Staff Product Manager, Model Lifecycle & Management

Own product strategy for Pinterest's ML platform powering content safety model training, evaluation, deployment, and measurement. Lead ML Signal Management and lifecycle infrastructure in partnership with ML engineering and data science teams.

About the job

What you'll do

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

What we're looking for

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

Skills

Product Management, Ml Platform Management, Model Lifecycle Infrastructure, Ml Tooling, Data Analysis, SQL, Model Evaluation, Precision/Recall/Fpr, Systems Thinking, Cross-Functional Leadership