Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Comprehensive health and wellness benefits
- Bonus and RSU equity programs
- Global perks designed to help you grow and thrive wherever you are
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