Product Manager

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

• Help shape the product vision and roadmap across key areas of Pinterest’s Applied Sciences portfolio, including representation learning, signals, and recommender systems.
• Partner with teams across Pinterest to ensure new capabilities are broadly adopted and not built or deployed in silos.
• Work closely with science, engineering, research, and surface teams to translate technical roadmaps into product bets with clear success criteria.
• Define and communicate how platform value is measured, including adoption, quality, time to production, and infrastructure cost.
• Partner across teams to evaluate modeling tradeoffs, support experimentation, and help ensure innovation scales sustainably across Pinterest’s major surfaces.

• 7+ years of Product Management experience or equivalent.
• Demonstrated experience owning a shared ML or AI platform — such as feature stores, embedding platforms, representation learning infrastructure, recommender systems, or equivalent — where the customers are internal engineering and product teams with competing priorities.
• Demonstrated success shipping AI/ML products into production on high-traffic consumer surfaces, with direct involvement in retrieval, ranking, recommendation systems, or related areas.
• Strong platform product instincts and ecosystem thinking: you understand producers, consumers, and peer programs as stakeholders, and can make prioritization calls that protect the foundation while serving product surfaces.
• Technical credibility with ML/AI teams, with the depth to engage substantively on topics like representation learning, experiment design, model architecture tradeoffs, production readiness, and infrastructure tradeoffs.
• Strong cross-functional range and credibility, with a track record of building trust across technically demanding partners and driving alignment in ambiguous spaces.
• Governance and lifecycle discipline, including experience managing deprecation, technical debt, signal or infrastructure cost tradeoffs, and scaling new capabilities over time.
• Strong strategic judgment and executive communication, with the ability to synthesize open questions into clear, defensible positions.
• A bias toward clarity and urgency, with accountability for turning science and technical innovation into meaningful product change.
• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.