Coursera is an online learning platform founded in 2012 that offers a wide range of courses, specializations, and degrees from top universities and institutions around the world. With a mission to provide universal access to education, Coursera has revolutionized the way people learn by leveraging technology to make high-quality education more accessible and affordable. Through its innovative platform, Coursera has empowered millions of learners to acquire new skills, advance their careers, and pursue their passions.

coursera

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div><h3>Job Overview</h3>
We are looking for a Senior Product Manager, Applied AI to own customer deployments from initial discovery and product scoping through delivery, adoption, and value realization.
In this role, you will work directly with enterprise customers to understand their most important workflows, translate business objectives into clear product and technical requirements, and build a sequenced deployment roadmap. You will partner closely with Forward Deployed Engineers, internal Product and Engineering teams, and cross-functional partners across Sales, Customer Success, Data, Security, Legal, Finance, and Operations.
You will serve as the product owner for the customer engagement: accountable for the problem being solved, the scope and success criteria, the deployment roadmap, and the business value ultimately delivered. You will also help identify which customer needs represent repeatable product opportunities and work with the internal teams to incorporate those insights into the broader product roadmap.
This is an opportunity to join an emerging motion at an early stage and requires people with entrepreneurial mindset. Beyond delivering individual customer engagements, you will help define the product, operating model, playbooks, and decision frameworks required to scale this new product and motion.
<h3>What You’ll Do</h3>
Own Customer Discovery and Product Strategy
<ul>
<li>Build trusted relationships with customer executives, business leaders, technical stakeholders, and end users.</li>
<li>Lead discovery to understand customer objectives, workflows, user needs, data and technical constraints, and desired business outcomes.</li>
<li>Identify and prioritize high-value use cases, define the minimum viable deployment, and establish clear success and acceptance criteria.</li>
<li>Translate ambiguous customer problems into clear product requirements, prioritization decisions, and a sequenced product and deployment roadmap.</li>
</ul>
Lead End-to-End Customer Deployment
<ul>
<li>Translate customer objectives into a clear product and deployment roadmap covering milestones, workstreams, dependencies, risks, decision points, and launch criteria.</li>
<li>Create high-quality product artifacts, including problem statements, product requirements, workflow definitions, user stories, acceptance criteria, prioritization frameworks, and executive decision documents.</li>
<li>Own delivery governance across Coursera and customer teams, maintaining clarity on scope, timelines, responsibilities, risks, and unresolved decisions.</li>
</ul>
Partner on Technical Solution Design and Deployment
<ul>
<li>Work closely with Forward Deployed Engineers and internal Engineering teams to translate business workflows into deployable technical solutions.</li>
<li>Participate credibly in discussions involving system architecture, APIs, data flows, integrations, identity and access management, infrastructure, security, privacy, scalability, reliability, and deployment models.</li>
<li>Evaluate technical and product trade-offs, challenge assumptions, and ensure that proposed solutions are feasible, supportable, secure, and aligned with customer outcomes.</li>
<li>Partner with engineering teams on AI-specific considerations such as data quality, evaluation approaches, human oversight, model limitations, responsible AI, and production-readiness criteria.</li>
</ul>
Own Business Value and Create Product Leverage
<ul>
<li>Define the value hypothesis for each customer engagement and establish the business, adoption, and product metrics required to measure success.</li>
<li>Evaluate effort, implementation complexity, cost-to-serve, and expected customer value when making scope and prioritization decisions.</li>
<li>Partner with Sales, Finance, Legal, and Customer Success on scope boundaries, business cases, commercial assumptions, and material changes to customer engagements.</li>
<li>Translate deployment results into clear narratives on adoption, ROI, customer impact, and future opportunities.</li>
<li>Identify recurring customer workflows, requirements, and technical patterns that can become reusable product capabilities.</li>
<li>Partner with Product and Engineering teams to bring field insights into the broader roadmap and build repeatable discovery, scoping, deployment, and measurement playbooks.</li>
</ul>
<h3>What We’re Looking For</h3>
<ul>
<li>8+ years of relevant experience across B2B product management, enterprise software, technical consulting, solutions delivery, or related roles, with clear ownership of product or customer outcomes.</li>
<li>Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoption.</li>
<li>Experience working with B2B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflows.</li>
<li>Strong customer-facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors.</li>
<li>Excellent product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomes.</li>
<li>Strong program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive-level communication.</li>
<li>Strong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery.</li>
<li>Strong understanding of AI- and LLM-enabled products, including where these technologies create value, their limitations, and the considerations involved in deploying them in enterprise workflows.</li>
<li>Hands-on prototyping experience with AI-assisted or low-code development tools such as Claude, Cursor, Lovable, Retool, or similar platforms.</li>
<li>Financial and commercial acumen, including experience evaluating business cases, effort versus value, delivery economics, ROI, and the implications of scope and prioritization decisions.</li>
<li>Ability to operate effectively in ambiguity, influence cross-functional teams without formal authority, and communicate equally well with executives, product teams, and engineers.</li>
<li>Willingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagements.</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>Experience deploying AI, machine-learning, LLM, RAG, or agentic solutions into production enterprise environments.</li>
<li>Familiarity with AI evaluation, guardrails, human-in-the-loop workflows, observability, model performance, and responsible-AI practices.</li>
<li>Experience working in education technology, workforce transformation, talent intelligence, skills, learning platforms, or other enterprise environments involving complex stakeholder and data ecosystems.</li>
<li>Experience delivering products or programs across multiple regions, industries, or regulatory environments.</li>
</ul>
<h3>Why join us?</h3>
<ul>
<li>Help build a new motion from the ground up. You will play a formative role in defining how Coursera scopes, delivers, measures, and scales customer-facing AI solutions.</li>
<li>Own the complete customer-to-product loop. Work directly with enterprise leaders, partner with Forward Deployed Engineers, see solutions move into production, and use field learning to shape reusable product capabilities.</li>
<li>Move beyond experimentation. This role is accountable not only for prototypes or recommendations, but for adoption, operationalization, and measurable customer value.</li>
<li>Work on consequential problems. Apply AI and product thinking to complex workforce, learning, and organizational challenges faced by institutions around the world.</li>
<li>Operate with meaningful autonomy. Join a high-ownership, cross-functional team that values speed, rigorous product thinking, practical execution, and demonstrated business impact.</li>
<li>Contribute to Coursera’s mission. Help organizations build the capabilities they need while advancing Coursera’s mission to transform lives through learning.</li>
</ul><div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

Senior Product Manager, Applied AI

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div><h3>Job Overview</h3>
We are looking for a Senior Product Manager, Applied AI to own customer deployments from initial discovery and product scoping through delivery, adoption, and value realization.
In this role, you will work directly with enterprise customers to understand their most important workflows, translate business objectives into clear product and technical requirements, and build a sequenced deployment roadmap. You will partner closely with Forward Deployed Engineers, internal Product and Engineering teams, and cross-functional partners across Sales, Customer Success, Data, Security, Legal, Finance, and Operations.
You will serve as the product owner for the customer engagement: accountable for the problem being solved, the scope and success criteria, the deployment roadmap, and the business value ultimately delivered. You will also help identify which customer needs represent repeatable product opportunities and work with the internal teams to incorporate those insights into the broader product roadmap.
This is an opportunity to join an emerging motion at an early stage and requires people with entrepreneurial mindset. Beyond delivering individual customer engagements, you will help define the product, operating model, playbooks, and decision frameworks required to scale this new product and motion.
<h3>What You’ll Do</h3>
Own Customer Discovery and Product Strategy
<ul>
<li>Build trusted relationships with customer executives, business leaders, technical stakeholders, and end users.</li>
<li>Lead discovery to understand customer objectives, workflows, user needs, data and technical constraints, and desired business outcomes.</li>
<li>Identify and prioritize high-value use cases, define the minimum viable deployment, and establish clear success and acceptance criteria.</li>
<li>Translate ambiguous customer problems into clear product requirements, prioritization decisions, and a sequenced product and deployment roadmap.</li>
</ul>
Lead End-to-End Customer Deployment
<ul>
<li>Translate customer objectives into a clear product and deployment roadmap covering milestones, workstreams, dependencies, risks, decision points, and launch criteria.</li>
<li>Create high-quality product artifacts, including problem statements, product requirements, workflow definitions, user stories, acceptance criteria, prioritization frameworks, and executive decision documents.</li>
<li>Own delivery governance across Coursera + Udemy and customer teams, maintaining clarity on scope, timelines, responsibilities, risks, and unresolved decisions.</li>
</ul>
Partner on Technical Solution Design and Deployment
<ul>
<li>Work closely with Forward Deployed Engineers and internal Engineering teams to translate business workflows into deployable technical solutions.</li>
<li>Participate credibly in discussions involving system architecture, APIs, data flows, integrations, identity and access management, infrastructure, security, privacy, scalability, reliability, and deployment models.</li>
<li>Evaluate technical and product trade-offs, challenge assumptions, and ensure that proposed solutions are feasible, supportable, secure, and aligned with customer outcomes.</li>
<li>Partner with engineering teams on AI-specific considerations such as data quality, evaluation approaches, human oversight, model limitations, responsible AI, and production-readiness criteria.</li>
</ul>
Own Business Value and Create Product Leverage
<ul>
<li>Define the value hypothesis for each customer engagement and establish the business, adoption, and product metrics required to measure success.</li>
<li>Evaluate effort, implementation complexity, cost-to-serve, and expected customer value when making scope and prioritization decisions.</li>
<li>Partner with Sales, Finance, Legal, and Customer Success on scope boundaries, business cases, commercial assumptions, and material changes to customer engagements.</li>
<li>Translate deployment results into clear narratives on adoption, ROI, customer impact, and future opportunities.</li>
<li>Identify recurring customer workflows, requirements, and technical patterns that can become reusable product capabilities.</li>
<li>Partner with Product and Engineering teams to bring field insights into the broader roadmap and build repeatable discovery, scoping, deployment, and measurement playbooks.</li>
</ul>
<h3>What We’re Looking For</h3>
<ul>
<li>8+ years of relevant experience across B2B product management, enterprise software, technical consulting, solutions delivery, or related roles, with clear ownership of product or customer outcomes.</li>
<li>Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoption.</li>
<li>Experience working with B2B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflows.</li>
<li>Strong customer-facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors.</li>
<li>Excellent product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomes.</li>
<li>Strong program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive-level communication.</li>
<li>Strong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery.</li>
<li>Strong understanding of AI- and LLM-enabled products, including where these technologies create value, their limitations, and the considerations involved in deploying them in enterprise workflows.</li>
<li>Hands-on prototyping experience with AI-assisted or low-code development tools such as Claude, Cursor, Lovable, Retool, or similar platforms.</li>
<li>Financial and commercial acumen, including experience evaluating business cases, effort versus value, delivery economics, ROI, and the implications of scope and prioritization decisions.</li>
<li>Ability to operate effectively in ambiguity, influence cross-functional teams without formal authority, and communicate equally well with executives, product teams, and engineers.</li>
<li>Willingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagements.</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>Experience deploying AI, machine-learning, LLM, RAG, or agentic solutions into production enterprise environments.</li>
<li>Familiarity with AI evaluation, guardrails, human-in-the-loop workflows, observability, model performance, and responsible-AI practices.</li>
<li>Experience working in education technology, workforce transformation, talent intelligence, skills, learning platforms, or other enterprise environments involving complex stakeholder and data ecosystems.</li>
<li>Experience delivering products or programs across multiple regions, industries, or regulatory environments.</li>
</ul>
<h3>Why join us?</h3>
<ul>
<li>Help build a new motion from the ground up. You will play a formative role in defining how Coursera + Udemy scopes, delivers, measures, and scales customer-facing AI solutions.</li>
<li>Own the complete customer-to-product loop. Work directly with enterprise leaders, partner with Forward Deployed Engineers, see solutions move into production, and use field learning to shape reusable product capabilities.</li>
<li>Move beyond experimentation. This role is accountable not only for prototypes or recommendations, but for adoption, operationalization, and measurable customer value.</li>
<li>Work on consequential problems. Apply AI and product thinking to complex workforce, learning, and organizational challenges faced by institutions around the world.</li>
<li>Operate with meaningful autonomy. Join a high-ownership, cross-functional team that values speed, rigorous product thinking, practical execution, and demonstrated business impact.</li>
<li>Contribute to Coursera + Udemy’s mission. Help organizations build the capabilities they need while advancing Coursera + Udemy’s mission to transform lives through learning.</li>
</ul>
<div>Compensation</div>
<div>Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is [$164,000 - $205,000]. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.</div>
&nbsp;<div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div>About this role:&nbsp; In this pivotal role, you will set the strategic vision for Coursera's search experience across our diverse product suite by working collaboratively with cross-functional teams to ensure a seamless, personalized and ML/AI driven learner experience. &nbsp;The best candidates are extremely hands‑on, obsessed with the learner journey, and opinionated about how AI can make finding the right course, credential, or skill path effortless for a global, multilingual audience.
You will collaborate with engineering, design, research, data science, ML, &nbsp;and university partnership teams to contribute to the development of your product roadmap. You will be in close collaboration with marketing, partnership managers, and growth product teams to ensure the successful growth of the product.&nbsp;
About your skills:&nbsp; You've built consumer products at scale - ideally high‑intent search or marketplace experiences and deeply understand what makes discovery intuitive, trustworthy, and indispensable. &nbsp;You've shipped experiences people love and return to. &nbsp;You bring an "owner" mindset: biased toward action, a great collaborator, a master simplifier, and someone who pushes towards clarity and delivery. &nbsp;You are user-first, understand and speak in terms of user value propositions, and creatively inspire users to try the product. &nbsp;You hold a high bar across the board - from your own contributions to the people you work with, to the products you work on.
What you'll be doing:&nbsp; Set the vision for next-generation capabilities that help users discover the right learning content by creating a compelling, hyper-relevant and personalized search experience&nbsp; Own conversational search across Coursera, working with other product teams to ensure a seamless and integrated AI experience for learners throughout the learner journey&nbsp; Improve the accuracy of search results through innovative tactics, leveraging advances in IR/ML, embeddings, and LLMs to improve query understanding, semantic and multilingual search, personalized ranking, and much more&nbsp; Employ rapid experimentation techniques to understand evolving market trends, user behaviors, and potential opportunities&nbsp; Utilize market trends and competitor analysis to identify opportunities for revenue growth and innovative ways to personalize the learner experience Define and track key performance indicators (KPIs) to measure the effectiveness of conversion and merchandising efforts to make data-driven recommendations for continuous improvement&nbsp; Work closely with Marketing and other Product teams to align conversion strategies with overall business objectives and revenue targets
Qualifications:&nbsp; 5+ years of product management experience with direct responsibility over the success of a consumer-facing product and driving revenue&nbsp; 2+ years of PM experience working on search, personalization, or recommendation features&nbsp; Proven track record of successfully delivering complex and impactful product initiatives from ideation to launch&nbsp; Experience using a combination of quantitative (A/B testing and multivariate experimentation) as well as qualitative research methods to prioritize and validate ideas&nbsp; Demonstrated ability to influence and inspire cross-functional teams through communication and collaboration&nbsp; Direct experience in scaling platform-level capabilities that serve multiple use cases • 4+ years in a product team at a large ecommerce company (preferred)&nbsp; 0-to-1 experience taking products from idea to launch, with proven results post-launch (preferred)&nbsp; Bachelor's degree in a technical or relevant field (preferred)
Compensation At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are. Zone 1: $188,400 - $235,500 Zone 2: $182,400 - $228,000 Zone 3: $167,200 - $209,000 Zone 4: $156,000 - $195,000
US Pay Zones: US-Z1: Bay Area (within 75 miles) US-Z2: NYC and Seattle Metro (within 75 miles) US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI<div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

Staff Product Manager, Search

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div>Job Overview
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit at the intersection of AI/Data Engineering, cloud and security architecture, and customer-facing solutioning — working hands-on with customers to map their workflows and data, prototype solutions quickly, and harden the ones that prove valuable into production deployments.
You'll operate across the full engagement lifecycle: scoping a customer's environment and pain points like a consultant, prototyping working demos in real time with the customer, and then hardening the strongest patterns into production-grade, secure and compliant deployments. This role is customer-facing and will require regular travel to customer sites (domestic and occasionally international) for discovery, prototyping, and go-live phases of engagements. You will work closely with Product Managers, AI Specialists, Data Analysts, and other Engineers on the team, and directly with customer executive sponsors and IT/data owners, to decide what gets standardized, deployed, or retired.
Key Responsibilities
<ul>
<li>Scope customer environments directly with executive sponsors and IT/data owners — mapping systems, data models, and workflows to identify the real business problem, not just the stated one</li>
<li>Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove value fast</li>
<li>Serve as the bridge between customer &amp; core engineering team to harden validated prototypes into production deployments</li>
<li>Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures, as per customer's data residency, privacy, and IT-maturity requirements</li>
<li>Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments</li>
<li>Bring security, data-residency and compliance judgment into discovery conversations before a commercial commitment is made, not after</li>
<li>Own CI/CD, observability, and production support for systems living inside customer environments</li>
<li>Recognize repeatable patterns across customer engagements and feed field evidence back to Product to inform what should be standardized, deployed more broadly, or retired</li>
<li>Collaborate closely with Product Managers, AI Specialists, and Program Managers to scope problem statements with a laser focus on customer and business impact</li>
<li>Travel to customer sites as needed (expect regular travel) to support scoping, prototyping, and go-live phases of an engagement, including in-person workshops and executive readouts</li>
</ul>
Basic Qualifications
<ul>
<li>5+ years of experience in a software engineering role, with strong hands-on backend engineering and cloud infrastructure experience</li>
<li>1+ years of experience building production-grade agentic AI solutions</li>
<li>Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack</li>
<li>Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models</li>
<li>Strong experience with data engineering fundamentals — ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems</li>
<li>Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments</li>
<li>Demonstrated comfort operating directly with customers — scoping ambiguous problems, running discovery, and demoing work-in-progress solutions live, in person and remotely</li>
<li>Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, as engagement needs require</li>
<li>Prior experience leading projects and debugging complex issues with minimal supervision</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with modern agentic AI tooling such as LangChain, LangGraph, FastMCP, RAG, or MCP</li>
<li>Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers</li>
<li>Prior experience in a solutions engineering, professional services, or technical consulting role where you owned a customer relationship end-to-end, including on-site engagement</li>
<li>Familiarity with data privacy and residency regimes relevant to enterprise/education/government customers (e.g., GDPR, FERPA, DPDPA, HIPAA)</li>
<li>Demonstrated ability to work in a fast-paced, ambiguous environment and make sound technical trade-offs with limited guidance</li>
<li>Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on</li>
</ul>
Why Join Us?
<ul>
<li>Work on high-visibility engineering problems with direct, measurable impact on enterprise and campus customers</li>
<li>Work directly with strategic customers across geographies, owning engagements end-to-end rather than a narrow slice of a roadmap</li>
<li>Directly influence what graduates from customer-facing custom solutions into Coursera's core product</li>
<li>Be part of a lean, cross-functional team (Engineering, AI Specialists, Product, Program Management) with high autonomy and high trust and become a go-to technical leader</li>
<li>Be part of a mission-driven company transforming global access to education and upskilling in the AI era</li>
</ul>
#LI-C&nbsp;<div class="content-conclusion">For more information about how Coursera + Udemy collects and uses your personal information, please see our&nbsp;<a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/eba0875041db9b79892abad2b9e961e2/Coursera-Udemy-Global-Applicant-Privacy-Notice.pdf" target="_blank">Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

Senior Software Engineer, Applied AI and Customer Solutions

<div class="content-intro">About Coursera
Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our <a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.&nbsp;
We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.</div>Job Overview 
As a&nbsp;Senior Software Engineer, you will join a fast-paced innovation team in Coursera working on exciting pillars such as org-wide AI Enablement and Functional Transformation. This team builds and maintains the infrastructure &amp; tooling required to drive meaningful AI adoption across the organization, providing a platform for more team members beyond just engineering to build and deploy tools and transforming entire business functions into AI-native operating models.
You will have the opportunity to work on complex technical challenges, and influence the future roadmap, growth and success of Coursera's AI culture. You will work closely with a cross functional team of Software Engineers, AI Specialists and Tech Innovation Strategists - leading architecture, owning technical decisions and ensuring end-to-end delivery throughout the SDLC.
Key Responsibilities
<ul>
<li>Build, scale and maintain the infrastructure and platform required for agentic AI solutions with org-wide usage and adoption</li>
<li>Lead architecture and technical design while ensuring high availability, reliability and scalability in our systems</li>
<li>Collaborate closely with Product Managers and Tech Innovation Strategists to scope out problem statements and narrow down requirements with a laser focus on impact delivered to end users and stakeholders</li>
<li>Set a high standard of excellence for engineering culture and developer experience in the team by leading code reviews, mentoring junior engineers and building stronger processes</li>
<li>Participate in sprint planning, technical grooming, and retrospective discussions</li>
</ul>
Basic Qualifications
<ul>
<li>5+ years of experience in a software engineering role - with a strong background in backend engineering and cloud infrastructure</li>
<li>1+ years of experience building production-grade agentic AI solutions</li>
<li>Proficiency in backend languages such as Python, Java, Node.js or Go and technologies such as Docker, Kubernetes and Kafka</li>
<li>Strong experience in implementing APIs and writing E2E automated tests</li>
<li>Deep understanding of cloud platforms (AWS, GCP, or Azure), able to work with self-hosted as well as managed services</li>
<li>Expertise in infrastructure as code tools like Terraform and CI/CD solutions such as GitHub Actions or Jenkins</li>
<li>Fervent belief in engineering quality and building technical leverage for others</li>
<li>Prior experience in leading projects and debugging complex issues with minimal supervision</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with modern evolving technologies on agentic AI such as RAG, MCP, LangGraph, etc.</li>
<li>Demonstrated ability to work in a fast-paced and dynamic environment, and navigate through ambiguity and uncertainty with confidence</li>
<li>Proven track record of delivering results in a resource-constrained environment with limited guidance and supervision</li>
<li>Excellent communication skills, ability to collaborate with cross-functional teams with a proactive mindset</li>
</ul>
Why Join Us?
<ul>
<li>Solve real-world challenges that drive real impact across Coursera’s business functions</li>
<li>Work with a supportive and innovative team with a drive for continuous improvement</li>
<li>Become a go-to technical leader in the team and shape the internal developer experience</li>
<li>Be part of a mission-driven company transforming global access to education and upskilling in the AI era</li>
</ul><div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Global%20Applicant%20Privacy%20Notice.docx%20(1).pdf" target="_blank">Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

Senior Software Engineer (Infrastructure)

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div><h3>About this Role:</h3>
As a Staff Software Developer on the Monetization team, you'll lead technical initiatives and take significant ownership over service architecture, product API development, and data modeling. You'll design and iterate at startup speed, working with modern Java, MySQL, DynamoDB, gRPC, GraphQL, Kafka, and microservices architecture. In this role, you'll balance hands-on development with technical leadership, collaborating across product and engineering to shape both technical decisions and business outcomes.
&nbsp;
<h3 data-path-to-node="1">About your skills:</h3>
Software Engineering
Core competency for designing, developing, and maintaining backend systems at scale.
Technical Design
Essential for architecting scalable microservices and data modeling solutions.
Agile Product Development
Essential for fast-moving team environment with frequent deployments and iterative development cycles.
&nbsp;
<h3 data-path-to-node="4">What you’ll be doing:</h3>
<ul data-path-to-node="5">
<li>
Design and implement scalable systems and infrastructures that support Coursera's backend services
</li>
<li>
Measure your work thoroughly, analyze results, and generate hypotheses to drive new product changes through A/B testing
</li>
<li>
Set up monitoring and testing of your APIs and services to understand real-time health and performance of your products
</li>
<li>
Participate in product discussions by proposing technical approaches and influencing roadmap decisions through data and system insights
</li>
<li>
Collaborate with Product Managers and stakeholders to shape requirements, clarify tradeoffs, and translate business goals into technical designs
</li>
<li>
Drive data-informed decisions by analyzing metrics and experiment results to validate product hypotheses
</li>
</ul>
&nbsp;
<h3 data-path-to-node="6">Qualifications:</h3>
<ul data-path-to-node="7">
<li>
7+ years of experience working in a software engineering role
</li>
<li>
Experience designing highly-scalable and performant microservices and storage layers using languages and infrastructure such as Java, Play, Scala, MySQL, Cassandra, Solr, or Kafka
</li>
<li>
Experience working in fast-moving team environments with frequent deployments
</li>
<li>
Background in using data and metrics to inform technical and product decisions
</li>
<li>
Demonstrated history of building and launching products with understanding of API design, system architecture, and data architecture
</li>
</ul>
&nbsp;
<h3>Keep Learning</h3>
If this opportunity interests you, you might like these courses on Coursera:
<ul>
<li><a href="https://www.coursera.org/specializations/java-object-oriented">Object Oriented Java Programming: Data Structures and Beyond Specialization</a></li>
<li><a href="https://www.coursera.org/specializations/object-oriented-programming">Object Oriented Programming in Java Specialization</a></li>
<li><a href="https://www.coursera.org/specializations/programming-python-java">Introduction to Programming with Python and Java Specialization</a></li>
<li><a href="https://www.coursera.org/specializations/scala">Functional Programming in Scala Specialization</a></li>
</ul>
&nbsp;
Compensation / Location: &nbsp;
At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.
This role is only available for hire in Toronto, Canada
Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is CAD $164,000 - $205,000. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.<div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

Senior Software Developer, BE

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div>About the Role We at Coursera are seeking a highly skilled and motivated AI Specialist, with strong hands on expertise in AI and data, with the ability to work across data exploration, AI solution design, rapid prototyping, experimentation, and evaluation—turning ambiguous business problems and complex datasets into working AI approaches, prototypes, and measurable solutions. This is a hands-on applied AI role for someone who enjoys figuring out how the system should think, not just how the application should be built.
The ideal candidate is deeply technical, hands-on with modern LLM and GenAI systems, with experience building AI pipelines, and driven to push the boundary of what AI can do for education. You should be equally fluent in training a custom model, designing a RAG pipeline, retrieval design, agent workflows, evaluation frameworks. You will work closely with Product Managers, Data Analysts, and Software Engineers, and directly with the business teams who use what you build.&nbsp;
Key Responsibilities
<ul>
<li>Build and Design AI systems by selecting the right combination of data , including retrieval pipelines, agentic workflows with tool use, and structured extraction from unstructured sources</li>
<li>Architect and implement Retrieval Augmented Generation (RAG) pipelines with vector databases (Pinecone, Weaviate) for grounded, context-aware AI applications.</li>
<li>Build and maintain agentic AI workflows using frameworks such as Langgraph, Mastra, LlamaIndex, CrewAI, or AutoGen including multi-step tool use, planning, and autonomous execution loops.</li>
<li>Design and run evaluation for every AI system you ship, covering accuracy, hallucination and grounding checks, regression suites, and human review loops</li>
<li>Work with large-scale structured and unstructured datasets on cloud-native databases &amp; storage (S3, Postgres, GCS, BigQuery, Databricks) with strong SQL and data modelling skills.</li>
<li>Build rapid AI prototypes and experiment with different models, retrieval strategies, prompts, and approaches to find what works best.</li>
<li>Partner with product managers, data engineers and backend/frontend engineers to translate business problems into well-scoped AI solutions with measurable KPIs.</li>
<li>Document architectures, design decisions, runbooks, prompts, evaluation results and troubleshooting guides to enable knowledge continuity and team velocity.</li>
</ul>
Experience:
<ul>
<li>4+ years of experience in Data Science, Applied AI, or Machine Learning, with experience building data driven or AI powered solutions.</li>
<li>Experience taking an AI use case from data exploration and experimentation through a validated working prototype.</li>
<li>Hands-on experience with machine learning and/or modern Generative AI techniques such as LLMs, embeddings, RAG, semantic search, NLP, recommendation, or agentic systems.</li>
<li>At least 2 production deployments involving LLM-based systems (fine-tuning, RAG, agentic workflows, or prompt-engineered solutions).</li>
<li>Experience with AI experimentation and evaluation, including comparing approaches, defining quality metrics, analyzing errors, and iterating based on results.</li>
<li>Experience using Python and SQL to work with data, build analysis workflows, develop AI algorithms, experiment with models, and build AI/ML solutions.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with Generative AI platforms and ecosystems such as Vertex AI, Bedrock, Azure AI, OpenAI/Anthropic APIs, Hugging Face,LangGraph, LangChain or equivalent technologies.</li>
<li>Experience designing RAG, vector search, tool-calling, MCP, agent orchestration, or multi-step AI workflows and LLM gateways.</li>
<li>Experience with AI evaluation techniques such as golden datasets, LLM-as-judge, regression evaluation, human evaluation, ranking metrics, or automated quality frameworks.</li>
<li>Experience working with modern data platforms such as Databricks, BigQuery, Snowflake, Spark, or equivalent technologies.</li>
<li>Familiarity with AI observability, model monitoring, responsible AI, PII handling, prompt injection mitigation, and AI guardrails.</li>
</ul><div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

AI Specialist II

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div>Job Overview:
As an Account Lead, you will own the full customer lifecycle: acquiring net-new&nbsp; enterprise logos, expanding and renewing installed accounts, and serving as a strategic advisor to executive stakeholders. You will build and execute territory and account plans, run a transparent and repeatable sales process, collaborate closely with Customer Success, and act as the voice of the customer across Coursera. Your success will be measured by new ARR, renewals, expansion revenue, and forecast accuracy.&nbsp;
This role directly advances Coursera’s mission by helping enterprises build skills at scale while driving sustainable growth through both acquisition and expansion.
Responsibilities:
New Business Acquisition
<ul>
<li>Generate pipeline via social selling, networking, events, &amp; outbound prospecting.</li>
<li>Build and execute a strategic territory plan to move the pipeline through the funnel and close deals.</li>
<li>Drive multi-threaded engagement across target accounts; lead consultative discovery and solution mapping.</li>
<li>Consistently meet/exceed quarterly and annual new ARR quotas and maintain accurate, timely forecasts.</li>
<li>Leverage industry and L&amp;D/HR trends to articulate Coursera’s differentiated value</li>
</ul>
Account Growth and Renewals
<ul>
<li>Own renewals and expansion within assigned accounts; deliver NRR and GRR targets.</li>
<li>Build and execute an account penetration strategy, leveraging internal champions, referrals and prospecting efforts to extend relationships into new buying centers.</li>
<li>Partner with Customer Success to link learning to business outcomes; run executive QBRs and success plans.</li>
<li>Identify, prioritize, and close upsell and cross-sell opportunities across business units and regions.</li>
<li>Build and deepen relationships with C‑suite and functional buyers; negotiate multi-year, multi-solution agreements.</li>
</ul>
Cross-Functional, Strategic, and Operational
<ul>
<li>Act as the voice of the customer with product, content, engineering, business development, and legal to influence roadmap, packaging, and deal structures.</li>
<li>Maintain rigorous pipeline hygiene, weekly activity/health metrics, and stage-by-stage conversion discipline in CRM.</li>
<li>Collaborate internally to configure solution designs, craft proposals/quotes, and shepherd contracts through legal and finance processes.</li>
<li>Represent Coursera at customer meetings, events, and trade shows; travel up to 25%.</li>
</ul>
Basic Qualifications:
<ul>
<li>10+ years selling Enterprise SaaS into large/complex/global accounts, spanning both new logo acquisition and account management/renewals, with consistent overachievement of quarterly and annual targets.</li>
<li>Proven success exceeding $1M+ annual quota, accurate forecasting, and closing complex, multi-stakeholder deals.</li>
<li>Experience selling to C‑suite and functional leaders (e.g., CHRO, CLO, CIO, business unit heads).</li>
<li>Strong collaboration with Customer Success to articulate and deliver business outcomes from learning programs.</li>
<li>Excellent communication, executive presence, analytical and creative problem-solving, organization, and time management.</li>
<li>Entrepreneurial drive; thrives in fast-moving, quickly changing environments.</li>
<li>Ability to travel up to 25%.</li>
</ul>
Preferred Qualifications
<ul>
<li>Enterprise SaaS experience in EdTech, HR Tech, or selling to HR/L&amp;D and functional buyers.</li>
<li>Demonstrated record of expansion in install base through upsell and cross-sell.</li>
<li>History of securing multi-year enterprise agreements and managing global rollouts.</li>
<li>Thought leadership in workforce transformation, skills, and learning strategy.</li>
<li>Salesforce proficiency and strong operational rigor in pipeline, forecasting, and deal reviews.</li>
</ul>
&nbsp;
#LI-SG1
#LI-C<div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

Account Lead - C4B

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div>Coursera + Udemy lets you choose the best way to work, whether it’s from home, an office, or a collaboration space. We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to come together. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.
<h2>About this role:</h2>
Within Consumer Marketing's Lifecycle team, you'll lead promotional strategy and execution as Udemy's two brands converge onto a single skills platform. You'll own the promotional calendar end-to-end, building campaign specs and go-to-market briefs that align creative, channel, and lifecycle teams around a single execution plan. This is a hands-on role where you'll define and build each campaign, monitor live performance, drive mid-course adjustments, and partner closely with Pricing, Commercial Policy, and Data Science teams to ensure promotions adhere to policy while meeting revenue and user experience targets. You'll report directly to the Senior Director of Lifecycle Marketing.
<h2>About your skills:</h2>
Campaign Planning
Core skill: develop comprehensive strategy for promotional calendar from conception through completion with cross-functional alignment.
Cross-Channel Marketing
Essential for coordinating creative, channel, and regional stakeholders to deliver cohesive promotional message and experience.
Campaign Management
Core responsibility: plan and execute promotional campaigns aligned with commercial policy and performance targets.
<h2>What you'll be doing:</h2>
<ul>
<li>Build campaign specs and go-to-market briefs for each Udemy promotion, aligning creative, channel, and lifecycle teams around a single execution plan.</li>
<li>Partner with Pricing and Commercial Policy teams on discount guardrails, eligibility rules, and cadence caps, translating policy into a calendar Marketing can run confidently.</li>
<li>Lead monitoring and daily tracking of live promotions, and drive mid-course pivots when performance calls for it.</li>
<li>Lead campaign forecasting, experimentation plans, post-campaign reporting and analysis with Data Science, sizing incrementality and using it to inform the next cycle's targeting and offer mix.</li>
<li>Be accountable for overall campaign performance and ensure that overall user experience is consistent and in adherence with the campaign brief.</li>
<li>Own the project management of the campaign from conception through completion, ensuring that creative, channel activation, user experience, and performance are aligned with the promotional campaign strategy.</li>
</ul>
<h2>Qualifications:</h2>
<ul>
<li>8+ years of experience in promotions marketing, ideally at a subscription or marketplace consumer business.</li>
<li>Demonstrated history of owning a promotional or campaign calendar end-to-end, from planning through execution to post-mortem.</li>
<li>Experience partnering with Pricing, Commercial Policy/Legal, and Data Science teams to translate financial guardrails into a runnable marketing calendar and data into actionable insights.</li>
<li>Experience with project management, including the ability to coordinate creative, channel, and regional stakeholders against firm dates.</li>
<li>Background in reading and analyzing promotional performance data, with the ability to translate findings into changes for the next cycle.</li>
<li>Experience running promotions across more than one brand or platform simultaneously.</li>
</ul>
&nbsp;
At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, and experience. In addition to a base salary, this role is also eligible for equity.
Hiring Compensation Range: $129,000 - 173,500
Colorado Hiring Compensation Range: $139,000 - 173,500
<h2>&nbsp;</h2>
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&nbsp;
#LI-KM3
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&nbsp;
Posting Date: September 24, 2026 Application Window:&nbsp; We anticipate the application window will be open until October 8th, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.<div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

Promotions Marketing Manager

<div class="content-intro">About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our&nbsp;<a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.</div>Where we Work
Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye.&nbsp;
About this role
This is a senior in-house legal role for a commercially driven lawyer ready to take commercial legal programs work with partners and negotiate technology deals. The role reports directly to the Head of Commercial Legal, Strategic Growth. &nbsp; We operate a hybrid go-to-market model that combines demand-led direct sales, solution-led growth, and indirect distribution through a tiered partner and channel ecosystem. We reach organizations globally through technology alliances, GSI relationships, channel partners, and reseller arrangements — powering learning and capability-building at scale. Legal sits at the center of all three motions. &nbsp; You will be a dedicated legal partner for B2B Enterprise, Technology Alliances, and Channel and Distribution Partnerships, supporting the development and negotiation of the indirect partner ecosystem that underpins our scalable distribution. This is a role for someone who combines deep transactional expertise with strong business instincts, operates with a high degree of independence, and is ready to grow into broader leadership responsibility within a scaling legal function.
About your skills
<ul>
<li>
Exceptional business judgement and a proven ability to balance legal risk with commercial objectives in fast-moving deal environments.
</li>
<li>
Executive-level communication skills: able to distill complex issues into clear, actionable guidance and influence stakeholders from SMB to large enterprise and C-suite.
</li>
<li>
A track record of using approved AI tools to increase legal productivity, and staying current on AI governance obligations.
</li>
</ul>
What you’ll be doing &nbsp;
B2B Enterprise, Ecosystems and Technology Transactions
<ul>
<li>
Take primary ownership of drafting, reviewing, and negotiating complex commercial agreements across global system integrator arrangements, channel partner and reseller agreements, technology alliance and co-sell agreements, enterprise SaaS and platform licensing, API and technical integration agreements, and distribution and go-to-market partnerships.
</li>
<li>
Advise senior business stakeholders, including GTM leadership, and Product teams, on deal structuring, risk allocation, commercial terms, and multi-jurisdictional GTM considerations, serving as the day-to-day legal lead who positions Legal as a genuine business enabler.
</li>
<li>
Partner with the Product Legal team to develop and refine legal frameworks that support a self-serve and low-touch commercial motion, including API access agreements, developer terms, usage-based licensing structures, and SMB onboarding frameworks, contributing to a standardized, scalable approach that enables businesses to engage and onboard with speed and minimal friction.
</li>
<li>
Provide clear, solution-focused guidance on AI-related commercial arrangements, data-sharing agreements, and emerging technology implementations as they enter the enterprise deal mix.
</li>
<li>
Own and continuously develop the suite of enterprise and channel contracting templates, playbooks, negotiation guidelines, and approval frameworks used across the partnerships function.
</li>
<li>
Design scalable legal infrastructure that empowers fast-moving deal teams to execute efficiently while maintaining sound risk controls across both direct and indirect channels.
</li>
<li>&nbsp;</li>
</ul>
GTM Product Commercialisation and Third-Party Integration
<ul>
<li>
Act as a primary legal partner for the commercialisation of GTM products, advising on go-to-market structures, route-to-market models, pricing and packaging frameworks, and the legal terms that govern how products are brought to market directly and through third parties.
</li>
<li>
Draft and negotiate agreements that govern the embedding, bundling, or distribution of our products within third-party platforms, marketplaces, and ecosystems, including white-label arrangements, OEM agreements, co-branded offerings, and platform integration terms.
</li>
<li>
Advise on licensing boundaries and revenue-sharing constructs as the product suite evolves and is commercialised through an expanding range of direct and indirect channels.
</li>
<li>
Work closely with Product, Product Legal, Marketing, and Sales to ensure commercial and legal structures keep pace with product development and new route-to-market initiatives, flagging and resolving legal considerations early in the product lifecycle.
</li>
</ul>
What you’ll have&nbsp;
<ul>
<li>
Genuinely commercial in your approach: able to identify and manage risk pragmatically, find workable solutions under pressure, and avoid being a blocker to growth.
</li>
<li>
An effective communicator and influencer, comfortable advising and challenging senior stakeholders across Sales, Product, and Executive leadership.
</li>
<li>
Qualified lawyer with 10+ years of post-qualification experience, including meaningful in-house tenure at a technology, SaaS, or enterprise software company.
</li>
<li>
A proven track record negotiating complex B2B technology agreements including GSI, channel, reseller, alliance, and enterprise platform deals, ideally within or alongside global organisations.
</li>
<li>
Demonstrable experience advising on product commercialisation, route-to-market strategy, or third-party distribution and embedding arrangements.
</li>
<li>
Comfortable operating across both high-touch enterprise deals and high-volume standardised indirect channel frameworks, understanding that each requires a different legal posture.
</li>
<li>
Highly organised and self-directed, with a demonstrated ability to manage a high-volume deal workload across competing priorities and deadlines with minimal supervision.
</li>
<li>
A collaborative team player who understands their place in a broader legal function and actively supports those around them, including upward to leadership
</li>
</ul>
&nbsp;
Posting Date: 15 September 2026 Application Window: 2 weeks We anticipate the application window will be open until 30 September 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.
#LI-ST5
&nbsp;<div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf" target="_blank">Coursera + Udemy Global Applicant Privacy Notice</a>.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our&nbsp;<a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.&nbsp;</div>

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