Senior Product Manager, Applied AI

The role

The Senior Product Manager, Applied AI will own customer deployments from discovery and scoping through delivery and adoption. You will work with enterprise customers to translate business objectives into technical requirements and build deployment roadmaps.

What you will do

• Build trusted relationships with customer executives, business leaders, technical stakeholders, and end users.
• Lead discovery to understand customer objectives, workflows, user needs, data and technical constraints.
• Identify and prioritize high-value use cases and define minimum viable deployment.
• Translate ambiguous customer problems into clear product requirements and deployment roadmaps.
• Create product artifacts including problem statements, user stories, and acceptance criteria.
• Own delivery governance across Coursera and customer teams.
• Work with Forward Deployed Engineers and internal Engineering teams to translate workflows into technical solutions.
• Evaluate technical and product trade-offs regarding architecture, APIs, and security.
• Partner with engineering teams on AI-specific considerations like data quality and responsible AI.
• Define value hypotheses and establish business, adoption, and product metrics.

Required qualifications

• 8+ years of relevant experience across B2B product management, enterprise software, technical consulting, solutions delivery, or related roles.
• Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery 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.
• Excellent product judgment to convert ambiguous problems into clear requirements and prioritized roadmaps.
• Strong program and delivery management skills.
• Strong technical fluency in enterprise software architecture, data, integrations, cloud, security, and privacy.
• Strong understanding of AI- and LLM-enabled products and their limitations.
• 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 and ROI.
• Ability to operate effectively in ambiguity and influence cross-functional teams without formal authority.
• Willingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagements.

Nice to have

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

Benefits

• Help build a new motion from the ground up.
• Own the complete customer-to-product loop.
• Move beyond experimentation.
• Work on consequential problems.
• Operate with meaningful autonomy.
• Contribute to Coursera’s mission.

About the company

Coursera and Udemy are now one company, bringing together two mission-driven brands to create a platform for turning learning into progress. They help more than 300 million learners and 12,000+ enterprise customers build skills.