this position is: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. 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, API Product (Several API Teams Hiring)

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 engineering leader to manage our Continuous Integration team that enables engineers to be maximally effective in a&nbsp; secure, safe, fast and high quality way, developing state-of-the-art models and products. You'll lead initiatives to build the best large-scale CI system in the world. Responsibilities: Manage a team of engineers building world-class developer productivity tools and infrastructure Consult with different stakeholders to deeply understand developer needs, identifying potential solutions to support secure and efficient development Set strategy and oversee development of CI test&nbsp; infrastructure, and release processes that enable rapid innovation while maintaining high security standards Hire and coach top technical talent Design processes that help the team operate effectively and continuously improve developer productivity as the organization scales Drive adoption of AI tools to guide developers and increase productivity Ensure seamless integration of model improvements into the development flow Work closely with Researchers as well as Software Engineers, catering to each of their unique needs and identifying potential opportunities to serve both You may be a good fit if you: Have 3+ years experience managing technical teams of more than 6 people Have strong leadership ability; experience managing and growing senior engineers Have passion for developer productivity and tooling Have excellent communication skills to build consensus with stakeholders Possess deep knowledge of modern development practices, source control, CI/CD pipelines, and developer tooling. Are obsessed with security, scalability, and continuous improvement Strong candidates may also have experience with: Experience building tools and environments for AI/ML development Expertise in security and privacy best practices for development infrastructure Experience managing initiatives across multiple products/teams Experience with large scale monorepos and enabling hundreds of developers to collaborate effectively together Deadline to apply: None. Applications will be reviewed on a rolling basis.The expected salary range for this position is: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. 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 - CI 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: At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.&nbsp; We're specifically looking for an Engineering Manager to help us scale the Claude Code team. The ideal candidate loves to use Claude Code, has management experience, and still codes every day. This role requires someone who combines deep and broad technical know-how with leadership experience. Responsibilities: Design, build, and maintain core features across Claude Code's full stack. Spend the majority of effort writing and reviewing code Lead and develop the Claude Code engineering team, including hiring, performance management, career development, and fostering team culture Partner with the other engineering manager to facilitate cross-team alignment, coordinate execution across distributed engineering efforts, and ensure clear communication of technical decisions and priorities Prioritize and develop capabilities that address common enterprise customer needs across multiple use cases, ensuring feature investments deliver broad value. Partner with customers to understand their needs Work closely with researchers, product managers, and designers to translate user needs and research insights into robust technical solutions Stay deeply connected to the developer experience by actively using Claude Code, engaging with both internal and external users, and maintaining expertise in modern development environments, tools, and workflows Ensure high code quality, robust testing, and scalable architecture across all team deliverables while balancing rapid iteration with long-term maintainability and security requirements. Tend to the team's developer experience by maintaining clean development workflows, simple onboarding, and efficient paths from development to production You may be a good fit if you: Have 5+ years of software engineering experience, including 2+ years in engineering management or technical leadership roles Excel at both writing production code and leading engineering teams, with experience shipping complex features from concept to deployment Bring strong technical skills across modern web technologies, cloud infrastructure, and distributed systems Have experience working with enterprise customers and translating their needs into scalable product features Thrive in ambiguous, fast-paced environments and can balance multiple priorities while maintaining team focus Are passionate about developer tools and have deep familiarity with IDEs, development workflows, and what makes engineers productive Value both technical excellence and pragmatic delivery, knowing when to build for the long term vs. ship quickly Strong candidates may also have experience with: Project management for extremely fast-moving projects Mentoring junior team members Leading cross-functional initiatives with demonstrated influence across organizational boundaries Public speaking or presenting technical content Client-facing communication Building widely-used tools for software development, especially CLIs Implementing continuous improvement processes Performance optimization and troubleshooting Evaluating and testing new technologies and coding products Working effectively within expanding organizational frameworks This is an opportunity to shape the future of AI-driven development tools while working alongside top engineers and researchers in the field.The expected salary range for this position is: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. 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 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 an Enterprise Account Executive (Higher Education) at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to educational institutions. You'll drive the adoption of safe, frontier AI by securing strategic deals with colleges, universities, and academic research institutions. You'll leverage your consultative sales expertise in the higher education sector to propel revenue growth while becoming a trusted partner to academic stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in teaching, 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 educational decision-makers. 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. Responsibilities: Win new business and drive revenue for Anthropic within the higher education sector. Navigate complex academic institutions 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 Design and execute innovative sales strategies tailored to higher education procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze education market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within academic departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for educational applications Navigate complex academic stakeholder ecosystems including faculty, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from educational users and conveying academic market needs. Provide insights that strengthen our value proposition for higher education Continuously refine the higher education sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of B2B sales experience in higher education technology, preferably in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within academic institutions and securing strategic deals by understanding both technical requirements and educational use cases Demonstrated ability to navigate academic bureaucracies and procurement processes, building consensus among diverse stakeholders including faculty, administrators, and IT departments Extensive experience negotiating complex agreements within higher education procurement frameworks and policies Proven experience exceeding revenue targets in the education sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various academic audiences, from faculty and researchers to senior administration Deep understanding of higher education buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the education market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in education. You feel strongly about ensuring frontier AI systems are developed safely and ethically for academic use Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$180,000&mdash;$350,000 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. 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, Industries (Higher 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 the role We are seeking an experienced Engineering Manager to lead the Cloud Inference Capacity &amp; Operations team for Vertex. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using GCP. You and your team will optimize the consumption of accelerators. Our team ensures 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 our services can operate 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 high scale, reliable infrastructure systems Collaborate across teams across companies to deeply understand infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving 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 3+ years of engineering management experience Have experience recruiting, scaling, and retaining engineering talent in a high growth environment Have experience scaling 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 with stakeholders at all levels and across companies 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 and comfort with a high degree of collaboration with both internal and external engineers and product managers Demonstrated success building a culture of belonging and engineering excellence Are motivated by developing AI responsibly and safely Strong candidates may also have experience with: Machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL Deployment and capacity management automation Security and privacy best practice expertise The expected salary range for this position is: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. 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

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 At Anthropic, 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: We are hiring an Engineering Manager to lead our Cloud Security team, whose remit is to build and maintain secure foundations for our AI systems. This role focuses on cloud infrastructure and platform services, with particular emphasis on data protection, intuitive access controls, and enabling secure-by-default patterns across our multi-cloud environments. In this role you will: Lead a security engineering team while maintaining deep technical involvement in cloud security architecture across all cloud environments Design and implement comprehensive security controls for model weights, customer data, and training datasets Build secure-by-default infrastructure to create self-service patterns that prevent misconfigurations while enabling engineering velocity Establish continuous attack surface monitoring and automated remediation systems using cloud security posture management tools, custom detection capabilities, and infrastructure-as-code security scanning Partner with product, research, and infrastructure teams to embed security requirements into system design and development workflows from inception through deployment Identify and assess systematic risks across the organization, translating complex security requirements into prioritized roadmaps and actionable engineering work Develop security and reliability metrics and observability systems that measure risk posture, demonstrate security improvements, and inform data-driven security investments Coach and mentor engineers while building a team culture that balances security rigor with development velocity and innovation Who You Are: 4+ years managing security engineering teams with proven track record of team productivity 5+ years hands-on infrastructure security and software engineering experience Deep expertise in securing complex cloud environments, threat modeling, and risk assessment Strong cross-functional collaboration skills, balancing security requirements with business objectives Clear and persuasive communicator in both writing and verbal settings Low ego, high empathy leader who attracts talent and builds diverse, inclusive teams Passionate about developing engineers' careers in a supportive yet challenging environment Experience working with technical internal customers Familiarity with AI safety concepts and frameworks Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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 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: Anthropic is seeking an Engineering Manager to lead our Research Prototyping team, a critical function that bridges cutting-edge AI research and transformative product experiences. As the Engineering Manager for Research Prototyping, you'll create an environment where engineers an designers can rapidly experiment with emerging AI capabilities, validate breakthrough ideas, and accelerate the path from research innovation to user impact. You'll lead a team that operates at the frontier of what's possible with AI, building prototypes that push model capabilities to their limits while generating crucial learnings for both research and product teams. Success in this role requires a 0-to-1 mindset, the ability to coach engineers and designers through the idea maze as they explore the properties and potential of large language models, and the ability to balance rapid experimentation with strategic thinking about AI's transformative potential. About Research Prototyping The Research Prototyping team serves as Anthropic's innovation accelerator, identifying paradigm-shifting AI capabilities and building prototypes that demonstrate their potential. It is the most R&amp;D-org-like of the Product teams, operating with a "fail fast" mentality and accepting high failure rates in exchange for breakthrough discoveries. Prototypes range from internal tools that make researchers more productive to ambitious demos that showcase entirely new AI paradigms. Successful projects may spin out into dedicated product teams or inform critical research directions. Responsibilities: Lead and grow a team of versatile engineers who thrive in 0-to-1 environments and can rapidly prototype across the full stack Partner closely with research teams to identify emerging capabilities with transformative potential and translate them into compelling prototypes Create a culture that embraces experimental failure as a path to breakthrough success, while maintaining momentum through rapid iteration cycles Develop frameworks for evaluating prototype success beyond traditional metrics, focusing on capability breakthroughs and research learnings Build strong partnerships across Product and Research teams to ensure smooth transitions for successful prototypes Champion lightweight, prototype-first development practices that maximize learning velocity Guide the team in building "living evals" that provide rapid feedback loops between product experiences and model development Represent the voice of ambitious, transformative product possibilities in research planning discussions Foster an environment where engineers feel empowered to pursue bold ideas and pivot quickly based on learnings — without falling in love with ideas that are no longer yielding learnings You may be a good fit if you: Have 5+ years of engineering management experience, with significant time leading teams in highly ambiguous, research-oriented environments Excel at managing high-variance outcomes and helping teams navigate the emotional rollercoaster of experimental work Have deep technical expertise across full-stack development, ML/AI systems, and emerging technologies Demonstrate exceptional ability to identify high-potential ideas from a sea of possibilities Can context-switch rapidly between multiple experimental projects while maintaining strategic clarity Have experience translating research breakthroughs into user-facing products or demos Are passionate about pushing the boundaries of what's possible with AI Have strong communication skills to articulate the value of failed experiments and successful breakthroughs alike Care deeply about the societal impacts of advanced AI systems Strong candidates may also have experience with: Building and leading teams focused on emerging technologies or R&amp;D Creating developer tools, AI agents, or other productivity-enhancing systems Working directly with machine learning researchers on productization efforts Managing portfolios of high-risk, high-reward technical projects Building prototyping infrastructure and frameworks that accelerate experimentation Leading through extreme pivots and helping teams maintain morale through failure Creating compelling demos that communicate complex technical capabilities Working with LLMs, multi-agent systems, or other frontier AI technologies Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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, Frontier Prototyping

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 performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.&nbsp; As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.&nbsp; You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. &nbsp; Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety &nbsp; You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field 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 with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience managing teams through periods of rapid growth and change Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective &nbsp; Strong candidates may also have experience with:&nbsp; High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers The expected salary range for this position is:Annual Salary:$425,000&mdash;$560,000 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. 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, Inference

Engineering Manager, ML Acceleration

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 Product Foundations org to lead and grow teams of software engineers working on foundational platform capabilities. You'll be responsible for defining and executing the creation of shared product capabilities at the core of Anthropic's product surfaces, while maintaining clear direction and stability for your team. You'll partner closely with product managers, engineering leadership, talented engineers and research teams to transform emerging AI capabilities into platform capabilities. 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 have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs: Product Platform: We provide shared product capabilities leveraged by Claude.ai, API and other internal teams. You'll lead engineers working on core platform components like rate limiting, LLM sampling and multimodal processing. This team is based in Seattle. Accounts Platform: We build and maintain critical infrastructure that powers identity and authentication across Anthropic's product suite. You'll lead cross-functional platform efforts supporting authentication, identity management, OAuth, Enterprise SSO/SCIM, and key management across Claude.ai, Claude Code, and API users. This team is based in New York. About Product Foundations: Product Foundations serves as an internal capabilities team building product infrastructure, shared components and focusing significant energy on cross functional efforts including reliability, latency and efficiency. Our mandate is to build and maintain the foundational platforms, infrastructure and abstractions that enable Anthropic's products to operate securely, reliably, and efficiently at scale while accelerating product development across the organization. We embed with product engineering teams to provide platform perspective, build shared mvp capabilities, and align to a shared vision for success. Responsibilities: Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development 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 Drive adoption of platform capabilities and learnings to inform company-wide product strategy and planning Represent the platform perspective and roadmap in discussions with research, product, and leadership stakeholders You may be a good fit if you have: Have 3+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments Excel at creating psychological safety 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 with: Building products from zero to one in a startup environment Expertise in modern web development stacks (React, Next.js, etc) Experience working on AI/ML products Experience with identity management, authentication systems, and enterprise security standards Deadline to apply: None. Applications will be reviewed on a rolling basis.The expected salary range for this position is: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. 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, Product Platform & Accounts 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 an experienced engineering leader to build and lead our Public Sector Engineering team as we scale Claude across all levels of government worldwide. This role requires deep expertise in developing mission-critical software solutions that meet the most stringent security, compliance, and operational requirements in the world. As the Engineering Manager for this team, you will work at the intersection of cutting-edge AI capabilities and the most demanding deployment environments, from local and federal agencies to international government partnerships. You'll collaborate closely with product, policy, partnerships, sales, and applied AI teams to deliver solutions that directly influence how democratic institutions deploy and govern advanced AI systems. Responsibilities Build and lead a high-performing team of engineers focused on public sector software solutions and research Define and execute the technical strategy for public sector initiatives, including architecture decisions for airgapped networks, zero-trust security frameworks, and government compliance requirements (FedRAMP High, IL-5) Lead technical delivery of specialized capabilities including workflow automation and MCP integrations with government systems Collaborate very closely with research on AI models for government applications and workflows Create clarity and technical direction in a fast-moving environment with unique constraints You may be a good fit if you have 5+ years of experience as a product-minded engineering manager, with at least 3 years leading teams building software for enterprise or government Strong technical background with proven success building and shipping applications that meet the highest security and compliance standards Experience integrating and working with AI/ML models and understanding their capabilities Experience recruiting, scaling, and retaining engineering talent in a high-growth environment Excellent leadership and communication skills, with ability to work effectively across functions Strong candidates may also have Startup experience, particularly in scaling products from zero to one Experience partnering with sales, customer success, and professional services teams to drive product adoption Experience with government security frameworks The expected salary range for this position is: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. 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, 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.About Anthropic Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. Our mission is to ensure that artificial intelligence benefits all of humanity. We have a staggering amount of work ahead, which means you have an unprecedented opportunity to shape the future of AI while doing the most important work of your career. About the Role We are seeking a Security Engineering Manager to lead our Secure Frameworks team, which builds high-leverage security frameworks and libraries that make secure development easy and prevent entire classes of vulnerabilities through careful design. You'll collaborate closely with teams and leaders across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems that empower teams to work securely without becoming security experts themselves. Responsibilities: Design frameworks and libraries that enable secure handling of sensitive data including model weights, customer data, and training datasets Own what you build completely; ensuring outstanding user experience, proactive monitoring, and responsive support Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond your team Partner with product, research, and infrastructure teams, as well as other Security teams to ensure frameworks integrate smoothly with lower-layer security controls&nbsp; Make strategic decisions about which frameworks to build based on security risk and translate into prioritized roadmaps Scale the team's impact from primarily supporting researchers today to enabling the broader product engineering organization as Anthropic grows Define success metrics around framework adoption and impact - the team succeeds when engineers naturally reach for Secure Frameworks' tools rather than building security solutions from scratch Manage and grow a team of engineers to deliver high-impact projects that balance security rigor with development velocity You may be a good fit if you: 5+ years managing security engineering teams with proven track record of team productivity 5+ years hands-on security and software engineering experience Deep expertise in securing complex architectures, threat modeling, and risk assessment with ability to evaluate security tradeoffs and make risk-based decisions Strong cross-functional collaboration skills, balancing security requirements with developer experience and velocity Clear and persuasive communicator in both writing and verbal settings 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 Experience working with technical internal customers Familiarity with AI safety concepts and frameworks Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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, Secure Frameworks

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 at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, 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 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. 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 You may be a good fit if you: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process 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 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 Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$210,000&mdash;$350,000 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. 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, 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 As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, 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 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. 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 You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process 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 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 The expected salary range for this position is:Annual Salary:£195,000&mdash;£280,000 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. 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 We're seeking an experienced Enterprise Account Executive to drive adoption of Anthropic's AI solutions across healthcare payors and providers throughout the EMEA markets. In this role, you'll leverage your deep understanding of the healthcare ecosystem to help organizations transform patient care, optimize operations, and improve outcomes through responsible AI implementation. Responsibilities: Develop and execute strategic sales plans to drive adoption of Anthropic's AI solutions within payor and provider organizations Build and maintain relationships with key decision-makers in major healthcare systems, health plans, and integrated delivery networks Partner with our HCLS Applied AI team to articulate technical capabilities and develop compelling value propositions for healthcare-specific applications Identify and qualify new opportunities through discovery calls, demonstrations, and collaborative problem-solving sessions Navigate complex buying processes, negotiate contracts, and close enterprise deals Leverage our strategic partnerships (including AWS) to expand our reach in the healthcare market Monitor and report on sales pipeline, market trends, and competitive landscape Capture and communicate industry-specific requirements to inform product development Represent Anthropic at healthcare industry events and conferences Collaborate cross-functionally to ensure our solutions address healthcare-specific challenges around data privacy, security, and regulatory compliance You may be a good fit if you have: 8+ years of enterprise sales experience within the UK/EMEA market, with at least 5 years selling technology solutions to healthcare payors and providers Proven track record of exceeding quota and closing complex enterprise deals in the healthcare sector Deep understanding of healthcare industry dynamics, including revenue cycle management, value-based care models, population health, and digital transformation initiatives Experience navigating lengthy procurement cycles and multi-stakeholder decision processes Strong relationships with senior executives in payor and provider organizations Ability to translate technical capabilities into business value and ROI Experience collaborating with technical teams to develop tailored solutions Excellent communication and presentation skills Knowledge of healthcare data privacy regulations (GDPR, etc.) and security requirements The expected salary range for this position is:Annual Salary:£195,000&mdash;£280,000 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. 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, EMEA Industries (Healthcare & Life Sciences)

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 Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and 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 help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR/DFAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 7+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$180,000&mdash;$350,000 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. 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, Federal Civilian 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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, 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 financial decision-makers. 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. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions 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 Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience specializing in financial services technology, with proven expertise in SaaS platforms, API solutions, and emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use The expected salary range for this position is:Annual Salary:£195,000&mdash;£280,000 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. 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, Financial 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. About the role As an Enterprise Account Executive at Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen 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, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams focused on sector-specific solutions and strategies. This structure enables us to develop deeper domain expertise and a more prescriptive sales approach focused on the buyer and adoption journey for customers. This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on. You should be passionate about developing industry expertise, collaborating cross-functionally, and executing on our approach to the market. By driving expansion within key accounts and acquiring new logos in strategic verticals, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Break into new accounts and cross-sell into existing business alongside our team of Account Executives Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options Prioritize organizations that can serve as lighthouse customers and references within their industries Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 5+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process 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 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 Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$180,000&mdash;$350,000 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. 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, 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 the role We're seeking an experienced Enterprise Account Executive to drive adoption of Anthropic's AI solutions across healthcare payors and providers. In this role, you'll leverage your deep understanding of the healthcare ecosystem to help organizations transform patient care, optimize operations, and improve outcomes through responsible AI implementation. Responsibilities: Develop and execute strategic sales plans to drive adoption of Anthropic's AI solutions within payor and provider organizations Build and maintain relationships with key decision-makers in major healthcare systems, health plans, and integrated delivery networks Partner with our HCLS Applied AI team to articulate technical capabilities and develop compelling value propositions for healthcare-specific applications Identify and qualify new opportunities through discovery calls, demonstrations, and collaborative problem-solving sessions Navigate complex buying processes, negotiate contracts, and close enterprise deals Leverage our strategic partnerships (including AWS) to expand our reach in the healthcare market Monitor and report on sales pipeline, market trends, and competitive landscape Capture and communicate industry-specific requirements to inform product development Represent Anthropic at healthcare industry events and conferences Collaborate cross-functionally to ensure our solutions address healthcare-specific challenges around data privacy, security, and regulatory compliance You may be a good fit if you have: 7+ years of enterprise sales experience, with at least 5 years selling technology solutions to healthcare payers and providers Proven track record of exceeding quota and closing complex enterprise deals ($1M+) in the healthcare sector Deep understanding of healthcare industry dynamics, including revenue cycle management, value-based care models, population health, and digital transformation initiatives Experience navigating lengthy procurement cycles and multi-stakeholder decision processes Strong relationships with senior executives in payor and provider organizations Ability to translate technical capabilities into business value and ROI Experience collaborating with technical teams to develop tailored solutions Excellent communication and presentation skills Knowledge of healthcare data privacy regulations (HIPAA, etc.) and security requirements Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp; &nbsp;The expected salary range for this position is:Annual Salary:$280,000&mdash;$350,000 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. 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, Industries (Healthcare & Life Sciences)

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 based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Japanese corporations to help them transform their businesses with Anthropic's AI solutions. Responsibilities: Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Japan Build and execute territory plans, identifying high-value opportunities in key Japanese industries including financial services, healthcare, technology, and manufacturing Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements Identify new use cases and contribute to Japan go-to-market strategy, providing critical feedback to shape product roadmap and regional approach Translate technical AI capabilities into compelling business value propositions tailored to Japanese market needs You may be a good fit if you have: 8+ years of enterprise sales experience in Japan driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Native-level Japanese fluency and business-level English required A track record of managing complex sales cycles and securing strategic deals in the Japanese market by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate Japanese enterprise stakeholder ecosystems, building consensus through relationship-building and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in Japanese corporate environments Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills in both Japanese and English, with the ability to present confidently and build connections across all customer levels, from individual contributors 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 who thrives in ambiguous, startup-like environments A strategic, analytical approach to assessing Japanese markets combined with creative, tactical execution to capture opportunities in key industries Deep understanding of Japanese business culture, enterprise buying processes, and regulatory landscape A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Strong candidates may have: Experience selling emerging technologies (AI/ML, cloud platforms, or data analytics) to Japanese enterprises Established relationships with senior executives at major Japanese corporations Experience navigating Japanese procurement processes and working with system integrators Understanding of AI/ML concepts and ability to discuss technical architectures What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Opportunity to shape the future of AI adoption in Japan Access to cutting-edge AI technology and world-class research team 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. 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, Japan

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 When you look at the responses from today's leading language models, do you wonder, "How do we align these systems with human values and preferences?" or “How can we improve an LLM’s abilities beyond what a human can achieve?” The Reward Modeling team at Anthropic is working to develop sophisticated techniques for teaching AI systems to understand and embody human values, as well as to push forward AI capabilities. We believe that robust reward models are critical to training AI systems that advance the frontier of safety and capabilities. We're looking for engineers to join our efforts to push forward the science of reward modeling Note: For this role, we conduct all interviews in Python. We have filled our headcount for 2025. However, we are leaving this form open as an expression of interest since we expect to be growing the team in the future, and we will review your application when we do. As such, you may not hear back on your application to this team until the new year Responsibilities: Help implement novel reward modeling architectures and techniques Optimize training pipelines Build and optimize data pipelines Collaborate across teams to integrate reward modeling advances into production systems Communicate engineering progress through internal documentation and potential publications You may be a good fit if you: Have a strong engineering background in machine learning, with demonstrable expertise in preference learning, reinforcement learning, deep learning, or related areas Are proficient in Python, deep learning frameworks, and distributed computing Are familiar with modern LLM architectures and alignment techniques Have experience with improving model training pipelines and building data pipelines Are comfortable with the experimental nature of frontier AI research View research and engineering as complementary disciplines and are willing to implement some research ideas Can clearly communicate complex technical concepts and research findings Have a deep interest in AI alignment and safety Proficiency in Python and experience with deep learning frameworks is required for this role Experience with reward models is not required, but experience with LLMs or other large models is a significant plus. We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems.The expected salary range for this position is:Annual Salary:$315,000&mdash;$340,000 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. 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

[Expression of Interest] Research Engineer, Reward Models

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 Research Scientist/Engineer on the Alignment Finetuning team at Anthropic, you'll lead the development and implementation of techniques aimed at training language models that are more aligned with human values: that demonstrate better moral reasoning, improved honesty, and good character. You'll work to develop novel finetuning techniques and to use these to demonstrably improve model behavior. Note: For this role, we conduct all interviews in Python. We have filled our headcount for 2025. However, we are leaving this form open as an expression of interest since we expect to be growing the team in the future, and we will review your application when we do. As such, you may not hear back on your application to this team until the new year Responsibilities: Develop and implement novel finetuning techniques using synthetic data generation and advanced training pipelines Use these to train models to have better alignment properties including honesty, character, and harmlessness Create and maintain evaluation frameworks to measure alignment properties in models Collaborate across teams to integrate alignment improvements into production models Develop processes to help automate and scale the work of the team You may be a good fit if you: Have an MS/PhD in Computer Science, ML, or related field, or equivalent experience Possess strong programming skills, especially in Python Have experience with ML model training and experimentation Have a track record of implementing ML research Demonstrate strong analytical skills for interpreting experimental results Have experience with ML metrics and evaluation frameworks Excel at turning research ideas into working code Can identify and resolve practical implementation challenges Strong candidates may also have: Experience with language model finetuning Background in AI alignment research Published work in ML or alignment Experience with synthetic data generation Familiarity with techniques like RLHF, constitutional AI, and reward modeling Track record of designing and implementing novel training approaches Experience with model behavior evaluation and improvement The expected salary range for this position is:Annual Salary:$315,000&mdash;$340,000 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. 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

[Expression of Interest] Research Scientist/Engineer, Alignment Finetuning

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 early member of our Finance Analytics and BI team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by informing our product and compute strategy as we deploy safe, frontier AI at scale to the world.&nbsp; You will be primarily focused on data and decision science for Product and Compute Finance &amp; Strategy, where you will use advanced analytics to shape strategic decision-making. You'll work at the intersection of finance, analytics, and product to influencing pricing &amp; packaging strategy, enable robust product and P&amp;L frameworks, and optimize our cloud spend. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Responsibilities Establish the foundation for product and compute financial analytics, creating scalable frameworks for unit economics and cost attribution In partnership with Finance, build solutions to support product pricing and packaging decisions, product P&amp;L management, and margin optimization strategies Partner closely with Finance &amp; Strategy teams on analytical deep dives, and collaborate with Data Science, Analytics Engineering, Compute, and Product to surface actionable recommendations Develop an understanding of and measurement framework for infrastructure spend investment ROI Translate complex cost structures and product economics into clear recommendations for business partners Champion data-informed decision making for product investment and compute resource allocation and acquisition You may be a good fit if you have: 6+ years of experience in analytics, decision science, or business data science roles 3+ years of experience in product analytics, unit economics modeling, or infrastructure cost optimization with proven business impact&nbsp; A passion for the company's mission of building helpful, honest, and harmless AI Expertise in SQL, Python, and data visualization tools Experience with cloud computing platforms (AWS, GCP) and their cost structures A bias for action and urgency, not letting perfect be the enemy of the effective A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress A deep curiosity and energy for pulling the thread on hard questions Experience in turning open questions and data into concise and insightful analysis Proven ability to build strong cross-functional partnerships and act as a trusted advisor to stakeholders The expected salary range for this position is: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. 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 Analytics, Product & Compute

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 Public Sector 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 for the Public Sector 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, deal desk and marketing spend&nbsp; 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; Finance Business Partnership experience with Public Sector sales 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 The expected salary range for this position is: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. 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 - 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.About the role: We are seeking a Senior Finance Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for managing the NetSuite financial ERP and its interactions with other platforms, ensuring the health, configuration, and change management processes of these systems to support our growing global business. You will drive customizations and integrations into the ERP system, collaborating closely with Data Infrastructure, Business Technology, and Engineering teams to implement innovative technology solutions. This role offers the opportunity to take full ownership of complex problems, working with passionate engineers and stakeholders to architect and implement innovative solutions that propel Anthropic towards its mission of creating safe and beneficial AI systems. Responsibilities: NetSuite ERP Management: Own the day-to-day operations, health monitoring, configuration, and change management processes of our NetSuite financial ERP system and its interactions with other platforms Customizations &amp; Integrations: Drive customizations and integrations into the ERP system, collaborating closely with Data Infrastructure, Business Technology, and Engineering teams to deliver enhanced functionality Complex Problem Ownership: Take full ownership of complex technical problems, collaborating with passionate engineers and stakeholders with diverse perspectives to architect and implement solutions that propel Anthropic towards its objectives Integration Troubleshooting: Troubleshoot and improve integrations between NetSuite and subledger systems, collaborating closely with software engineers and stakeholders to ensure data completeness, timeliness, and integrity Requirements &amp; Solution Design: Partner with stakeholders to gather requirements, design solutions, and implement new features and customizations to streamline processes and support our growth User Experience Optimization: Work with users to understand their needs and challenges, identify and execute enhancements, and resolve issues to optimize user experience System Upgrades &amp; Releases: Manage system upgrades and releases to ensure minimal disruption to operations while maintaining system stability and performance Process Automation: Identify opportunities to automate manual finance processes through system integration, configuration, and AI technologies Performance Monitoring: Monitor system performance, troubleshoot issues, and implement improvements to ensure reliability and efficiency Documentation &amp; Training: Create comprehensive technical documentation and provide training to finance teams on system functionality and best practices Security &amp; Compliance: Ensure finance systems maintain appropriate security controls and compliance with regulatory requirements Innovation &amp; Strategy: Stay current with emerging finance technology trends and recommend innovative solutions to enhance our systems capabilities You may be a good fit if you: Have 8+ years of experience in finance systems engineering, ERP administration, or related technical roles Possess deep expertise with NetSuite ERP system, including configuration, customization, and integration capabilities Have strong experience with system integration, ETL processes (Airflow, DBT), and data management in finance environments Technical expertise in Python scripting, RESTful API development, and iPaaS enterprise integration platforms for financial systems automation Are skilled in troubleshooting complex integrations between ERP and subledger systems Have experience working with cross-functional technical teams including Data Infrastructure, Business Technology, and Engineering Possess strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions Have experience with financial processes including close, reporting, budgeting, and compliance workflows Have strong communication skills and can effectively collaborate with both technical and business stakeholders Are comfortable working in a fast-paced, high-growth environment with evolving requirements Take ownership of complex problems and can work collaboratively with diverse stakeholders to find solutions Strong candidates may also have: Experience with modern cloud-based finance platforms and SaaS integrations Experience with other SaaS ERP systems besides NetSuite, such as Oracle Fusion and Workday&nbsp; Knowledge of financial reporting standards (GAAP, IFRS) and how they translate to system requirements Experience with business intelligence tools and financial data visualization platforms Background in software development or systems engineering outside of finance Experience with infrastructure as code and DevOps practices Familiarity with AI/ML applications in finance and accounting Understanding of startup financial operations and scaling challenges Experience with financial planning and analysis (FP&amp;A) systems and processes Knowledge of procurement, expense management, and revenue recognition systems Experience in technology companies or other high-growth environments The expected salary range for this position is: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. 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

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 Finance Systems professional to serve as the primary administrator and developer for our Enterprise Performance Management (EPM) systems. In this individual contributor role, you will personally develop, maintain, and optimize sophisticated solutions that support our financial planning, budgeting, forecasting, and reporting processes. This position requires someone who excels at hands-on systems administration and development while contributing technical architecting expertise to support complex business requirements. As our EPM platform administrator, you will own the day-to-day operations of mission-critical enterprise planning and analytics systems that support full-year budgeting, daily/monthly/quarterly forecasting, long-range modeling, management reporting, performance measurement, and earnings support. You will work 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. Responsibilities: Systems Administration and Development Serve as the primary administrator for our EPM system (Pigment), ensuring optimal functionality, performance, and reliability through daily operational oversight Develop, maintain, and enhance EPM models to support comprehensive financial planning, budgeting, forecasting, and reporting processes Execute hands-on development of planning and analytics solutions for various business units, focusing on quick and scalable implementations Ensure the integrity and accuracy of data within EPM systems through systematic monitoring, validation, and quality control processes Manage financial data integrations across Pigment, NetSuite, and other source systems, ensuring seamless data flow and consistency Provide ongoing system maintenance, updates, and performance optimization to support growing user base and data volumes Develop and maintain comprehensive system documentation, including technical specifications, user guides, and operational procedures Technical Integration and Data Management Project manage EPM integrations with enterprise systems, working with technical teams to ensure robust connectivity and data accuracy Oversee system hierarchy, security configurations, and metadata management to align with business requirements and compliance standards Partner with Accounting, Procurement, and other teams to implement and maintain integrations between EPM systems and enterprise applications Execute technical workstreams to enhance existing processes with focus on performance improvement and system optimization Collaborate with third-party contractors and vendors on technical implementations and system support Advanced Planning and Analytics Development Build and maintain flexible performance tools and services to enable closed-loop performance management and effective decision-making Implement and optimize financial models for P&amp;L and cash flow management, improving predictability and analytical insight Develop scenario planning capabilities and predictive analytics features that support strategic planning initiatives Collaborate with the BI and Analytics team to design and implement reporting and analytics strategies Build scalable financial planning and modeling capabilities to enable best-in-class budgeting, forecasting, and long-range planning processes User Support and Stakeholder Collaboration Serve as the primary technical point of contact for EPM system users across Finance, FP&amp;A, and other business units Provide comprehensive technical and functional training and support to end-users on system functionality and best practices Lead change management initiatives to ensure successful system adoption and user engagement across the organization Translate business requirements into technical specifications and system configurations Act as subject matter expert for troubleshooting system issues and implementing performance improvements System Architecture Support Contribute to long-term systems roadmap development in collaboration with the ERP/Accounting systems lead, providing technical input on system enhancements and strategic improvements to ensure a holistic and scalable systems architecture Design technical solutions based on stakeholder requirements, translating business needs into system specifications Research and develop innovative solutions including web data connectors, custom applications, and integration technologies Provide technical expertise on system architecture decisions and evaluate new technologies for potential implementation Exercise technical judgment in designing solutions and analyzing system outputs for accuracy and performance optimization You may be a good fit if you: Have 8+ years of experience in hands-on EPM systems administration and development with deep technical expertise Are highly skilled at day-to-day system administration, maintenance, and development work with proven ability to work independently Have extensive hands-on experience with EPM platforms (Pigment, Anaplan, TM1, Adaptive Planning) with focus on system operations and development Possess strong technical knowledge of system integrations, data management, and financial planning system operations Demonstrate expertise in data validation, system performance optimization, and operational troubleshooting Have proven success maintaining complex finance systems with excellent technical problem-solving abilities Show experience working with Finance teams and stakeholders to implement technical solutions that meet business requirements Are proficient in system documentation, user training, and technical support processes Strong candidates may have: Technical degree in Information Systems, Computer Science, or equivalent hands-on experience in financial systems Experience at high-growth technology companies in EPM systems administration or development roles Background in maintaining EPM solutions for companies with complex financial planning requirements Experience with cloud-based enterprise systems, APIs, and modern integration technologies Track record of personally maintaining and enhancing financial systems that support large user bases Experience with scripting, automation, and custom development within EPM platforms Technical expertise in developing driver-based planning models and complex financial calculations Familiarity with financial planning processes and best practices from a systems perspective The expected salary range for this position is: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. 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

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 want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Reinforcement Learning Engineering team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems.&nbsp; Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You’ll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you: Have 4+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large scale distributed systems Large scale LLM training Python Implementing LLM finetuning algorithms, such as RLHF Representative projects: Profiling our reinforcement learning pipeline to find opportunities for improvement Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline Making changes to our finetuning systems so they work on new model architectures Building instrumentation to detect and eliminate Python GIL contention in our training code Diagnosing why training runs have started slowing down after some number of steps, and fixing it Implementing a stable, fast version of a new training algorithm proposed by a researcher Deadline to apply: None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$300,000&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. 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

Machine Learning Systems Engineer, RL 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 the role We are seeking a skilled Finance Systems PMO Lead to join our Finance Systems team at Anthropic. In this role, you will own the strategic management of our entire Finance Systems project portfolio, establishing and executing governance frameworks that enable our finance organization to scale efficiently. You will be responsible for driving project excellence across our financial technology initiatives, ensuring alignment with business objectives, and maintaining visibility into project health and outcomes. This is a critical role that will directly impact our ability to build scalable financial systems that support Anthropic's rapid growth and mission to create safe AI. Responsibilities: Project Portfolio Management: Own end-to-end management of the Finance Systems project portfolio, including project intake, prioritization, resource allocation, and strategic trade-off decisions Governance Framework Design: Develop and implement comprehensive governance frameworks for project management, including standardized processes for project initiation, prioritization, execution, and closure Status Tracking and Reporting: Establish robust reporting mechanisms to provide clear visibility into project health, milestones, dependencies, and outcomes for leadership and stakeholders Risk Management: Proactively identify, assess, and mitigate project risks across the portfolio, developing contingency plans and escalation procedures Stakeholder Management: Collaborate with cross-functional teams including Finance, Accounting, Engineering, and leadership to ensure alignment and successful project delivery Change Management: Design and execute change management strategies to ensure smooth adoption of new financial systems and processes across the organization Strategic Roadmap Planning: Partner with the Head of Finance Systems to align project priorities with long-term financial technology strategy and business objectives You may be a good fit if you: Have 10+ years of experience in project management, program management, or PMO leadership roles, preferably in finance or technology environments Have extensive experience managing complex technology projects and system implementations Possess strong analytical skills with the ability to synthesize data into actionable insights and recommendations Are skilled at building and maintaining relationships with diverse stakeholders at all levels of an organization Have experience designing and implementing governance frameworks in fast-paced, scaling environments Are proficient in project management tools and methodologies Have excellent communication and presentation skills, with the ability to convey complex project information to both technical and non-technical audiences Demonstrate strong problem-solving abilities and can navigate ambiguity while maintaining focus on delivery Are passionate about building scalable processes that support organizational growth Strong candidates may have: Experience in financial systems implementations (ERP, accounting software, financial planning tools) Background in finance, accounting, or financial operations Experience with change management frameworks and methodologies Knowledge of financial processes including close, reporting, budgeting, and compliance Experience working in high-growth technology companies or startups Familiarity with modern financial technology stack and integration challenges Experience with data visualization and reporting tools Understanding of regulatory requirements and compliance considerations in financial systems The expected salary range for this position is: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. 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 PMO 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. div]:bg-bg-000/50 [&amp;_pre>div]:border-0.5 [&amp;_pre>div]:border-border-400 [&amp;_.ignore-pre-bg>div]:bg-transparent [&amp;>div>div>:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&amp;>div>div>:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> _*]:min-w-0"> _*]:min-w-0"> About the role _*]:min-w-0"> We are seeking an experienced Finance Systems Program Manager with strong Quote to Cash (QTC) domain knowledge to join our Finance Systems team at Anthropic. In this role, you will own the strategic management of our Quote to Cash project portfolio, establishing and executing finance governance frameworks that enable our revenue operations to scale efficiently from lead generation through cash collection. You will be responsible for driving project excellence across our QTC technology initiatives, including quote-to-order systems, billing platforms, revenue recognition systems, and collections management, ensuring alignment with business objectives and maintaining visibility into project health and outcomes. This is a critical role that will directly impact our ability to build scalable QTC infrastructure that supports Anthropic's rapid growth and mission to create safe AI. _*]:min-w-0"> Responsibilities: _*]:min-w-0"> QTC Portfolio Management: Own end-to-end management of the Quote to Cash Systems project portfolio, including quote-to-order implementations, billing platform transformations, revenue recognition system upgrades, and collections automation projects Revenue Operations Excellence: Develop and implement comprehensive governance frameworks for QTC project management, including standardized processes for system integrations, process optimization, stakeholder alignment, and delivery excellence across the revenue lifecycle QTC Program Coordination: Establish robust reporting and monitoring mechanisms for complex QTC program execution spanning quote management systems, billing engines, ERP integrations, and downstream financial reporting systems Risk &amp; Delivery Management: Proactively identify, assess, and mitigate QTC-specific program risks including delivery delays, integration challenges, stakeholder misalignment, and business continuity concerns, developing contingency plans and escalation procedures Cross-Functional QTC Leadership: Lead collaboration with Sales Operations, Revenue Accounting, Customer Support, Legal, and Engineering teams to ensure seamless program alignment and successful delivery across the entire QTC transformation portfolio QTC Change Management: Design and execute comprehensive change management strategies for QTC transformations, ensuring smooth adoption across sales teams, billing operations, and revenue accounting processes throughout the organization QTC Strategic Roadmap: Partner with the Head of Finance Systems to align QTC program priorities with revenue growth strategy, enterprise sales enablement, and public company readiness requirements _*]:min-w-0"> You may be a good fit if you: _*]:min-w-0"> Have 10+ years of experience in program management, PMO leadership, or QTC transformation roles, with strong understanding of quote to cash processes and systems Have extensive experience managing complex QTC technology programs including quote management, billing platforms, revenue recognition systems, and cross-system integrations Possess strong analytical and program management skills with deep understanding of QTC metrics, process optimization, and stakeholder alignment across revenue operations Are skilled at building and maintaining relationships with QTC stakeholders including Sales Operations, Revenue teams, Customer Support, and Billing Operations at all levels of an organization Have experience designing and implementing program governance frameworks in fast-paced, high-growth environments with complex revenue models and multi-system architectures Are proficient in program management methodologies and tools, with solid knowledge of QTC best practices and revenue operations frameworks Have excellent communication and presentation skills, with the ability to convey complex program information to both technical teams and business stakeholders including sales and finance leadership Demonstrate strong problem-solving abilities in managing QTC domain challenges and can navigate complex integrations while maintaining focus on delivery excellence and business outcomes Are passionate about building scalable program management processes that support rapid revenue growth and enterprise transformation initiatives _*]:min-w-0"> Strong candidates may have: _*]:min-w-0"> Experience in QTC program leadership across multiple systems implementations (CPQ, billing platforms, revenue recognition tools) Background in revenue operations, sales operations, or billing operations with hands-on understanding of QTC process challenges and optimization opportunities Knowledge of QTC processes including opportunity management, quote-to-order workflows, billing automation, payment processing, revenue recognition, and collections from a program oversight perspective Experience working in high-growth technology companies managing complex transformations with subscription models, usage-based &nbsp; The expected salary range for this position is: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. 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, QTC Program 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: We are seeking a Variable Compensation Leader to join our Finance team and play a pivotal role in shaping our compensation strategy for the Sales organization. In this strategic position, you will be a key leader within our go-to-market Finance team, working closely with the senior leaders across finance, revops and sales to design incentive compensation structures that align seller&nbsp; behavior with strategy and goals of the business. This role is critical to ensure Anthropic attracts top talent by establishing competitive incentives and rewards programs.&nbsp; As our Finance Variable Compensation Lead, you will serve as the financial anchor developing strategic frameworks, and partnering with executive leadership &amp; revops compensation partners to gain alignment on compensation plans. In addition, you’ll work with Ops teams to ensure accurate reporting is in place to validate payouts and track data needed to understand the effectiveness of the comp plans. This role combines strategic finance and operational excellence to support our mission of developing safe and beneficial AI systems. Responsibilities:&nbsp; Design comprehensive variable compensation strategies that align with Anthropic's business objectives, values, and growth trajectory Partner with executive leadership to gain alignment on plan design principles, structures, and payout methodologies Work with compensation team to analyze market trends and compensation data to ensure our programs remain competitive and effective Establish budgeting processes and expense forecasting models tied to compensation Partner with RevOps team to validate quota and attainment calculations 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 compensation proposals with broader financial strategies and priorities You may be a good fit if you have: Have 10+ years of experience in variable compensation design, administration, or related field, preferably in high-growth technology companies Have deep expertise in GTM incentive plan design principles, including sales compensation, executive incentives, and broad-based variable pay programs Are skilled at translating business strategy into actionable compensation frameworks that drive desired behaviors 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; Experience building variable compensation programs from the ground up in startup or scale-up environments Familiarity with international compensation considerations for global teams Understanding of AI/technology industry compensation trends and practices Logistics: Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: This role is based in the San Francisco office with a hybrid work model requiring 3 days in the office per week. We offer relocation assistance to new employees. Visa sponsorship: 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. 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.The expected salary range for this position is: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. 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 Variable Compensation 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 an experienced Financial Reporting Lead to join our Finance team at Anthropic. In this critical role, you will be responsible for overseeing all aspects of our financial reporting processes, ensuring compliance with US GAAP, and leading the implementation and optimization of our reporting systems. As we continue to scale, you will play a pivotal role in establishing robust reporting frameworks that support our growth while maintaining the highest standards of accuracy and transparency. You will work closely with our Controller, CFO, and cross-functional teams to deliver timely and accurate financial statements, manage external audit processes, and drive continuous improvements in our reporting capabilities. This role offers the opportunity to shape the financial reporting infrastructure of a leading AI company while working at the forefront of transformative technology. Responsibilities: Lead the preparation and review of all external financial reporting, including quarterly and annual financial statements, ensuring full compliance with US GAAP and applicable reporting standards Manage the month-end, quarter-end, and year-end close processes, coordinating with accounting teams to ensure timely and accurate completion Oversee technical accounting research and documentation for complex transactions, including revenue recognition (ASC 606), lease accounting (ASC 842), stock-based compensation (ASC 718), and other relevant standards Lead the implementation and optimization of Workiva for financial reporting, controls documentation, and SOX compliance Serve as the primary liaison with external auditors, managing audit timelines, coordinating responses, and ensuring efficient completion of audit procedures Design and implement internal controls over financial reporting (ICFR) in preparation for potential future public company requirements Partner with the Finance Systems team to ensure seamless integration between ERP systems and reporting platforms Develop and maintain comprehensive accounting policies and procedures documentation Mentor and develop team members, fostering a culture of continuous improvement and technical excellence Collaborate with FP&amp;A and Strategic Finance teams to ensure alignment between management and external reporting Lead special projects including system implementations, process improvements, and reporting automation initiatives You may be a good fit if you: Have 8+ years of progressive accounting and financial reporting experience, with at least 3 years in a leadership role Possess deep expertise in US GAAP and have experience with both AICPA and SEC reporting standards Have hands-on experience leading Workiva implementations and optimizing the platform for financial reporting workflows Are proficient with multiple ERP systems, particularly NetSuite and either Oracle Fusion or Workday Financials Have experience managing SOX compliance programs and working with external auditors Demonstrate exceptional attention to detail while maintaining the ability to see the big picture Excel at translating complex accounting concepts to non-finance stakeholders Thrive in fast-paced, dynamic environments and can adapt quickly to changing priorities Are passionate about building scalable processes and systems that grow with the organization Care about the societal impacts of your work and are excited about Anthropic's mission to build safe, beneficial AI Strong candidates may also have: CPA certification (active or inactive) Big 4 public accounting experience with technology sector clients Experience taking a company through an IPO or working in a public company environment Expertise in emerging accounting standards and their implications for technology companies Knowledge of international accounting standards (IFRS) Experience with other reporting tools such as BlackLine, FloQast, or similar platforms Background in AI/ML companies or other high-growth technology sectors Experience building financial reporting functions from the ground up Advanced Excel and data manipulation skills, including experience with Python or SQL for reporting automation The expected salary range for this position is:Annual Salary:$230,000&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. 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

Financial Reporting 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 Anthropic scales rapidly, we're seeking a Global Onboarding Program Manager to ensure every new "Ant" deeply understands and embodies our mission, culture, and values from day one. This role is critical to translating what makes Anthropic unique—our approach to AI safety and our cultural principles—into experiences that inspire new hires to carry these forward into their work. You'll run our bi-weekly 2-day onboarding program end-to-end while orchestrating across recruiting, workplace, people services, IT, hiring managers, and team-specific onboarding leads. As we expand globally, you'll shape how we deliver exceptional onboarding experiences across distributed offices—whether through centralized programs or tailored regional approaches that maintain our core identity while honoring local contexts. Responsibilities: Own the full onboarding lifecycle: Facilitate live sessions, coordinate logistics, and ensure seamless execution of our 2-day program for new hire cohorts Measure and optimize program impact: In partnership with People Services, design and implement measurement frameworks to track onboarding effectiveness across leading indicators (engagement, knowledge retention, connection building) and lagging indicators (30/60/90-day retention, time-to-productivity, manager satisfaction scores) Build cross-functional partnerships: Collaborate with technical, operational, and people-focused teams to translate diverse needs into cohesive onboarding experiences Drive strategic evolution: Anticipate how onboarding must adapt as we scale, shift business priorities, and expand globally—building contingency plans for variable class sizes and changing requirements Execute with precision: Manage every detail from room setup and AV timing to lunch coordination, buddy assignments, and follow-up workflows Facilitate with energy: Lead training sessions that leave new hires energized and excited about their Anthropic journey Think 6+ months ahead: Stay attuned to business changes, expansion plans, and visa considerations that impact program design You might be a good fit if you: Have proven operational excellence: You've successfully managed complex, multi-stakeholder programs in fast-moving environments Are obsessively detail-oriented: You catch typos others miss, think in contingency plans, and nothing falls through the cracks on your watch Excel at cross-functional collaboration: You naturally translate between engineering, sales, operations, and executive stakeholders, making everyone feel heard and aligned Think strategically about scale: You've navigated hyper-growth environments and understand how to build programs that flex with business needs Bring infectious energy: Your enthusiasm is contagious, and you genuinely enjoy creating memorable experiences for others Operate with humble curiosity: You approach challenges with a generous spirit, always seeking to understand before being understood Strong candidates may also have: Background in global program management, including navigating visa and regional considerations Expertise in both centralized and decentralized onboarding models Experience partnering with executive leadership on program vision and strategy The expected salary range for this position is:Annual Salary:$230,000&mdash;$295,000 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. 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

Global Onboarding Program 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 We are seeking an experienced Global Senior Equity Program Manager to manage Anthropic's equity compensation strategy and operations across all global markets. In this pivotal role, you will design, implement, and manage comprehensive equity programs that attract, retain, and motivate top talent while supporting our mission to develop safe and beneficial AI systems. You'll work closely with cross-functional teams including People, Legal, Finance, and Tax to ensure our equity programs are competitive, compliant, and aligned with our values as a public benefit corporation. As Anthropic continues to scale globally, you will play a critical role in building equity frameworks that support our international expansion while maintaining consistency with our compensation philosophy. This role offers the opportunity to shape equity compensation practices at one of the most important AI safety companies during a period of significant growth. Responsibilities: Oversee daily equity plan operations including grant processing, option exercises, cancellations and cap table management Build and optimize processes for equity transactions while ensuring accuracy and compliance Manage monthly equity reconciliations and reporting Lead demographic and payroll system integrations to streamline equity operations Develop and implement automated processes for tax rate calculations and payroll integration Create scalable workflows that can support our growing headcount and global expansion Provide high-touch service to ensure employees understand their equity compensation Execute simple equity tax calculations in coordination with payroll processing Ensure timely and accurate tax withholding and reporting for equity transactions Support development of equity tax policies and procedures Design and document standard operating procedures for all equity operations Create scalable processes that will support transition to public company requirements Provide guidance and support to managers and employees on equity-related questions and programs You may be a good fit if you have: A Certified Equity Professional (CEP) designation 8+ years of experience in equity administration, stock plan management, or related field Strong knowledge of equity compensation principles (stock options, RSUs) Experience with Shareworks equity management platforms Proficiency in payroll systems integration and tax withholding processes Detail-oriented with strong analytical and problem-solving skills Excellent communication skills with ability to explain complex equity concepts to employees Strong candidates may have: Experience at high-growth technology companies during scaling phases Knowledge of US and international equity compensation and tax requirements Excellent project management skills with a track record of leading complex, cross-functional initiatives Advanced Excel/Google Sheets skills and experience with modeling The expected salary range for this position is:Annual Salary:$190,000&mdash;$230,000 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. 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

Global Senior Equity Program 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 the role Anthropic is seeking a top performer to drive our strategic growth with Google Cloud. You'll play a critical role in managing this key relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. In this role, you'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Responsibilities: Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans Develop forecasting models, build pipeline, and set revenue targets for the partnership Build and maintain cross-functional relationships across GCP Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute sales plays and enablement programs Participate in monthly business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies Deep understanding of enterprise cloud services and AI/ML market dynamics Exceptional communication and relationship-building skills with both technical and business stakeholders Proven ability to develop and execute successful co-selling strategies at scale Excellence in strategy, business operations, and program management Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value Strong candidates may also have: Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company Familiarity with large language models and their applications in generative AI Previous experience working with cloud and large technology partnerships Technical background in computer science, software engineering, data science, or related field MBA or advanced degree in relevant discipline Deadline to apply: None. Applications will be reviewed on a rolling basis.The expected salary range for this position is:Annual Salary:$215,000&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. 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

Google Cloud GTM Partnership, 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 Anthropic is seeking an experienced and engaging enablement professional who can help foster the skills of our international sellers. As a key member of the Go-to-Market team, you will drive the education of our customer-facing teams in Europe and Asia to ensure they are productive. This role demands the ability to translate complex AI concepts into compelling and interactive training. Leading the international enablement program, you will create one of the first impressions for a fast-growing sales team, leaving a lasting impact on their careers at Anthropic. Reporting to the Global Head of Enablement, you will have the opportunity to build region-specific curriculum and processes from the ground up. You will ensure our sellers are quickly equipped to provide the best solutions to our customers, operating as thought leaders in the AI space. Responsibilities&nbsp; Lead the enablement team for our customer-facing teams in Europe and APAC Own the end-to-end enablement processes from content production to facilitation Interface with Sales leaders to align on priorities and continually improve the enablement experience based on the GTM strategy Identify the core competencies that make our Account Executives and technical teams successful, adapting training to their specific needs Leverage Claude and advanced technologies to scale the enablement process Monitor KPIs and measure success, making data-driven decisions to improve the program Lead multiple training sessions through various delivery methods including in-person, virtual, and pre-recorded enablement You may be a good fit if you 7+ years of experience in a customer-facing role for complex technology, particularly experience with AI/ML products or enterprise software 7+ years of experience in an enablement role, particularly leading international programs Demonstrated ability to thrive in a fast-paced environment, with a proven track record of leading enablement initiatives at technology companies Exceptional strategic thinking, writing, and storytelling skills, with the ability to distill complex technology into relatable narratives Experience successfully working and collaborating with Sales leaders, Product, Marketing, Operations, and others to tell impactful stories Personable and engaging demeanor with the ability to lead a classroom Deep understanding of sales processes and methodologies Proactive and scrappy approach, combining strategic thinking with a willingness to roll up your sleeves Strong project management and analytical skills Collaborative leadership skills to influence stakeholders at all levels Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:€200.000&mdash;€200.000 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

GTM International Enablement 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:&nbsp; Anthropic is seeking an exceptional Partner Enablement professional to build and scale our partner enablement programs. As our partner network continues to expand globally, this role will be critical in creating scalable, programmatic approaches to partner success across diverse markets and segments. You will serve as the strategic architect of our partner enablement infrastructure, developing certification frameworks, delivering content, and building co-selling capabilities that drive mutual success at scale. This role offers the unique opportunity to shape how frontier AI technology is enabled and deployed through strategic partnerships. You'll be responsible for building programs that will scale across global markets and segments, developing the blueprint for how we empower partners to successfully sell, implement, and support Anthropic's AI solutions. Responsibilities: Create ongoing, live training programs that keep partners current with product updates, competitive positioning, and market trends Develop and execute comprehensive partner enablement strategy, including certification programs, training frameworks, and scalable onboarding processes Manage and curate Partner Portal content including training materials, marketing assets and certification programs that drive partner competency Design and implement tiered certification programs that validate partner expertise across sales and industry-specific domains Build co-selling frameworks including joint value propositions, partner-specific playbooks, and collaborative sales processes that accelerate mutual success Implement comprehensive partner performance tracking systems with metrics and feedback loops to measure effectiveness and optimize partner outcomes Lead cross-functional collaboration with Product, Marketing, and Sales teams to translate internal capabilities into partner-ready enablement content Establish governance processes for content review, approval, and regular updates across all partner-facing materials You may be a good fit if you have: 7+ years of experience in sales, sales enablement, or strategic partnerships in technology organizations Proven track record of building and scaling comprehensive enablement programs and certification frameworks from the ground up Deep experience managing partner portals, learning management systems, and content curation platforms at scale Strong understanding of enterprise software sales processes, partner ecosystem dynamics, and channel strategies Excellence in strategic planning, program management, and cross-functional collaboration in complex organizational environments Experience developing performance metrics and analytics frameworks that drive partner program optimization Strong executive presence and demonstrated ability to influence stakeholders across partner organizations Exceptional communication skills with ability to translate complex technical concepts for diverse partner audiences Track record of success in fast-paced, high-growth environments with evolving partner requirements and global reach The expected salary range for this position is: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. 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 Partner Enablement

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 GTM Strategy Business Partner in this role you will work closely with Customer Success leadership. Partnering as a deep expert in customer activation, retention, expansion, and portfolio optimization You'll analyze customer health, evaluate existing metrics and suggest new frameworks to evolve the business, optimize resource allocation across CSM and TSM teams in coordination with cross-functional partners like Applied AI, drive operational efficiency in renewal processes, and support the rapid evolution of our customer success motions. This role exists to materially improve the efficiency and effectiveness of Anthropic's post-sales organization, helping maximize customer lifetime value and drive sustainable growth. Responsibilities Strategic Analysis, Operations &amp; Planning Partner with CS leadership to analyze and refine portfolio segmentation strategies, including resource scaling, allocation, and coverage models Develop and maintain customer health frameworks that predict renewal risk and expansion opportunities across different customer segments Support development of targeted retention and expansion strategies based on customer usage patterns, value realization metrics, and competitive landscape Maintain excellence through business reviews and operating cadences focused on gross retention, net retention, and customer satisfaction targets Data-Driven Decision Support Build and evolve customer health scoring models that incorporate product usage, engagement metrics, and business outcomes Create predictive analytics for renewal forecasting and churn risk identification Analyze CSM/TSM performance metrics to optimize book of business assignments and coverage ratios Synthesize tangible recommendations for improving time-to-value, adoption rates, and expansion velocity Customer Lifecycle Optimization Design and implement scalable customer journey frameworks that maximize value realization at each stage Develop playbooks for critical customer moments: onboarding, adoption milestones, renewal cycles, and expansion opportunities Create standardized success criteria and outcome measurements across different customer segments Partner with Product to ensure customer feedback loops drive roadmap prioritization Renewal &amp; Expansion Excellence Build data-driven renewal forecasting models and early warning systems for at-risk accounts Develop expansion opportunity identification frameworks based on usage patterns and untapped use cases Create pricing and packaging recommendations based on customer segmentation and value drivers Support executive-level renewal negotiations with business case development and ROI analysis Cross-Functional Collaboration Work closely with Sales, Product, and Engineering teams to align on customer success initiatives and provide feedback regularly Partner with Revenue Operations on management reporting, systems integration and process automation Collaborate with Finance on customer analysis to inform target setting and resource investment decisions Support coordination between pre-sales (AE/AAI) and post-sales (CSM/TSM) teams for smooth handoffs You may be a good fit if you have 5+ years of experience in customer success strategy, revenue operations, or management consulting with focus on SaaS/enterprise software Deep expertise in customer health scoring, renewal forecasting, and portfolio optimization Strong analytical skills with experience in CRM and customer analytics platforms and BI tools (e.g. Salesforce, Looker, Gainsight or Catalyst) Proven track record of improving gross retention rates and net dollar retention in very fast paced, high-growth environments Experience with consumption-based pricing models and usage analytics strongly preferred An ability to translate complex customer data into actionable strategic recommendations Demonstrated success in building scalable customer success processes and playbooks Strong project management and stakeholder influence skills across technical and business teams A healthy balance of customer empathy with data-driven decision making Experience with AI/ML customer implementations and technical account management preferred A desire and readiness to do the best work of your career Bachelor's degree required; MBA or advanced degree preferred Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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 Strategy and Operations, Customer Success

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 In this GTM Strategy &amp; Operations role at Anthropic, you'll drive critical go-to-market initiatives that directly impact our revenue growth and market expansion. You'll independently lead cross-functional projects spanning enterprise readiness, platform ecosystem development, international expansion, and innovative sales motions. This role requires exceptional strategic thinking, flawless execution, and the ability to influence stakeholders across Product, Sales, Marketing, Finance, and Legal to deliver transformational outcomes. Responsibilities: Own and drive 3-5 high-priority GTM initiatives simultaneously, from strategic conception through execution and measurement Lead cross-functional workstreams including product launches, partnership programs, and operational transformations Design and implement new GTM motions including product-led growth experiments, channel strategies, and vertical market approaches Partner with leadership to define strategic frameworks for customer journey optimization, pricing evolution, and competitive positioning Drive operational excellence through systems implementation, process optimization, and performance metrics development Synthesize complex market dynamics, customer insights, and competitive intelligence into actionable strategies with clear ROI Support international expansion efforts including market entry strategies and partnership development You may be a good fit if you have: 4-6 years of experience in management consulting, strategic operations, or GTM roles at high-growth technology companies Demonstrated success independently leading complex, ambiguous projects with multiple stakeholders Deep understanding of enterprise software sales cycles, API/consumption-based business models, and B2B GTM strategies Bachelor's degree in Business, Economics, Computer Science, or related field Advanced proficiency in SQL for complex data analysis and pipeline metrics Experience with Salesforce (SOQL, reporting, dashboards) and revenue operations tools Proficiency in data visualization tools (Looker, Tableau, or similar) Experience with Python or R for data analysis and automation (preferred) Familiarity with API documentation and technical product specifications Understanding of cloud platforms (AWS, GCP, Azure) and their marketplace dynamics Strong candidates may have: Direct experience with AI/ML companies or API-first businesses Track record of driving $10M+ revenue impact through strategic initiatives Experience with consumption-based pricing models and usage analytics International business experience, particularly in APAC or EMEA markets MBA or advanced degree in relevant field Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$160,000&mdash;$190,000 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. 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 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 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 GTM Strategy Business Partner for Partnerships, you will work closely with Partnerships leadership as a deep expert in partner ecosystem development, channel optimization, and strategic alliance execution. You'll analyze partner performance metrics, optimize resource allocation across cloud providers and system integrators, drive operational excellence in partner programs, and support the rapid scaling of our partner-led revenue motions. This role exists to materially improve the efficiency and effectiveness of Anthropic's partnerships organization, helping achieve our ambitious partner-influenced revenue goals by maximizing partner productivity and ecosystem value creation. Responsibilities Performance Analytics &amp; Reporting Build and maintain KPIs and management dashboards tracking partner pipeline, revenue contribution, attach rates, and field activation across cloud providers and SI partners Design partner health scoring frameworks to measure enablement progress, sales activation, and revenue performance across channel partner sales teams Create analytical models for partner pipeline forecasting, joint opportunity conversion rates, and partner-influenced revenue attribution Prepare executive-ready analytics for business reviews, partner negotiations, and board reporting Facilitate coordination between direct sales and partner teams through unified metrics and joint account planning insights Strategic Analysis &amp; Insights Analyze partner segmentation and coverage models to surface insights that inform resource allocation decisions Support business case development for new partner initiatives with ROI analysis and scenario modeling Identify strategic opportunities within the partner ecosystem through data analysis and competitive intelligence Enable alignment between Sales, Product, Marketing, and Finance through shared partner performance visibility Translate complex partner ecosystem data into actionable recommendations for leadership and stakeholders Operational Infrastructure &amp; Systems Define operating cadences and reporting rhythms for Partnerships management reviews Work with Revenue Operations systems and reporting teams on partner CRM integration, deal registration systems, and data infrastructure requirements Collaborate to create operational playbooks for core partner motions such as marketplace listing, co-sell activation, or lead and deal registration You may be a good fit if you have 5+ years of experience in operations, analytics, or management consulting supporting partnerships or channel organizations Advanced analytical skills with expertise in partner management platforms, CRM systems, and BI tools (e.g., Salesforce, Crossbeam, Looker) Proven ability to build operational infrastructure and measurement systems that scale in fast paced or hypergrowth environments Experience supporting cloud provider co-sell programs and enterprise SI relationships preferred Excellence in translating complex data into concise, clear insights that enable executive decision-making Strong project management skills with ability to influence stakeholders across technical, sales, and partner teams Track record of creating actionable insights from complex partner ecosystem data A balance of analytical rigor with practical understanding of partner ecosystem dynamics A desire and readiness to do the best work of your career Bachelor's degree required; MBA or advanced degree preferred The expected salary range for this position is: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. 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 Strategy & Operations - 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 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 Public Sector Strategy Business Partner, you will serve as the strategic and operational lead for Anthropic's public sector business, working closely with public sector sales leadership to drive growth in federal, state, and local government markets. This role combines deep strategic analysis with operational excellence, ensuring our public sector initiatives align with both government requirements and Anthropic's mission of safe AI deployment. You'll be responsible for developing segment-specific strategies while maintaining the operational infrastructure necessary for government engagements. Responsibilities Strategic Analysis, Operations &amp; Planning Partner with public sector sales leadership to develop and refine government segment strategy including territory planning across federal agencies, resource allocation for long sales cycles, and growth initiatives aligned with government procurement cycles&nbsp; Support development of agency-specific strategies based on mission needs, technical maturity, and procurement vehicles Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives Data-Driven Decision Support &amp; Compliance Define, iterate, and analyze public sector revenue and GTM management metrics while maintaining sensitive customer tracking and documentation requirements that exist outside standard systems Partner to create, evolve and maintain reporting mechanisms with to goal of using data to go from “what” to “why” Synthesize recommendations based on government use cases, procurement patterns, and partnership opportunities with cloud providers (AWS GovCloud, Azure Government) and system integrators Go-to-Market Execution Co-develop public sector-specific use case frameworks that demonstrate value within government mission contexts Partner with GTM teams to evolve sales motions that align with government buying behaviors and decision processes, always seeking to uncover and ask meaningful unasked questions Lead cross-functional coordination across sales, product, legal, cloud providers, and system integrators for all public sector initiatives Cross-Functional Collaboration Work closely with Revenue Operations, Legal, and Security teams to ensure compliance with government requirements Support coordination between public sector sales and federal partnership teams Facilitate weekly, monthly and quarterly updates and management reporting to executive leadership on public sector progress Prepare materials for executive reviews that articulate public sector opportunity and strategic positioning You may be a good fit if you have 5+ years experience combining: sales/revenue operations in technology, public sector or regulated industry experience, and strategy/consulting roles Deep understanding of government procurement processes, compliance requirements, and security protocols (FedRAMP, IL levels, etc.) Strong analytical skills with ability to maintain accurate records in sensitive environments while translating data into strategic insights Experience with GTM systems (e.g. Salesforce) and business intelligence (e.g. Looker) tools, with ability to create custom tracking for programs outside standard systems Demonstrated ability to coordinate between technical teams and government stakeholders, distilling complex technical concepts for various audiences Track record of managing complex programs spanning multiple stakeholders including government agencies, cloud providers, and system integrators A passion for safe and ethical AI development with understanding of its importance in government contexts Ability to build trust and influence with diverse stakeholders from sales reps to agency executives Exceptional organizational skills with ability to create clarity from complex government requirements Bachelor's degree required; MBA or advanced degree preferred; This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance. The expected salary range for this position is: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. 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 Strategy & Operations - 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.About the role The Safeguards Research Team (part of the larger Alignment Science team) conducts critical safety research and engineering to ensure AI systems can be deployed safely. Our work is fundamental to Anthropic's ability to release advanced models—without the safety systems we build, models like Claude Opus 4 simply couldn't be deployed. We're not just another ML team; we work at the frontier of AI safety, directly enabling Anthropic to fulfill its Responsible Scaling Policy commitments. As a Machine Learning Engineer on our team, you'll bridge the gap between research and engineering, developing robust end-to-end pipelines and ML systems that directly support our safety initiatives. You'll work on building scalable infrastructure for evaluating safety systems, implementing efficient training pipelines for safeguards, and creating automated systems to help us understand and mitigate risks in advanced AI systems. Your applied ML engineering work will have immediate, measurable impact—determining whether Anthropic can release its next generation of models while maintaining our safety guarantees. You bring both ML fundamentals and strong engineering practices to the team. You're comfortable training and fine-tuning language models, have intuitions about hyperparameter optimization, and can implement efficient data processing pipelines. You take a pragmatic approach to ML engineering, preferring simple, effective solutions over complex ones. You'll collaborate closely with researchers to translate experimental concepts into production-quality ML systems that address both immediate safety challenges and support longer-term research initiatives. Representative projects: Design and implement ML pipelines for training and evaluating safety classifiers and detection models Build infrastructure for hyperparameter optimization and model selection across safety experiments Create flexible interfaces and dashboards for researchers to interact with models and experimental setups Create efficient data processing pipelines that can handle large-scale model outputs and training datasets Develop tooling to automate the generation, analysis, and classification of jailbreak attempts You may be a good fit if you: Understand fundamental ML concepts like overfitting and regularization Have practical experience with improving and evaluating ML models&nbsp; Are proficient with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and can implement custom training loops Have strong software engineering skills, particularly with Python Excel at building scalable data pipelines, interpretable dashboards, and ML infrastructure Are experienced with prompting and working with large language models Prefer implementing simple, reliable solutions over complex ones Are comfortable working in a fast-paced, collaborative research environment Care deeply about the impacts of AI Strong candidates may also: Have experience building systems that integrate with large language models Have worked on distributed computing systems or parallel processing Have implemented data processing pipelines at scale Have contributed to open-source machine learning or AI safety tools Have experience with cloud infrastructure and containerization The expected salary range for this position is:Annual Salary:$315,000&mdash;$340,000 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. 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

Machine Learning Systems Engineer, Safeguards Research

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 Head of Corporate Communications to define and drive our corporate communications strategy. In this role, you will build and lead a global Corporate Communications team, partnering closely with the Head of Communications and other organization leaders to develop differentiated messaging, plans, and programs that resonate with our priority audiences and elevate Anthropic's position in the market. You will lead issues management, rapid response to industry shifts, and handle major corporate announcements while coaching our executive bench. As the economic and societal impacts of AI technology become increasingly significant, you'll help leverage communications as a vehicle for Anthropic's mission to help society successfully navigate AI's broader implications. The ideal candidate combines exceptional strategic vision with compelling storytelling abilities and the ability to navigate ambiguous situations with sound judgment. We're looking for a high-energy, proactive leader who offers fresh perspective on communications in the AI era. You'll develop a holistic approach that recognizes the limitations of solely relying on mainstream media, demonstrating deep understanding of internet culture and new media ecosystems to authentically engage our core audiences about AI's role in society and the economy. Responsibilities: Build and lead a global Corporate Communications team Partner with leadership to define a relevant, differentiated corporate communications strategy rooted in robust competitive intelligence Translate strategy into break-through campaigns, narratives and initiatives that advance Anthropic's position with relevant audiences Lead issues management and rapid response to crises and industry shifts Handle major corporate announcements and coach our executive bench Drive talent and business momentum narratives Protect and advance Anthropic's reputation and brand You may be a good fit if you: Have 15+ years leading corporate communications at high-growth technology companies, with 6+ years managing teams Have experience building teams and processes from the ground up Can translate complex technical concepts for diverse audiences Possess truly stellar written and verbal communication skills Are high agency and low ego Have a strong grasp on new and traditional media Display strong operational capabilities Are self-driven with a bias to action Show excellent judgment and instincts in navigating ambiguous situations Maintain epistemic humility while making informed decisions Bring an open and curious mindset to deeply understand technical concepts The expected salary range for this position is:Annual Salary:$400,000&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. 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 Corporate Communications

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 Head of Developer Relations at Anthropic, you will build and lead the team responsible for how developers discover, onboard, build, and scale applications using Claude and Anthropic's suite of AI technologies. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our AI technologies are used responsibly across a diverse range of implementations. You'll set the vision and strategy for Anthropic's developer experience and community, including partners, customers, and independent developers. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our AI technologies are implemented responsibly across countless use cases. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent. Responsibilities Set the Vision and Drive Strategic Impact&nbsp; Own and develop the near and long-term strategy for how developers discover, onboard, build, and scale applications with Claude and Anthropic's APIs Pioneer the definition of what world-class AI developer relations looks like in this emerging field Create frameworks for measuring developer success that align with both business objectives and our mission of safe, beneficial AI Prioritize community building and growth initiatives based on data, feedback, and the needs of both developers and Anthropic's business objectives Collaborate with product and engineering leadership to ensure developer needs inform our roadmap Build and Lead a World-Class Global Team Recruit, inspire and scale a global high-impact developer relations organization with global reach and representation across key markets Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers Partner with customers, partners, and internal stakeholders to execute on our developer experience strategy Create and implement scalable processes and organizational structures that evolve as both the team and developer ecosystem expand&nbsp; Establish clear growth paths and professional development opportunities for team members that align personal advancement with delivering exceptional value&nbsp; Drive Scaled Developer Adoption and Success Understand the diverse needs of customers, partners, and stakeholders across different segments, from individual developers to enterprise organizations Partner strategically with GTM, Sales, and Marketing teams to create unified developer-focused campaigns that drive adoption while reinforcing Anthropic's position in the market Organize and lead high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities Generate high-quality technical content including sample apps, tutorials, documentation, integration guides, and best practices that demonstrate how to use Claude responsibly and effectively Drive Alignment and Innovation Through Cross-Functional Leadership Act as the primary advocate for developer needs at the executive level, translating developer feedback into strategic initiatives Orchestrate complex cross-functional initiatives that require alignment across multiple teams, balancing differing priorities while maintaining focus on developer success Collaborate with Research to translate AI capabilities into accessible developer tools and educational resources Partner with Communications and Marketing teams to amplify developer success stories and shape Anthropic's narrative in the developer community Ensure best practices for responsible AI use are adopted by developers building with Claude You may be a good fit if you: Have 10+ years of experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems Are technically credible—able to deeply understand AI/ML concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives Are passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations Have deep insight into developer psychology and behavior—knowing how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption Have hands-on technical abilities—capable of creating your own code demos, critically reviewing developer samples for quality and best practices, and providing specific technical feedback that elevates the work of your team Are a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels Have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Strong Candidates May Have: Experience working specifically with large language models or generative AI Background in AI safety, ethics, or responsible AI development Experience in building developer communities around emerging technologies Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) The expected salary range for this position is:Annual Salary:$385,000&mdash;$460,000 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. 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 Developer Relations

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 is an AI safety and research company 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. About the Role We are seeking an exceptional Head of Policy Communications to lead our strategic communications efforts across critical policy areas. This senior leadership role will oversee communications strategy for federal, state, and local policy, societal impacts, safeguards, responsible scaling, security, legal and regulatory issues, and more. You will be responsible for crafting and executing sophisticated communications strategies that shape public understanding of AI policy issues while navigating complex issues and stakeholder landscapes. As Head of Policy Communications, you will serve as a key strategic advisor to Anthropic’s leadership team and cross-functional partners, managing high-stakes communications in one of the most rapidly evolving and consequential technology sectors. This role demands exceptional judgment, strategic vision, and the ability to translate complex technical and policy concepts into compelling narratives that resonate with diverse audiences including press, policymakers, regulators, media, policy influencers, and the general public. Key Responsibilities Strategic Leadership Develop and execute comprehensive policy communications strategies that advance Anthropic's mission and policy objectives Lead communications for federal, state, and local policy initiatives, ensuring cohesive messaging Oversee strategic narratives around societal impacts of AI, trust and safety measures, responsible scaling policies, legal and regulatory issues, and security frameworks Serve as senior communications counsel to C-suite executives and cross-functional partners including policy, legal, societal impacts, and brand marketing Build and maintain relationships with key policy stakeholders, including press, government officials, think tanks, and policy influencers Crisis &amp; Issues Management Lead rapid response communications during crises and for issues requiring strategic guidance on tight timelines Oversee comprehensive crisis communications playbooks for policy-related scenarios Navigate sensitive communications around AI safety incidents, regulatory investigations, and policy debates Partner with legal, policy, and security teams to ensure aligned messaging during high-stakes situations Team &amp; Program Management Build and lead a high-performing policy communications team Collaborate with corporate communications, product communications, and brand marketing teams to ensure integrated messaging Manage relationships with external agencies and consultants specializing in public affairs Oversee executive thought leadership programs, including speaking engagements, op-eds, and testimony preparation Stakeholder Engagement Cultivate and maintain relationships with top-tier policy and technology journalists Develop strategies for engaging with diverse stakeholder groups including civil society, academia, and industry partners Lead communications efforts for major policy announcements, regulatory submissions, and public commitments Represent Anthropic in policy forums, industry associations, media partnerships, and multi-stakeholder initiatives Requirements Must-Have Qualifications 15+ years of progressive experience in policy communications, public affairs, or related fields Proven track record leading communications at senior levels in complex, regulated industries Deep expertise in federal and state government relations and policy communications Exceptional crisis management experience with demonstrated ability to navigate high-stakes, time-sensitive situations Strong relationships with policy media, including technology policy, AI/ML, and regulatory beat reporters Experience communicating about complex technical topics to non-technical audiences Outstanding written and verbal communication skills with meticulous attention to detail Proven ability to build and lead high-performing teams Bachelor's degree required; advanced degree preferred Preferred Qualifications Experience in AI, technology policy, or emerging technology sectors Background in national security, cybersecurity, or critical infrastructure communications Experience with international policy communications and global stakeholder management Track record of successful congressional testimony preparation and support Experience working with or within government agencies Understanding of AI ethics, safety, and governance frameworks Experience managing communications through regulatory investigations or enforcement actions The expected salary range for this position is:Annual Salary:$400,000&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. 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 Policy Communications

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 an experienced Head of Transfer Pricing to join our Tax team. In this role, you will lead our global transfer pricing strategy and compliance efforts as we scale internationally. You will design and implement transfer pricing policies, manage intercompany arrangements, and ensure compliance with evolving transfer pricing regulations. This role requires deep transfer pricing expertise, strong leadership skills, and the ability to navigate complex regulatory environments. You will work cross-functionally across the organization and lead strategic initiatives that support our global expansion. If you are looking for an opportunity to build and lead the transfer pricing function at an innovative AI company, come join us in our mission to build cutting-edge, safe AI. Responsibilities: Lead the design, development, and implementation of comprehensive global transfer pricing strategies and policies Oversee preparation of transfer pricing documentation and compliance, including master files, local files, and country-by-country reports, across multiple jurisdictions and coordinate with local tax teams Draft and manage intercompany agreements Lead transfer pricing aspects of complex transactions Initiate and manage APAs and oversee transfer pricing-related audits Build and maintain sophisticated transfer pricing models and economic analyses Manage relationships with external transfer pricing advisors and coordinate multi-jurisdictional projects Monitor global transfer pricing developments, OECD guidelines, and local country changes Collaborate with Finance, Legal, and Business Development teams on intercompany pricing strategies Drive automation and efficiency improvements in transfer pricing processes and documentation You may be a good fit if you have: 15+ years of transfer pricing experience with significant leadership responsibilities Degree in Economics, Finance, Tax, or related field; CPA, JD, or Master’s in Tax preferred Deep expertise in OECD transfer pricing guidelines and international tax regulations Strong quantitative and economic analysis skills Experience managing transfer pricing compliance in multiple jurisdictions Leadership experience building and managing high-performing teams Cross-functional project management skills and ability to influence senior stakeholders Excellent written and verbal communication skills for technical documentation and presentations The expected salary range for this position is:Annual Salary:$300,000&mdash;$370,000 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. 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 Transfer Pricing

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 Immigration Strategy Program Manager to join our Mobility team and lead Anthropic's O-1 and EB/NIW visa and green card programs. In this role, you will provide strategic guidance and hands-on support to help our exceptional team members navigate complex immigration processes while building compelling cases that showcase their extraordinary contributions to AI research and development. You'll work closely with world-class researchers, engineers, and other professionals to develop their immigration profiles and craft persuasive narratives that demonstrate their qualifications for specialized work authorizations. This role combines deep immigration expertise with program management skills to deliver white-glove support experiences for our team members throughout their immigration journey. Responsibilities: Partner with employees to strategically build and strengthen their profiles for O-1 and EB/NIW applications, including identifying opportunities for speaking engagements, publications, and other profile-building activities Develop compelling, evidence-based narratives for visa and green card applications that effectively demonstrate candidates' extraordinary abilities and contributions to their field Draft high-quality recommendation letters that support application narratives and highlight key achievements Program manage the end-to-end application process in collaboration with outside counsel, ensuring seamless coordination, timely submissions, and exceptional client experience Provide responsive, proactive communication to applicants throughout the process, serving as their primary point of contact and advocate Lead special projects related to US immigration strategy and process optimization for our O-1 and EB programs Stay current on immigration law developments, policy changes, and best practices that impact our programs Collaborate with cross-functional teams including Legal, People, and leadership to align immigration strategy with business objectives You may be a good fit if you: Have 5+ years of specialized experience in O-1 and EB/NIW immigration cases, preferably within the AI sector Possess deep knowledge of USCIS requirements, adjudication trends, and best practices for extraordinary ability and national interest waiver cases Have experience working with high-achieving professionals in technical fields and understand how to translate complex achievements into compelling immigration narratives Are an exceptional writer with proven ability to craft persuasive legal documents and recommendation letters Have strong project management skills with experience coordinating multi-stakeholder processes and managing tight deadlines Excel at building relationships and providing consultative guidance to clients throughout complex processes Are detail-oriented with a track record of managing multiple cases simultaneously while maintaining high quality standards Thrive in fast-paced environments and are comfortable adapting to changing priorities Strong candidates may also have: Experience at a boutique immigration law firm specializing in O-1 and EB cases or at an immigration consulting/coaching service Background working with AI researchers, engineers, or other STEM professionals Knowledge of academic and industry publication processes, conference speaking opportunities, and other profile-building activities Experience with immigration case management systems and tools Understanding of the broader technology and AI landscape to better contextualize candidate achievements You might also be excited about this role if you: Are passionate about helping exceptional individuals achieve their immigration goals and advance their careers Enjoy the intellectual challenge of building complex, evidence-based cases Want to contribute to Anthropic's mission by ensuring we can attract and retain top global talent Value providing exceptional client service and building long-term relationships Are interested in being part of a growing team at the forefront of AI development The expected salary range for this position is: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. 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

Immigration Strategy Program 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 We are seeking an Infrastructure Accounting professional to join our Accounting team at Anthropic. In this role, you will design, implement and oversee the financial accounting and reporting for all costs and accounting matters related to cloud infrastructure and infrastructure assets. As we continue to scale, you will play a crucial role in ensuring accurate financial reporting while working cross-functionally to drive process improvements and provide financial insights that support strategic decision-making. This role will report to the Head of Infrastructure Accounting.&nbsp; If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative AI company, come join us in our mission to build cutting-edge, safe AI. Responsibilities: Own end-to-end financial accounting and reporting for compute and infrastructure costs, ensuring accurate classification and allocation between Cost of Revenue and OpEx for hosting costs Partner with technical accounting teams to assess infrastructure expenditures for proper classification as capital expenditures or capital leases under ASC 842, ensuring compliance with financial reporting requirements Manage accounting for infrastructure assets, including depreciation schedules, impairment assessments, and asset lifecycle tracking Ensure timely month-end and quarter-end accounting for all infrastructure-related transactions Drive improvements in data quality by working cross-functionally with internal and external stakeholders to solve problems with big data and complex cost allocation methodologies Partner closely with Finance &amp; Strategy and Capital Infrastructure teams to drive analysis and build financial models that inform decisions around compute capacity planning, efficiency initiatives, and cost optimization Build scalable processes and automated solutions to support rapid growth while maintaining strong controls and data integrity Collaborate with engineering and infrastructure teams to understand technical requirements and translate them into financial implications Develop scalable operational processes to execute complex accounting classifications efficiently in a high-growth environment Analyze large infrastructure cost datasets to identify trends, variances, and opportunities for process improvement Serve as the primary liaison with external auditors for compute, infrastructure costs, and related capital assets Assist in the preparation of financial reports, supporting schedules, and management presentations related to infrastructure investments Partner with technical teams to gain deep understanding of compute infrastructure investments and their accounting implications You may be a good fit if you: Have 10+ years of progressive experience in accounting, with operational experience in technology companies and infrastructure asset management Hold a Bachelor's degree in Accounting or Finance, CPA or equivalent preferred Have extensive experience with complex infrastructure subject matter, capital lease accounting under ASC 842, and infrastructure asset accounting Demonstrate expertise in analyzing and solving problems with big data, including large compute cost datasets Have experience working in a fast-paced startup environment with the builder mindset to turn messy or ambiguous workflows into streamlined processes Exhibit strong organizational and analytical abilities with exceptional attention to detail and commitment to accuracy Are proficient in financial systems, data visualization tools, and database querying technologies Have the ability to translate technical concepts into financial implications and accounting requirements Demonstrate excellent interpersonal skills and ability to collaborate effectively across teams Show experience partnering with Finance &amp; Strategy teams and infrastructure/capital planning functions Strong candidates may also: Have SQL skills for querying, analyzing, and reporting on large infrastructure cost datasets Possess deep understanding of technical accounting concepts including ASC 842 lease accounting, asset capitalization, and depreciation methodologies Be comfortable with handling ambiguity and working with minimal supervision in complex technical environments Show genuine curiosity about technology, artificial intelligence, and cloud infrastructure Have experience with cloud computing cost structures and infrastructure asset optimization Demonstrated proficiency with AI-assisted tools and automation for enhancing data analysis and optimizing financial reporting workflows Excel at cross-functional collaboration, particularly with technical teams and strategic finance functions Display a passion for continuous learning, process improvement, and solving complex accounting challenges with innovative solutions Have experience with consumption-based business models and their associated accounting complexities The expected salary range for this position is:Annual Salary:$190,000&mdash;$230,000 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. 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

Infrastructure Accounting

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 exceptional Insider Risk Investigator with expertise in both technical investigations and hardware forensics to support and protect Anthropic's mission. The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's IP and trade secrets. In this role, you will have the opportunity to strengthen our security capabilities from the ground up, with a special focus on building out our in-house hardware forensics capabilities alongside our world-class research and security teams. Responsibilities: Independently conduct comprehensive end-to-end insider risk investigations while working closely with IT, SecEng, Legal, HR and other cross-functional teams. Conduct sensitive interviews of employees, witnesses and other involved parties.&nbsp; Conduct forensic analysis on mobile devices, computers, and other hardware using industry-standard tools such as Cellebrite, Magnet Axiom, EnCase, and similar platforms. Develop and maintain chain of custody procedures for physical and digital evidence collection. Support development of digital evidence collection and analysis processes and procedures. Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks. Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies. Create and maintain documentation for hardware forensics procedures, ensuring compliance with legal and regulatory requirements. Support education and awareness programs to promote a robust security culture. Serve as the subject matter expert for insider risk and provide training to team members as needed. You may be a good fit if you have: Bachelor's degree and/or higher education in a related field. 8+ years of experience in insider risk analysis, investigations, cybersecurity or a related domain. 5+ years experience in conducting interviews.&nbsp; Demonstrated experience in mobile device forensics (iOS/Android) and macOS computer forensics. Knowledge of DLP, UEBA, SIEM, SOAR and other insider risk security tooling. Understanding of forensic imaging, data extraction, and analysis methodologies. Broad understanding of internal and external investigations, cybersecurity, surveillance, interview techniques, risk assessment and managing strong cross-functional relationships. Experience with maintaining chain of custody and partnering with legal to prepare forensic reports for legal proceedings. Exceptional communication, collaboration skills and the ability to lead projects with little guidance. Strong candidates may also have Experience working in the technology industry or at/with AI/ML companies. 8+ years of hands-on experience with hardware forensics tools, particularly Cellebrite, FTK, EnCase, Axiom Magnet, or similar platforms. Certifications such as CCE (Certified Computer Examiner), CCPA (Cellebrite Certified Physical Analyst), GIAC (Certified Forensic Examiner, (GIME) GIAC iOS and macOS Examiner or CCME (Cellebrite Certified Mobile Examiner). Experience contributing to a high growth startup environment. Specialized knowledge of risks unique to the AI sector. Certified Fraud Examiner (CFE) credential. Experience building forensics labs and establishing forensics programs from the ground up. Knowledge of anti-forensics techniques and countermeasures. Candidates need not have: 100% of the skills needed to perform the job All certifications or educational credentials listed Prior experience working in the AI field Deadline to apply None. Applications will be reviewed on a rolling basis.The expected salary range for this position is: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. 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

Insider Risk 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 Anthropic is seeking an Internal Communications Manager to join our Communications team. Internal communications at Anthropic works across teams to steer and foster a culture that's rooted in our mission, values, and company goals. In this role, you will make sure every Anthropic employee feels engaged, informed, and understands how their daily work directly contributes to our mission as a public benefit corporation: to ensure the world safely makes the transition through transformative AI. This role works like a communications business partner, going deep with assigned functions to fully understand their challenges, priorities, and needs. You'll own internal communications for Research &amp; Policy, serving as their embedded communications expert while maintaining tight partnerships with their leadership. Responsibilities: Own a communications strategy for a dedicated portfolio of functional areas, becoming an expert in their work and a trusted member of their leadership team Partner closely with function leaders and executives to understand priorities, help them communicate change, and ensure their teams feel connected to the broader mission Cultivate and manage channels for disseminating timely information from teams Design and implement strategies to boost signal and reduce noise so employees know what's important and what it means for them Use qualitative and quantitative research to propose strategies and tactics that align with company goals and will resonate with our employee audience Weave our brand across different internal touchpoints, working across teams to uplift stories that connect our daily work to our mission and identify cultural moments that reinforce our values Identify, celebrate, and help shape cultural moments that reinforce our values, spotting organic examples of our culture in action and creating space for it to evolve as we grow Exhibit operational excellence to help plan and execute internal fora like all-hands Partner closely with the broader internal communications team to ensure updates are being accurately and consistently cascaded via all our existing channels and live forums. Co-design and implement principles, practices, and governance for how we use communications channels You may be a good fit if you: Are an exceptional writer with a particular talent for distilling complex decisions and cross functional projects into simple, compelling narratives Have 10+ years of proven experience executing and leading in fast-changing, complex, and international organizations Thrive on deep partnership with leadership teams and can truly embed yourself in business functions Have a keen eye for organizational culture and can recognize authentic moments worth amplifying while helping teams navigate cultural evolution Are comfortable navigating organizational dynamics and can build strong working relationships with executives &nbsp; The expected salary range for this position is: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. 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

Internal Communications 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 an AV Engineer on Anthropic's IT Engineering team, you'll design and implement the systems that enable world-class collaboration and communication across our global offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the next two years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities: Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Assist with AV operations support including event production and system maintenance as needed Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met&nbsp; Manage relationships with AV integrators and vendors to ensure project success You may be a good fit if you: Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have: Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity building control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Additional Requirements: This position will require 4 days/week in our SF office and up to 8 weeks of domestic and international travel to help with new office build outs.&nbsp; Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$225,000&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. 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

IT Engineering - Audiovisual 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.About the role As a Corporate Network Engineer on Anthropic's IT Engineering team, you'll help establish and expand the network infrastructure that enables our teams to advance AI safety research and development. This is an opportunity to shape the foundation of our corporate network architecture as we scale, building reliable and secure connectivity solutions for our growing global presence. You'll focus primarily on designing and operating corporate office network infrastructure, creating the physical and wireless environments where our staff collaborate. As we expand our facilities and headcount, your work will directly enable productive, secure workspaces that support both in-person collaboration and hybrid work models. Responsibilities Design and implement corporate office network infrastructure from the ground up, including wired and wireless networks, across multiple locations Establish network standards, best practices, and architectural patterns that will scale with our rapid growth Build and maintain high-performance wireless networks that support dense user environments and diverse device requirements Develop automation tools and monitoring solutions to ensure network reliability and rapid issue resolution Partner with Facilities and Security teams to plan and integrate network infrastructure into new office buildouts and expansions Manage vendor relationships, oversee circuit procurement, and handle equipment lifecycle planning Create comprehensive documentation, runbooks, and knowledge bases for network operations Participate in an on-call rotation to provide network support and incident response Implement network security controls including segmentation, access control, and guest network isolation Collaborate with infrastructure teams to ensure seamless connectivity between office networks and cloud resources You may be a good fit if you Have 5+ years of experience designing and operating enterprise networks, with focus on corporate/office environments Are proficient with firewall management, routing protocols, VLANs, and layer 2/3 switching technologies Have hands-on experience designing and troubleshooting enterprise wireless networks at scale Have experience with network configuration automation Understand physical network infrastructure including structured cabling standards, IDF/MDF design, and equipment installation Have experience with network security best practices including segmentation, 802.1X, and firewall policies Are comfortable with Linux/Unix systems and network troubleshooting tools Can manage multiple projects simultaneously while working with facilities teams, contractors, and vendors Communicate effectively with both technical and non-technical stakeholders Are excited about building foundational infrastructure for a rapidly growing organization Care about the societal impacts of your work and Anthropic's mission to build safe AI systems Strong candidates may also have Experience establishing network infrastructure and standards at high-growth companies Background in wireless site surveys, capacity planning, and RF design Knowledge of building automation and IoT network requirements Familiarity with identity-based network access control solutions Understanding of compliance requirements for network infrastructure (SOC2, ISO 27001) Experience with network observability and platforms Track record of successful office buildouts and network migrations Certifications such as CCNA/CCNP, CWNA/CWDP, or equivalent Experience with AV over IP solutions Additional Requirements This position will require up to 8 weeks of domestic and international travel to help with new office build outs. There is also a 4 day/week in office expectation in our San Francisco office.&nbsp; Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$225,000&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. 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

IT Engineering - Corporate Network 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.About the role: We are seeking an expert IT Support Specialist who can handle the most complex technical challenges while working as a core member of our Helpdesk team. This role requires deep technical expertise to support some of the world's leading AI researchers and engineers. You'll tackle intricate troubleshooting scenarios daily while identifying systemic issues and implementing strategic solutions. Responsibilities: Expert-Level Technical Support Diagnose and resolve complex issues across Google Workspace, IAM, SSO, and authentication systems Navigate GCP IAM permissions to trace and fix access issues, understanding the full authentication chain Troubleshoot intricate MDM configurations and device management problems Support AI researchers and engineers with highly technical, often novel computing challenges Handle escalations that require deep understanding of system interdependencies Systems Thinking &amp; Impact Analysis Analyze downstream impacts of changes before implementation, thinking at scale Identify root causes in complex, multi-system failures Design solutions that prevent issues without creating new problems Evaluate and understand the security implications of support decisions across the organization Strategic Problem Solving Transform recurring technical issues into systematic solutions Autonomously identify and implement automation for common problems Build self-service tools that empower users while maintaining security Create technical documentation that captures deep troubleshooting knowledge Lead projects that address fundamental infrastructure pain points High-Stakes Communication &amp; Collaboration Communicate effectively with world-class researchers about complex technical issues Translate between highly technical problems and practical solutions Partner with engineering teams to understand and support complex infrastructure Mentor other IT&nbsp; team members on advanced troubleshooting methodologies Maintain composure and clarity when supporting critical research workflows You may be a good fit if you: 7+ years supporting technical teams in AI/ML, cloud, or research environments Experience with remote dev environments Background in scripting (Python, Bash) for automation and tool creation Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines Experience supporting teams working with sensitive or classified data Understanding of compliance frameworks (SOC2, ISO 27001) Strong candidates may also have experience with: Identity &amp; Access Management: Deep understanding of Google Workspace admin, SAML/OIDC, GCP IAM, permission inheritance, and multi-factor authentication systems Device Management: Expert knowledge of MDM platforms (Jamf, Intune), device enrollment, configuration profiles, and security policies Infrastructure: Strong grasp of DNS, DHCP, VLANs, VPNs, and basic network troubleshooting Operating Systems: Advanced troubleshooting across macOS, and Linux environments&nbsp; Cloud Platforms: Proficiency with GCP services, understanding of AWS/Azure basics Key skills: Expert-level Google Workspace administration and troubleshooting Advanced IAM and authentication debugging across multiple platforms Strong understanding of system dependencies and change management Excellent pattern recognition for identifying systemic issues Ability to remain calm and effective under pressure from high-stakes problems Clear communication skills for both technical and non-technical audiences Success factors: Solves technical problems others have given up on Thinks through second and third-order effects before making changes Builds trust with world-class researchers through technical competence Identifies and prevents tomorrow's problems while solving today's Documents solutions in ways that elevate the entire team's capabilities Maintains deep technical expertise while mentoring others Demonstrates measurable reduction in repeat issues through strategic fixes What makes this role unique: This is not a typical help desk position. While you'll be an active member of the support team handling tickets daily, you'll also be the strategic thinker who asks "why does this ticket exist?" and then does something about it. You'll have the autonomy to design and implement solutions that make entire categories of problems disappear. If you're someone who can expertly troubleshoot an issue while simultaneously designing the system that prevents it from happening again, this role is for you. Location Requirement:&nbsp; We expect staff in this role to be based out of the SF Bay Area and be willing to work onsite in our SF office 4-5 days/week.&nbsp; Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$160,000&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. 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

IT Support 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.About the Role As a Product Manager for the Research and Frontiers teams at Anthropic, you will own the ideation and deployment of new products as we advance transformative, safe AI. The Research Product Management team works closely with our researchers to productize credible applied research and identify high-potential use cases grounded in customer needs. This role will partner closely with Frontiers, which pushes the boundaries of our research capabilities into new experiences for end users and builders. Frontiers focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code. We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation, with the ability to identify and ultimately define entirely new product categories enabled by AI. Responsibilities: Lead 0-to-1 product development from research to internal prototypes to shipped products Identify nascent research capabilities that could become transformative products Define product strategy for experimental initiatives that push beyond our current offerings Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems You might be a good fit if you: Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus. Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. A data-driven mindset with Python and SQL working proficiency is a must. Have 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 Have a track record of launching ambitious products that have found distribution or commercial success Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and hands-on with emerging research and industry trends Have a creative, hacker spirit and love solving puzzles The expected salary range for this position is:Annual Salary:$305,000&mdash;$460,000 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. 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

Lead Product Manager, Research

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 ML engineers to help build safety and oversight mechanisms for our AI systems. As a Safeguards Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well-being. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system Improve our automated detection and enforcement systems as needed Analyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactively Surface abuse patterns to our research teams to harden models at the training stage You may be a good fit if you: Have 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on AI safety. Have proficiency in Python, LLMs, SQL and data analysis/data mining tools. Have proficiency in building safe AI/ML systems, such as behavioral classifiers or anomaly detection. Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders. Care about the societal impacts and long-term implications of your work. Strong candidates may also have experience with: Machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch High-performance, large-scale ML systems Language modeling with transformers Reinforcement learning Large-scale ETL The expected salary range for this position is:Annual Salary:$340,000&mdash;$425,000 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. 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

Machine Learning 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 We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable. Responsibilities Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows Optimize encoding techniques to improve model training efficiency and performance Collaborate closely with research teams to understand their evolving needs around data representation Build infrastructure that enables researchers to experiment with novel tokenization approaches Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline Create robust testing frameworks to validate tokenization systems across diverse languages and data types Identify and address bottlenecks in data processing pipelines related to tokenization Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams You May Be a Good Fit If You Have significant software engineering experience with demonstrated machine learning expertise Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Have experience with machine learning systems, data pipelines, or ML infrastructure Are proficient in Python and familiar with modern ML development practices Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Care about the societal impacts of your work and are committed to developing AI responsibly Strong Candidates May Also Have Experience With Working with machine learning data processing pipelines Building or optimizing data encodings for ML applications Implementing or working with BPE, WordPiece, or other tokenization algorithms Performance optimization of ML data processing systems Multi-language tokenization challenges and solutions Research environments where engineering directly enables scientific progress Distributed systems and parallel computing for ML workflows Large language models or other transformer-based architectures (not required) Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: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. 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

Machine Learning Systems Engineer, Encodings and Tokenization

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 want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Research Tools team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems.&nbsp; &nbsp; Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You’ll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you: Have 2+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large scale distributed systems Kubernetes Python Implementing LLM finetuning algorithms, such as RLHF Representative projects: Profiling our reinforcement learning pipeline to find opportunities for improvement Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline Making changes to our finetuning systems so they work on new model architectures Building instrumentation to detect and eliminate Python GIL contention in our training code Diagnosing why training runs have started slowing down after some number of steps, and fixing it Implementing a stable, fast version of a new training algorithm proposed by a researcher Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$300,000&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. 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

Machine Learning Systems Engineer, Research Tools

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 startup sales leader at Anthropic, you'll build and lead a high-performing team of account executives focused on driving adoption of our cutting-edge AI solutions throughout the startup ecosystem. This pivotal role combines strategic leadership with hands-on sales management to accelerate revenue while ensuring responsible AI deployment. You'll collaborate directly with GTM leadership, product teams, and engineering to define and execute our startup go-to-market strategy, empowering startups to unlock new use cases and achieve breakthrough results with Anthropic's emerging products. Responsibilities: Build and lead a team of Startup Account Executives, implementing the broader startup ecosystem strategy through effective sales execution and team development Design and execute regional or segment-specific sales strategies aligned with company-wide startup initiatives Develop and optimize sales processes that enable scalable startup engagement, from seed stage through hypergrowth, while maintaining high standards of responsible AI deployment Partner with other startup ecosystem team leads across partnerships, developer relations, and account management to ensure coordinated execution of startup programs Create and implement sales enablement programs that help your team effectively articulate Anthropic's value proposition to technical and non-technical startup stakeholders Drive revenue growth through strategic pipeline development, territory planning, and resource allocation while maintaining forecast accuracy Provide market intelligence and customer feedback to inform product roadmap and startup program development You may be a good fit if you have: 10+ years of experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, with 5+ years leading sales teams Deep understanding of the startup ecosystem and experience working with high-growth technology companies at various stages Track record of exceeding team revenue targets and successfully scaling startup sales organizations in emerging technology markets Experience building relationships with startup ecosystem players including accelerators, incubators, and venture capital firms Strong analytical skills with the ability to use data to inform strategy, forecast accurately, and make evidence-based decisions about pipeline and territory management Excellence in cross-functional collaboration and ability to align sales execution with broader ecosystem initiatives Proven ability to recruit, develop, and retain top sales talent while building an inclusive team culture Passion for emerging technologies like AI, with particular interest in ensuring they are developed safely and responsibly Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$280,000&mdash;$350,000 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. 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 - 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 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 in the Digital Native space. 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 customers embed and deploy AI while uncovering its full range of capabilities. 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 landscape. The ideal candidate will have a passion for developing people, identifying market opportunities, 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 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 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 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 Gather and synthesize customer feedback to inform product direction and enhance customer experience Build and continuously refine the sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you 7+ years of enterprise sales experience driving adoption of emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the the Enterprise segment Proven track record of building and leading high-performing sales teams, 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 Track record of successful partnership with technical teams throughout the customer journey Demonstrated ability to navigate dynamic stakeholder ecosystems 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 Strategic approach to market analysis combined with tactical excellence in execution Passion for AI technology and commitment to its safe, responsible development Annual Salary: The expected salary range for this position is $350-410k. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, and it includes both the annual base salary and sales bonuses. Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$350,000&mdash;$410,000 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. 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, Enterprise Account Executive - Digital Native 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 the manager of the Digital Native, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Enterprise Tech companies and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for leading &amp; growing the Digital Native, Applied AI, Solutions Architect team, establish processes and best practices for your segment's pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: Manage and mentor a team of Applied AI, Solutions Architects, providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Work with a handful of highest-value Digital Native enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements &amp; co-build GTM strategies to drive adoption for Digital Native enterprise customers Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases Contribute to thought leadership through conference presentations, webinars, and technical content creation Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector You may be a good fit if you have: 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 3+ years of technical go-to-market management experience, specifically managing pre-sales teams Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.) Experience with the unique technical requirements and technical procurement process of enterprise tech companies Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems Make ambiguous problems clear and identify core principles that can translate across scenarios Have a passion for making powerful technology safe and societally beneficial Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and informed by taking an active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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 of Solutions Architecture, 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: Anthropic is seeking an experienced Recruiting Coordination Manager to build and manage a high-performing team of Recruiting Coordinators focused on technical coordination excellence. You'll set clear goals for your team, ensuring alignment with organizational objectives while monitoring performance and addressing challenges. You'll help draft vision for recruiting coordination, anticipate longer-term needs, and make strategic tradeoffs that support Anthropic's mission of developing safe, beneficial AI. Responsibilities: Team Leadership &amp; People Management Build a cohesive team, hiring individuals with complementary skills that contribute to overall performance Partner closely with recruiting managers to manage team allocation, capacity planning, and evolving coordination needs Manage day-to-day operations and load balancing of contingent worker team including work allocation, scheduling, and performance Process Management &amp; Candidate Experience Champion a positive and consistent candidate experience throughout the recruitment lifecycle Establish and maintain documentation for recruiting coordination processes, ensuring consistency and knowledge sharing Leverage data to develop and implement process improvements to enhance efficiency and candidate satisfaction Ensure we are using our tools and systems to their full potential and leverage AI capabilities to enhance the interview experience Strategic Vision &amp; Analytics Develop vision for recruiting coordination in partnership with recruiting leadership and plan on quarterly timescales Generate and analyze recruitment metrics to track performance and identify coordination-related trends Lead cross-functional projects related to recruiting operations, defining scope and deliverables Own relationship with scheduling and technical vendors, staying current on features and providing feedback to maximize tool potential You may be a good fit if you: Have at least 2 years of demonstrated success managing a team responsible for high volume scheduling, front-line communication and process optimization Excel at setting clear and measurable goals while monitoring team performance and addressing challenges Have experience building sustainable interviewer and recruiting programs in a matrixed environment Have experience leading through ambiguity, scaling processes while maintaining strategic focus and bias toward action Can handle multiple problems simultaneously while prioritizing effectively in fast-paced environments Demonstrate exceptional communication skills with recruiters, candidates and the hiring team Have experience with technical coordination complexities and multi-stakeholder scheduling Strong candidates may also have: Experience with Greenhouse and ModernLoop platforms, including advanced reporting and analytics capabilities Recruiting or recruiting operations experience, particularly in technical or AI/ML environments Experience building dashboards and data analysis processes for multiple levels of stakeholders Bachelor's degree or equivalent experience Passion for AI safety and alignment with Anthropic's mission to develop safe, beneficial AI systems The expected salary range for this position is:Annual Salary:$145,000&mdash;$185,000 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. 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, Recruiting Coordination

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.Role Overview As a Sales Development Manager at Anthropic, you'll lead and scale our business development function to drive pipeline generation for our frontier AI products. You'll build and manage a high-performing team of BDRs, optimize our lead management processes, and collaborate closely with sales leadership to ensure alignment between pipeline generation and revenue goals. This is a critical role in scaling Anthropic's go-to-market engine during a period of hyper-growth. Key Responsibilities Build, lead, and scale a team of 8-12 BDRs focused on both inbound lead management and strategic outbound prospecting Develop and implement strategies to optimize lead routing, qualification, and conversion processes Partner with sales leadership to align pipeline generation with revenue targets across Startup and Enterprise segments Establish and track KPIs for lead quality, conversion rates, and pipeline contribution Create comprehensive training programs and career development paths for BDRs Collaborate with marketing to optimize lead quality and campaign effectiveness Drive adoption of sales tools and technologies (Salesforce, HubSpot, SQL) to improve team efficiency Implement data-driven approaches to continuously improve team performance Manage relationships with cross-functional stakeholders including sales, marketing, and operations Build scalable processes to support Anthropic's rapid growth Coach and mentor BDRs on prospecting strategies, qualification techniques, and career development Qualifications 3-5 years of experience managing BDR teams, preferably in high-growth SaaS or technology companies Proven track record of building and scaling successful BDR teams Strong analytical skills with experience using data to drive decision-making Experience with Salesforce, HubSpot, and sales analytics tools Demonstrated ability to develop and implement effective sales processes Excellent communication and leadership skills Experience in API-first or consumption-based business models preferred Bachelor's degree or equivalent work experience Preferred Experience Experience managing teams in AI/ML or developer-focused companies Background in both inbound and outbound lead generation strategies Track record of developing BDRs who successfully transition to AE roles Experience building teams from scratch in early-stage companies The expected salary range for this position is:Annual Salary:$165,000&mdash;$190,000 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. 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, Sales Development

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; As a Manager of Technical Success at Anthropic, you'll be a critical front-line leader managing a team of 5-8 Technical Success Managers who help our customers harness the full potential of our API solutions. You'll directly coach and develop a high-performing team focused on driving customer adoption, optimization, and growth while maintaining hands-on involvement with strategic customer engagements. As a leader with deep technical expertise, you'll play a key role in building out our Technical Success function, developing playbooks, and establishing best practices that will scale as we grow. Responsibilities: Build and lead a high-performing Technical Success team supporting Anthropic's most strategic customers, ensuring deep understanding of our technology and its transformative applications Drive team growth through strategic hiring, coaching, and development while building a strong customer-centric culture Provide hands-on technical coaching to TSMs on AI/ML concepts, API integration patterns, and implementation best practices Own and improve team-level metrics including customer health, retention, expansion, and satisfaction across our customer base Build and refine processes to monitor customer health, identify risks early, and drive mitigation strategies Partner with the Head of Customer Success to develop scalable methodologies and playbooks for the broader organization Serve as an escalation point for technical issues and complex customer situations within your team's portfolio Collaborate with product and engineering teams to represent customer needs and drive product improvements that enable customer success Support cross-functional initiatives with Sales, Product, and Engineering teams to improve customer outcomes and platform adoption You may be a good fit if you have: 7+ years of experience in technical customer-facing roles, with 3+ years managing customer success or technical teams Track record of building and managing technical success teams at enterprise software or AI/ML companies Hands-on technical experience with API technologies and complex AI/ML concepts, including understanding of LLMs, prompt engineering, and production AI deployments Proven ability to influence product direction through structured customer feedback and data-driven insights Experience owning customer relationships and driving business outcomes at strategic accounts Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strategic mindset with the ability to balance customer success with business objectives Experience building team processes, playbooks, operational frameworks, and using data to drive team and customer outcomes Proven ability to develop team members and build high-performing organizations Passion for responsible AI development and deployment Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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, Technical Success (API)

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 Marketing Insights &amp; Research Manager at Anthropic, you will be part of a team driving data-informed decision making across all brand marketing initiatives. You will be a key member of a comprehensive insights practice that combines rigorous research methodologies with strategic business acumen to unlock deep understanding of our audiences, markets, and the evolving AI landscape. You'll be a trusted advisor to brand marketing, performance marketing and comms leaders, asking the critical questions and providing insights that shape how we communicate Anthropic’s unique positioning in the market and commitment to building safe, reliable AI systems. As we navigate the rapidly evolving AI industry, you'll need to balance long-term strategic thinking with the agility to deliver actionable insights quickly. You will be responsible for scoping, planning and managing qualitative and quantitative research projects and delivering keen insights that help marketing do what they do best: building Anthropic’s brand presence and driving awareness for Claude. This role requires someone who can build robust and rigorous research plans while also being scrappy enough to execute rapid-fire testing when business needs demand it. Responsibilities: Define and execute a comprehensive marketing research roadmap that supports Anthropic's growth objectives and deepens understanding of AI adoption patterns Design, implement, and manage longitudinal studies and brand tracking programs to monitor market perception, competitive positioning, and user sentiment over time Establish rapid-response research capabilities for quick-turn message testing, concept validation, and campaign optimization Lead both quantitative and qualitative research initiatives, selecting the most appropriate methodologies for each business question Partner with business leaders to translate business challenges into actionable research questions Manage relationships with external research vendors and agencies while developing internal research capabilities Present compelling, strategic insights to executives and cross-functional teams, connecting research findings to business implications Collaborate with product, policy, marketing and communications teams to ensure research insights inform decision-making across the organization Stay ahead of industry trends and emerging research methodologies, particularly those relevant to AI and technology adoption You may be a good fit if you: Have 7+ years of experience in marketing research, consumer insights, or related fields Have expertise across multiple research methodologies including advanced quantitative techniques, qualitative approaches, and mixed-methods research Have proven experience designing and managing longitudinal studies, brand trackers, and other complex research programs Are skilled at rapid research execution and know when to prioritize speed versus depth Have exceptional strategic thinking abilities and can identify the underlying questions that drive business success Are an influential communicator who can present complex research findings in compelling, actionable ways to senior executives Have experience working in fast-paced, high-growth technology environments Can balance long-term strategic planning with immediate business needs Are comfortable with ambiguity and can thrive in an evolving industry landscape Strong candidates may also have: Experience researching emerging technologies, AI, or other complex technical products Expertise in advanced analytics, statistical modeling, or data science techniques Experience with global or multi-market research programs Knowledge of research ethics and privacy considerations, particularly relevant to AI applications Academic background in psychology, sociology, market research, or related fields Experience with behavioral research and understanding technology adoption patterns Track record of translating research insights into measurable business outcomes The expected salary range for this position is: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. 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

Marketing Insights Research 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 an MCP Engineer on Anthropic's Enterprise team, you will be a hands-on technical bridge between Anthropic and our strategic partners developing Model Context Protocol (MCP) servers. You will serve as the first line of technical defense for consulting with partners, resolving their technical challenges, and helping&nbsp; accelerate enterprise deployments in critical verticals like Financial Services, Life Sciences, and Healthcare. This role directly impacts our Enterprise business by ensuring partner success in building and deploying MCP integrations at scale. Responsibilities: Review and validate partner MCP server architectures for security, scalability, and enterprise compliance requirements Guide partners through OAuth and enterprise authentication implementations Provide technical consultation on deployment models (remote vs local), infrastructure patterns, and hosting architectures Debug partner integration issues and provide hands-on technical support Triage technical issues and escalate appropriately to relevant teams at Anthropic Help bolster self-serve resources and documentation based on partner feedback Collaborate with product teams to systematize partner feedback for MCP protocol evolution Participate in partner technical forums, developer communities, and industry events Technically contribute to joint solution development and reference architecture creation You may be a good fit if you have: 4+ years of experience in technical partner-facing or customer-facing engineering roles&nbsp; Strong programming skills with ability to debug across multiple languages and frameworks Deep understanding of authentication protocols (OAuth 2.0, SAML, OpenID Connect) and enterprise identity management Deep Experience with API integrations, SDKs, and developer tools Experience developing local and remote MCPs&nbsp; Experience with enterprise deployment patterns, containerization, and cloud infrastructure Passion for developer experience and partner success The expected salary range for this position is: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. 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

MCP 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. About the role We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. Responsibilities: Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may have experience with: Working with large language models and modern transformer architectures Implementing A/B testing frameworks and experimentation infrastructure for ML systems Developing monitoring and alerting systems for ML model performance and data drift Building automated labeling systems and human-in-the-loop workflows Experience in trust &amp; safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements Contributing to open-source ML infrastructure projects Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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

ML Infrastructure 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: Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also. You may be a good fit if you: Have significant software engineering or machine learning experience, particularly at supercomputing scale Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with:&nbsp; High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers Representative projects: Implement low-latency high-throughput sampling for large language models Implement GPU kernels to adapt our models to low-precision inference Write a custom load-balancing algorithm to optimize serving efficiency Build quantitative models of system performance Design and implement a fault-tolerant distributed system running with a complex network topology Debug kernel-level network latency spikes in a containerized environment Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$315,000&mdash;$560,000 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. 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

Performance 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.About the role: As a Safeguards Policy Design Manager, you will be responsible for developing usage policies, clarifying enforcement guidelines, and advising on safety interventions for our products and services. Your core focus will be on mitigating potential risks related to user well-being, including concerns regarding mental health, sycophancy, delusions, and emotional attachment. In addition, you will advise teams on opportunities for promoting well-being, including potential intervention development and supporting beneficial use cases. Safety is core to our mission and you’ll help shape policy creation and development so that our users can safely interact with and build on top of our products in a harmless, helpful and honest way.&nbsp; *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: Serve as an internal subject matter expert, leveraging deep expertise in mental health and well-being to: Draft new policies that help govern the responsible use of our models for emerging capabilities and use cases Design evaluation frameworks for testing model performance in areas of expertise Conduct regular reviews and testing of existing policies to identify and address gaps and ambiguities Review flagged content to drive enforcement and policy improvements Update our usage policies based on feedback collected from external experts, our enforcement team, and edge cases that you will review Work with safeguards product teams to identify and mitigate concerns, and collaborate on designing appropriate interventions Educate and align internal stakeholders around our policies and our approach to safety in your focus area(s) Keep up to date with new and existing AI policy norms and standards, and use these to inform our decision-making on policy areas You may be a good fit if you have experience: As a researcher, subject matter expert, clinician, or trust &amp; safety professional working in one or more of the following focus areas: psychology, mental health, developmental science, or human-AI interaction. Note: For this role, an advanced degree in clinical psychology, counseling psychology, psychiatry, social work, or a related field is preferred. Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions&nbsp; Crafting evidence-based and psychometrically valid definitions for emerging phenomena Working with generative AI products, including writing effective prompts for policy evaluations Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space Thinking creatively about the risks and benefits of new technologies, and leverage data and research to inform policy recommendations Navigating and prioritizing work efforts amidst ambiguity &nbsp; Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$190,000&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. 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 Design Manager, User Well-being

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 team is looking for a Principal Capacity Engineer to lead capacity planning, forecasting, and optimizing of our global infrastructure fleet. You’ll work closely with research, engineering, and finance teams to ensure we have scalable systems for capacity management, high-quality data and insights for planning, and engineering roadmaps that deliver efficiency wins and increase total effective compute. Experience with capacity management for AI workloads is preferred. Responsibilities: Design, develop, and deliver capacity management systems for AI workloads on heterogenous infrastructure Build and maintain robust attribution of usage and enable in-depth data-driven insights Oversee design and implementation of planning tools and systems-level guardrails for capacity planning and quota management Build a deep understanding of research and training workloads to accurately model cost-to-serve and cost-to-train Proactively identify efficiency opportunities and collaborate with teams across the org to increase total effective compute for Anthropic Partner closely with Finance and leadership, providing detailed and clear capacity inputs for financial planning and strategic decision making &nbsp;You may be a good fit if you: Have experience working on capacity at a major cloud provider or hyperscaler company Have experience driving cross-functional projects and interfacing with technical and non-technical stakeholders. Have experience working with LLMs and/or a deep interest in learning about model training and serving efficiency Are comfortable leveraging data and have experience building observability for complex systems Have strong interpersonal skills that enable you to influence without authority and build cross-organizational support for capacity initiatives. Strong candidates may also have some of the following: Past experience as a lead capacity engineer Past experience partnering with senior leadership Past experience working on model training or model inference Representative Projects: Building a system for capacity planning and optimizing resource allocation for model training, inference, and research Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is: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. 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

Principal Capacity Engineer, Compute

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're seeking a Procurement Operations Business Partner to support Anthropic's compute infrastructure. This role will be instrumental in managing procurement operations for our growing AI compute capacity. You'll work with our Infrastructure, Security, and Engineering teams to ensure efficient procurement workflows while maintaining financial discipline during this unprecedented scaling phase. This position sits at the intersection of cutting-edge AI infrastructure and strategic financial operations. You'll manage complex multi-party relationships and help establish procurement frameworks as we scale our compute capabilities to support our AI research and product roadmap.This person will be managing some of Anthropic's largest capital decisions and most complex vendor relationships during a critical scaling phase. Responsibilities: Review and validate Purchase Requests in Zip for appropriate documentation, contract alignment, and accurate accounting treatment Manage Purchase Orders including reviews, updates, and closure when fully billed or no longer expected, maintaining organized tracking systems across high volumes of POs to ensure accurate project mapping and monitoring throughout the PO lifecycle Provide invoice coding guidance to AP team for non-PO invoices and complex transactions Conduct vendor analysis to identify cost savings opportunities and support business negotiations with data-driven insights Conduct financial analysis, including explaining budget vs. actual and flux variance drivers, and identifying early indicators of over/under pacing against budget targets Lead process improvement initiatives to standardize workflows and drive automation across departments Support month-end close activities including expense reviews, accruals, and reclass journal entries Train and onboard business owners and vendors on procurement processes and best practices Develop vendor relationships to drive strategic value and optimize performance across the organization You may be a good fit if you have: 7+ years of experience in procurement, with 2+ years in datacenter infrastructure operations Understanding of compute infrastructure components (servers, GPUs/TPUs, networking, storage) Experience managing high-value, complex procurement relationships Strong understanding of 2-way and 3-way match procure-to-pay processes and purchase order management Experience with procurement systems (Zip, Coupa, or similar) Capital-intensive procurement experience with datacenter buildouts, power infrastructure, and understanding components of long-lead-time equipment procurement Supply chain risk management for semiconductor/GPU shortages and vendor concentration risks Proven track record of process improvement and workflow optimization Analytical skills for vendor analysis, cost savings identification, and budget tracking Cross-functional collaboration experience working with diverse business stakeholders Business partnership mindset with ability to translate complex processes for non-finance users Growth company experience comfortable with ambiguity and rapid scaling environments Strong candidates may have: Bachelor's degree in Finance, Accounting, Business, or related field Experience with AI/ML infrastructure procurement (GPUs, TPUs, high-performance computing) Knowledge of datacenter operations including power, cooling, and space planning Familiarity with cloud procurement models and enterprise agreements Background working with hyperscale cloud providers (AWS, Google Cloud, Azure) Awareness of supply chain challenges in semiconductor industry Understanding of datacenter security and compliance standards Background in vendor management and strategic relationship development Familiarity with SOX compliance and financial control frameworks Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$190,000&mdash;$230,000 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. 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

Procurement Operations Business Partner, 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 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 R&amp;D Strategic Sourcing Business Partner to lead strategic sourcing initiatives that enable our cutting-edge research and development capabilities. This role will develop and execute comprehensive sourcing strategies for compute infrastructure, cloud platforms, human data annotation services, and emerging research technologies. You'll build strategic supplier relationships that go beyond cost optimization to drive innovation, competitive advantage, and operational excellence. As a key strategic partner to R&amp;D leadership, you'll translate research objectives into sourcing strategies that accelerate breakthrough AI development while building sustainable supplier ecosystems. Responsibilities: Strategic Category Management Develop comprehensive sourcing strategies for R&amp;D categories including compute infrastructure, cloud platforms, human data annotation, research software, and emerging AI technologies Conduct market analysis and competitive intelligence to identify optimal supplier strategies and emerging opportunities Create total cost of ownership models for complex R&amp;D technology investments and strategic partnerships Strategic Supplier Relationship Management Build and manage strategic partnerships with key technology suppliers including cloud providers, GPU manufacturers, research platform vendors, and data annotation services Negotiate complex, multi-year agreements that optimize cost, innovation, and strategic value Establish supplier innovation programs and collaboration frameworks to accelerate R&amp;D capabilities Strategic Procurement Leadership Lead sophisticated RFP processes for high-value, complex R&amp;D infrastructure and services Manage strategic contract negotiations including master agreements, enterprise partnerships, and innovation collaborations Develop supplier performance management frameworks and strategic scorecards Market Intelligence &amp; Innovation Continuously monitor emerging technologies, supplier capabilities, and market trends relevant to AI/ML research Identify opportunities for strategic supplier partnerships that drive competitive advantage Evaluate and onboard innovative suppliers that can accelerate research capabilities Strategic Business Partnership Partner with R&amp;D leadership to align sourcing strategies with research roadmaps and technical objectives Collaborate with Finance, Legal, and Security teams to ensure strategic sourcing supports business objectives Present strategic sourcing recommendations and business cases to executive leadership You may be a good fit if you have: 5-7+ years of strategic sourcing experience with focus on technology, infrastructure, or R&amp;D services Demonstrated experience developing category strategies and managing complex supplier relationships Proven track record of negotiating high-value, strategic technology agreements (multi-million dollar contracts) Experience with strategic supplier relationship management and innovation partnerships Strong analytical skills for market analysis, total cost of ownership modeling, and strategic business case development Executive communication capabilities with experience presenting to senior leadership Experience in high-growth technology companies or AI/ML environments Strategic thinking ability with talent for translating business objectives into sourcing strategies Strong candidates may have: MBA or advanced degree in Business, Engineering, or related field Professional certifications in strategic sourcing or procurement (CPSM, CSCP) Experience with cloud platform strategic sourcing and enterprise-scale infrastructure agreements Background in human data annotation strategic sourcing and quality management frameworks Knowledge of AI/ML research requirements and emerging technology landscape Experience building strategic sourcing functions from startup through scale Track record of driving supplier innovation and strategic partnerships beyond traditional sourcing Requirements: Strategic sourcing methodology expertise Contract negotiation &amp; management for complex technology agreements Market research &amp; analysis capabilities Executive-level communication and presentation skills Financial modeling for strategic sourcing decisions Supplier relationship management at strategic level The expected salary range for this position is:Annual Salary:$190,000&mdash;$230,000 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. 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

Procurement Operations Business Partner, R&D

anthropic

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; As a Product Manager for our API team at Anthropic, you will drive the development and adoption of our API platform across enterprise organizations. You'll own the end-to-end enterprise API experience, focusing on building scalable, secure, and compliant solutions that enable organizations to confidently integrate Claude into their systems and workflows. Working at the intersection of developer experience and enterprise needs, you'll transform our API into a trusted enterprise solution that delivers measurable value across teams and functions. Responsibilities: Customer Understanding &amp; Advocacy Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points Run regular feedback sessions and technical reviews with key enterprise customers Build strong relationships with enterprise development teams to understand their workflows and challenges Transform customer insights into actionable product requirements and priorities Product Strategy &amp; Vision Define and execute the enterprise API strategy, balancing security requirements with developer experience Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities Identify and prioritize key enterprise integration patterns that drive organizational value Enterprise API Development Partner with engineering to build enterprise-grade API features, security controls, and deployment tools Design and implement enterprise integration frameworks and SDKs for common enterprise systems Drive development of industry-specific API features and compliance capabilities Cross-functional Leadership Partner with sales and customer success to understand enterprise requirements and support technical evaluations Work closely with security and compliance teams to meet enterprise standards Collaborate with platform teams on API architecture and scalability Engage with marketing to develop enterprise API positioning and technical materials You may be a good fit if you have: 5+ years of product management experience, with significant experience in API and enterprise software Strong technical background with understanding of API architecture and integration patterns Track record of successfully launching and scaling enterprise API products Demonstrated ability to build strong relationships with technical customers and translate their needs into product features Strong understanding of enterprise security, compliance, and deployment requirements Proficiency in with business analytics and experience with data-driven decision making Excellence in cross-functional collaboration and stakeholder management Clear communication skills with ability to engage with both technical and business stakeholders The expected salary range for this position is: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. 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 Manager, API

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 B2B Growth, you will play a crucial role in driving usage and monetization growth for our Team and Enterprise products. You'll work closely with a cross-functional team of engineers, designers, data scientists, marketers, account executives, and customer success representatives to develop and execute strategies that accelerate growth while maintaining our commitment to safety and beneficial AI. Responsibilities: Develop and execute a product strategy focused on acquisition, monetization, virality, and retention within a business context Lead the ideation, development, and launch of features that drive growth across our Team and Enterprise product suite Scale a product-led growth motion that includes effective on-ramps to our sales team Analyze product metrics and user feedback to identify opportunities and optimize performance Collaborate with engineering, design, sales, and customer success teams to deliver high-impact growth initiatives Conduct user research to understand customer needs and pain points Define and track key performance indicators (KPIs) for growth initiatives Balance rapid iteration with our commitment to AI safety and ethics You may be a good fit if you: 6-10 years of product management experience, majority in growth focused roles Experience with product-led growth in business and enterprise contexts Strong analytical skills with experience in data-driven decision making Experience with A/B testing and user funnel optimization techniques Excellent communication and stakeholder management skills Ability to thrive in a fast-paced, ambiguous environment Passion for AI technology and its potential impact on society Technical background or ability to work effectively with engineering teams Founder experience is a plus The expected salary range for this position is:Annual Salary:$275,000&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. 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 Manager, B2B Growth

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 Claude Code, you will drive the adoption of Claude Code in the enterprise with the goal of making Claude Code the most widely used and trusted product for professional engineers to get work done. You will own working closely with our enterprise customers, understand their requirements, and build features that unlock adoption and that increase Claude Code’s utility.&nbsp; In just a few months since launch, Claude Code has already redefined how developers interact with AI. Yet we are only scratching the surface. As model intelligence accelerates, the ultimate form factor of agentic software development remains unwritten. We seek a product manager who combines deep technical understanding, genuine love for developers, strong product intuition, and passion for making enterprises successful. You should be equally comfortable discussing customer feedback with world-class researchers, debugging user workflows with engineers, and presenting product strategy to executives. Responsibilities: Define and execute the product vision and strategy to make Claude Code accessible and valuable to enterprise users Identify and prioritize key features that drive sustainable business growth Own pricing, packaging, and enterprise go-to-market strategy You might be a good fit if you: Have combined 5+ years in product management, with experience launching new products and scaling existing technical products.&nbsp; Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. A data-driven mindset with Python and SQL working proficiency is a must. Have a track record of launching ambitious products that have achieved distribution or commercial success with enterprise customers.&nbsp; Stay up-to-date and hands-on with emerging research and industry trends Have a creative, hacker spirit and love solving puzzles The expected salary range for this position is:Annual Salary:$285,000&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. 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 Manager, Claude Code (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 Product Manager for Claude Code, you will drive the adoption of the Claude Code platform including the Claude Code SDK, a developer ecosystem, and bringing Claude Code to more surfaces. For the SDK, the goal is to be the best way for developers to use Claude Code in automation and the best way for developers to build their own agentic products even beyond coding. You will work closely with customers, understand their requirements, and prioritize improvements to the SDK.&nbsp; In just a few months since launch, Claude Code has already redefined how developers interact with AI. Yet we are only scratching the surface. As model intelligence accelerates, the ultimate form factor of agentic software development remains unwritten. We seek a product manager who combines deep technical understanding, genuine love for developers, and strong product intuition. You should be equally comfortable discussing customer feedback with world-class researchers, debugging user workflows with engineers, and presenting product strategy to executives. Responsibilities: Define the roadmap and playbook that enables developers to build on the Claude Code SDK Translate cutting-edge AI advances into practical developer features Build an ecosystem around the SDK so that developers can easily share best practices You might be a good fit if you: Have a combined 5+ years in product management and engineering, with experience launching new products and scaling existing technical products. Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. A data-driven mindset with Python and SQL working proficiency is a must. Have a track record of launching ambitious products that have achieved distribution or commercial success. Experience in dev tools is preferred. Stay up-to-date and hands-on with emerging research and industry trends Have a creative, hacker spirit and love solving puzzles The expected salary range for this position is:Annual Salary:$285,000&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. 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 Manager, Claude Code (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 Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize 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 have experience rapidly prototyping and launching innovative technologies and product. You thrive in ambiguous environments and accelerate research velocity into products. Your curiosity to understand user needs enables you to connect advanced technology to products delivering real-world value. Responsibilities: Lead vision, strategy, roadmap and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Rapidly prototype and experiment with different products and services to validate product market fit Synthesize user insights into actionable product requirements, user stories, and product specifications Analyze metrics to inform future product development&nbsp; Understand AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position Ability to work and influence across a diverse set of stakeholders, including research as well as product engineering and platform engineering You may be a good fit if you have: 5+ years in product management, experience launching new products and scaling existing products Technical background with experience working cross functionally with engineering teams to ship technical products Experience working with or applying Large Language Models in products Experience in the AI or machine learning industry Data-driven mindset with Python and SQL working proficiency a must 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 Track record of launching products that have found distribution or commercial success Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication Passion for using AI to create safe and beneficial products Think creatively about the risks and benefits of new technologies, and think beyond checklists and playbooks You stay up-to-date and informed by taking an active interest in emerging research and industry trends Have a creative hacker spirit and love solving puzzles Deadline to apply:&nbsp;None. Applications will be reviewed on a rolling basis.&nbsp;The expected salary range for this position is:Annual Salary:$275,000&mdash;$375,000 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. 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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