Principal Product Manager
1 week ago
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-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:
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Define multi-year product and platform strategy that shapes Coursera's next wave of growth, integrating consumer, enterprise, and content ecosystems.
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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.
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Set Coursera-wide AI product standards, including evaluation and monitoring frameworks, responsible AI and safety policies, and data governance practices.
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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.
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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.
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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.
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Mentor and elevate senior PM talent, establishing product standards, documentation quality, and decision-making frameworks that scale across the organization.
Qualifications:
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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.
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Demonstrated success defining and scaling platform or ecosystem strategies that span multiple surfaces or user types and are used globally across diverse markets.
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Deep expertise in AI-enabled or data-driven product systems, including responsible AI, model evaluation, and data governance with a history of shipping.
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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.
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Experience synthesizing complex technical and strategic topics for diverse audiences.
Nice to haves:
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Experience building or scaling AI-first platforms and customer experiences, particularly in learning, productivity, content or knowledge domains.
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Leadership of a start-up or internal 0-1 innovation product development effort through ambiguity and rapid innovation.
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Partnerships with peers, industry or research organizations advancing applied AI making you an attractor of future product talent.
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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.
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A product leader who inspires colleagues to think bigger, look beyond safe bets, and tackle challenges with conviction.
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Deep curiosity about customers and a history of using data and feedback to understand their needs and improve their experiences.
Compensation:
Coursera offers competitive pay and equitable compensation practices. Our job titles may span more than one career level. The targeted hiring base salary range for this role is between $196,000 - $245,000 CAD for all Canada candidates. The actual base pay is dependent upon many factors, including but not limited to prior work experiences, training/education, transferable skills, business needs, and geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for variable pay, equity, and benefits.
Keep Learning
If this opportunity interests you, you might like these courses on Coursera:
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