Team Overview:

Coursera’s Product Management team drives our mission of providing universal access to world-class learning. Principal Product Managers operate as system-level and portfolio leaders, defining the strategies, platforms, and frameworks that power Coursera’s next era of growth. They combine deep technical and market fluency with exceptional influence, shaping long-term product direction across business units and executive stakeholders.

Job Overview:

As a Principal Product Manager, you will lead cross-organisation 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, peer to Principal Designers and Engineers, and a multiplier for organisational decision-making and excellence.

• 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.

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 prioritisation 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 monetisation, 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 organisation.

Basic Qualifications

• 12+ 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 synthesising complex technical and strategic topics for diverse audiences.

Preferred Qualifications

• 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 organisations 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. 

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

• Learning How To Learn
• Gen AI for Product Managers