Staff Product Manager, Applied Science
Core
Define product vision and roadmap for Pinterest's Applied Sciences portfolio, including representation learning, signals, and recommender systems, to enable personalized discovery across the platform.
Role type
Staff Product Manager (Applied AI/ML Platform)
Builds
Shared ML/AI infrastructure, feature layers, unified models, and ranking systems used by internal engineering and product teams.
Domain
Consumer internet, AI/ML, Recommender Systems
Deliverable
production ML models | infrastructure
Required skills
Platform product strategy, ecosystem thinking, technical credibility with ML/AI teams, cross-functional leadership, governance and lifecycle management, executive communication
Preferred skills
Experience with representation learning, experiment design, model architecture tradeoffs, infrastructure cost optimization
Technologies
Embeddings, shared feature layers, unified models, ranking systems
Responsibilities
Shape product vision and roadmap for applied AI/ML capabilities; partner with science and engineering teams to translate technical roadmaps into product bets; define metrics for platform value including adoption, quality, and infrastructure cost; evaluate modeling tradeoffs to ensure sustainable scaling; drive adoption of shared capabilities across the company
Seniority
Staff, hands-on IC with strategic scope
