Principal Product Manager

Coursera•Mountain View, CA

4d•$180,800 - $273,500•Remote

About The Position

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. A capable PM with strong core skills will learn quickly. Speed of Innovation: Demonstrates the ability to rapidly prototype, test, and iterate solutions to keep pace with evolving customer needs and emerging technologies. Balances speed with rigor to deliver impactful outcomes quickly.

Requirements

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 (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

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.