Principal Product Manager

Coursera is a leading online learning platform that partners with top universities and organizations to provide world-class education. The Principal Product Manager will shape Coursera's product vision, enhance learner and partner experiences, and drive significant business impact through strategic and hands-on execution.

Responsibilities:

• As a Principal Product Manager, you will 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
• 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