Staff Product Manager, Applied Science

Pinterest•San Francisco, CA

1d•$164,695 - $339,078•Remote

About The Position

Pinterest is a platform where millions find inspiration and plan for life's memories. We are on a mission to bring everyone the inspiration to create a life they love, and this starts with our people. At Pinterest, AI is a powerful partner augmenting creativity and amplifying impact. We are looking for candidates excited to be part of this, who can explain their approach and demonstrate how they think. The Applied Sciences team develops next-generation technologies for personalized discovery, focusing on areas like representation learning, signals, and recommender systems. These systems power personalized discovery across Pinterest, including embeddings, shared feature layers, unified models, ranking systems, and behavioral understanding. We are seeking Staff Product Managers to define the future of Pinterest's applied AI/ML platform, blending research ambition with product discipline to shape personalized experiences. Our work is grounded in using historical user data, developing versatile models, and maintaining cost-conscious infrastructure for sustainable scale. As a Staff Product Manager on Applied Sciences, you will collaborate with science, engineering, research, and product teams to define the roadmap, abstractions, and product strategy, strengthening the shared foundation and balancing innovation, adoption, scale, and platform health.

Requirements

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.

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.