Staff Product Manager, Model Lifecycle & Management

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