About the job
We’re looking for Staff Product Managers to help shape the next chapter of Pinterest’s applied AI/ML platform. In these roles, you’ll bring together research ambition and product discipline to help define the future of personalized experiences at one of the world’s leading discovery platforms.
Responsibilities
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.
Qualifications
Minimum
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
Preferred
No preferred qualifications listed.