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. 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 joining our team, you’ll have the prospect to reshape how the world learns and applies skills—and help millions of people participate in the new economy. 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 significant 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.

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.

Lead discovery to understand customer objectives, workflows, user needs, data and technical constraints, and desired business outcomes.

Identify and prioritize high-value use cases, define the minimum viable deployment, and establish clear success and acceptance criteria.

Translate ambiguous customer problems into clear product requirements, prioritization decisions, and a sequenced product and deployment roadmap.

Lead End-to-End Customer Deployment

Translate customer objectives into a clear product and deployment roadmap covering milestones, workstreams, dependencies, risks,



decision points, and launch criteria.

Create high-quality product artifacts, including problem statements, product requirements, workflow definitions, user stories, acceptance criteria, prioritization frameworks, and executive decision documents.

Own delivery governance across Coursera and customer teams, maintaining clarity on scope, timelines, responsibilities, risks, and unresolved decisions.

Partner on Technical Solution Design and Deployment

Participate credibly in discussions involving system architecture, APIs, data flows, integrations, identity and access management, infrastructure, security, privacy, scalability, reliability, and deployment models.

Partner with engineering teams on AI-specific considerations such as data quality, evaluation approaches, human oversight, model limitations, responsible AI, and production-readiness criteria.

Evaluate effort, implementation complexity, cost-to-serve, and expected customer value when making scope and prioritization decisions.

Partner with Sales, Finance, Legal, and Customer Success on scope boundaries, business cases, commercial assumptions, and material changes to customer engagements.

Partner with Product and Engineering teams to bring field insights into the broader roadmap and build repeatable discovery, scoping, deployment, and measurement playbooks.

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.

Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoption.

Experience working with B2B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflows.

Strong customer-facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors.

Strong program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive-level communication.





Strong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery.

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.

Hands-on prototyping experience with AI-assisted or low-code development tools such as Claude, Cursor, Lovable, Retool, or similar platforms.

Financial and commercial acumen, including experience evaluating business cases, effort versus value, delivery economics, ROI, and the implications of scope and prioritization decisions.

Willingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagements.

Experience deploying AI, machine-learning, LLM, RAG, or agentic solutions into production enterprise environments.

Familiarity with AI evaluation, guardrails, human-in-the-loop workflows, observability, model performance, and responsible-AI practices.

Experience working in education technology, workforce transformation, talent intelligence, skills, learning platforms, or other enterprise environments involving complex stakeholder and data ecosystems.

Experience delivering products or programs across multiple regions, industries, or regulatory environments.

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.

Work directly with enterprise leaders, partner with Forward Deployed Engineers, see solutions move into production, and use field learning to shape reusable product capabilities.

Apply AI and product thinking to complex workforce, learning, and organizational challenges faced by institutions around the world.

Help organizations build the capabilities they need while advancing Coursera’s mission to transform lives through learning.

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.com email addresses and never through personal accounts. 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 View email address on creativetechgigs.com.

📌 Senior Product Manager AI & ML (Mumbai)
🏢 Coursera
📍 Mumbai