Note: The job is a remote job and is open to candidates in USA. Pinterest is a discovery platform powered by applied sciences, including representation learning, signals, and recommender systems. The Staff Product Manager will shape the product vision, roadmap, and strategy for Pinterest’s applied AI/ML platform while partnering with science, engineering, research, and product teams to drive adoption, scalability, and sustainable platform health.
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
Skills
- 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
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country
- US based applicants only
Benefits
- The position is also eligible for equity.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Company Overview
Company H1B Sponsorship