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As a Principal Product Manager, you will lead cross-organization strategy and execution for one or more of Coursera’s most critical product systems or platforms. You’ll shape multi-year product investments, anticipate technology and market shifts, and ensure Coursera’s platform remains at the forefront of AI-driven learning innovation. You’ll serve as a thought partner to executives, a mentor to senior PMs, and a multiplier for organizational decision-making and excellence.
Job Responsibility:
Define multi-year product and platform strategy that shapes Coursera’s next wave of growth, integrating consumer, enterprise, and content ecosystems
Develop and own a portfolio investment thesis, creating durable planning and prioritization mechanisms (e.g., annual planning, QBRs) that guide how we allocate resources and scale impact
Set Coursera-wide AI product standards, including evaluation and monitoring frameworks, responsible AI and safety policies, and data governance practices
Build and align large, cross-org programs with significant technical or operational complexity
partner with engineering leadership on architecture decisions that improve reliability, scalability, and developer velocity
Shape monetization, learning ecosystem, and customer life-cycle strategies, driving category-defining launches and strategic partnerships that strengthen Coursera’s leadership position in learning technology
Serve as a thought partner to executives, influencing VP and business unit-level priorities, shaping company-wide product narratives, and representing Coursera externally in partner and industry forums
Mentor and elevate senior PM talent, establishing product standards, documentation quality, and decision-making frameworks that scale across the organization
Requirements:
10+ years of product management experience, including ownership of platform or multi-business-unit product portfolios with progressively greater impact on business and customer outcomes
Demonstrated success defining and scaling platform or ecosystem strategies that span multiple surfaces or user types and are used globally across diverse markets
Deep expertise in AI-enabled or data-driven product systems, including responsible AI, model evaluation, and data governance with a history of shipping
Proven ability to lead technically complex programs in partnership with engineering, data science, design and research leadership and bring them to market at high velocity
Experience synthesizing complex technical and strategic topics for diverse audiences
Nice to have:
Experience building or scaling AI-first platforms and customer experiences, particularly in learning, productivity, content or knowledge domains
Leadership of a start-up or internal 0-1 innovation product development effort through ambiguity and rapid innovation
Partnerships with peers, industry or research organizations advancing applied AI making you an attractor of future product talent
Strong executive presence with a proven ability to lead by influence at VP and C-Suite levels and engage with leadership for external customers and partners
A product leader who inspires colleagues to think bigger, look beyond safe bets, and tackle challenges with conviction
Deep curiosity about customers and a history of using data and feedback to understand their needs and improve their experiences