About the job
As a Senior Product Manager for Signal Lifecycle within Trust & Safety, you'll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. You'll lead the development of ML Signal Management — making ML signals first-class entities with unified metadata and identity across systems. Partnering deeply with ML engineering, data science, content safety, and enforcement systems, you'll drive a platform whose scope is expanding from T&S into content quality, ads safety, and beyond.
Responsibilities
Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement
Define and ship ML Signal Management — a unified backbone that elevates ML signals into first-class entities with comprehensive metadata, cross-system naming, and API access
Partner with ML Engineering to reduce model iteration time through automated retraining, evaluation, and deployment pipelines
Own measurement infrastructure — golden dataset strategy, prevalence measurement, model performance dashboards, and experimentation frameworks
Lead cross-functional signal strategy with Content Safety, Enforcement Systems, Data Science, and Operations
Qualifications
Minimum
5+ years product management experience
Experience owning or managing ML platforms, model lifecycle infrastructure, or ML tooling
Strong data fluency — comfortable with precision/recall/FPR, evaluation methodology, and model performance measurement
SQL proficiency — able to self-serve data investigation and analysis
Demonstrated systems thinking — experience with complex interconnected infrastructure serving multiple teams
Strong cross-functional leadership — proven ability to drive decisions across ML engineering, data science, and product stakeholders
Excellent written and verbal communication of complex ML and infrastructure concepts
Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience
Preferred
No preferred qualifications listed.