Principal Product Manager

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 191 million registered learners as of September 30, 2025. Coursera partners with over 375 leading universities and industry partners to offer a broad catalogue of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp.

We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you’re ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.

Job Overview

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.

Responsibilities

• 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.

Qualifications

• 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 haves:

• Experi