Staff Product Manager, Model Lifecycle & Management
About the role
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.
Candidates will join an innovative team pushing engineering boundaries. Depending on the domains associated with this job, you will be expected to design clean APIs, write automated test cases, and participate in peer code reviews. We value developers who focus on performance optimization, fast load times, and simple, maintainable architectures.