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As a Principal Product Manager, you will play a pivotal role in shaping Coursera's product vision, delivering exceptional learner and partner experiences, and driving measurable business impact. You will operate at the intersection of strategic thinking and hands-on execution, navigating ambiguity while influencing cross-functional teams.
Job Responsibility
Define and drive product strategy and own the roadmap for a high priority area of the Coursera platform, such as mobile, AI-powered assessment or agentic enterprise integration
Translate customer insights and market trends into integrated solutions that can scale to serve millions of learners and customers around the world
Lead execution from ideation and analysis through development and launch, delivering measurable outcomes
Partner with Engineering, Design, and Data teams to deliver AI-powered product features and experiences
Leverage data and customer feedback to inform decisions and continuously improve
Mentor peers and contribute to building a high-performing product organisation
Requirements
8+ years of product management experience, with a meaningful portion in assessment, measurement, or skills validation products
You have experience building, using, or experimenting or shipping AI-powered or LLM-integrated products, including familiarity with LLM-as-judge evaluation methods and their failure modes
Deep understanding of how skill and competency measurement works — not just completion tracking, but defensible claims of capability
Demonstrated ability to define rubrics, evaluation frameworks, or structured measurement systems at scale
Strong external communication skills
able to represent product methodology credibly to enterprise security teams, skeptical customers, and regulatory reviewers
Proven track record moving quickly in an early-stage or startup-pace environment while maintaining rigor
Nice to have
Background in or exposure to psychometrics, learning science, industrial-organizational psychology, or talent assessment (e.g., from companies like HireVue, Pymetrics, Codility, ETS, or Duolingo)
Familiarity with the EU AI Act, particularly high-risk classification implications for AI systems used in employment or skills contexts
Experience working with SME panels, grader programs, or human-in-the-loop calibration workflows
Prior work in skills-based hiring platforms or enterprise skills frameworks (LinkedIn, Workday Skills Cloud, etc.)
Familiarity with NCME or the broader measurement and assessment professional community
Experience bridging academic rigor with commercial shipping deadlines