Principal Product Manager

Role Description

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.

• Customer-Centric Curiosity: Exhibit deep curiosity to understand customers and all elements influencing their experience, offering comprehensive, integrated solutions that address real needs.
• Thriving in Ambiguity: Operate effectively in uncertain, fast-changing environments, as often found in startup-like situations.
• Balanced Skills vs. Domain Experience: While domain expertise is beneficial, strong intellectual capacity, curiosity, proactiveness, and solid foundational product skills enable quick adaptation even without prior domain exposure.
• Strategic & Tactical Agility: Seamlessly switch between defining long-term vision and deep-diving into execution details when required.
• IC Excellence: As an individual contributor, comfortably navigate between strategy and execution to deliver impact.
• Integrated Experience Design: A track record of designing end-to-end integrated experiences is a strong plus.
• Tool Familiarity: Familiarity with tools in the PM space, such as Jira, Figma or generative AI tools, though tool-specific experience is less crucial.
• Speed of Innovation: Demonstrates the ability to rapidly prototype, test, and iterate solutions to keep pace with evolving customer needs and emerging technologies.

Responsibilities

• 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.

Qualifications

• 8+ years of product management experience, with a meaningful portion in assessment, measurement, or skills validation products.
• 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 haves

• Background in or exposure to psychometrics, learning science, industrial-organizational psychology, or talent assessment.
• 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.
• Familiarity with NCME or the broader measurement and assessment professional community.
• Experience bridging academic rigor with commercial shipping deadlines.

Compensation

This role is available in the following US Pay Zones:

• US Zone 1: $218,800 – $273,500 USD
• US Zone 2: $209,600 – $262,000 USD
• US Zone 3: $194,400 – $243,000 USD
• US Zone 4: $180,800 – $226,000 USD

At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.

Keep Learning

If this opportunity interests you, you might like these courses on Coursera:

• Learning How To Learn
• Gen AI for Product Managers