Staff Product Manager, Model Lifecycle & Management
Skills
APIComputer ScienceAnalytical SkillsData ScienceInternet BackboneLaw EnforcementLeadership
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years product management experience
- Experience owning or managing ML platforms model lifecycle infrastructure or ML tooling
- Strong data fluency with precision recall FPR evaluation methodology and model performance measurement
- SQL proficiency to self-serve data investigation and analysis
- Demonstrated systems thinking in complex interconnected infrastructure
- Strong cross-functional leadership across ML engineering data science and product stakeholders
- Excellent written and verbal communication of complex ML and infrastructure concepts
- Bachelor’s degree in Computer Science or equivalent experience
Nice to have
- Data fluency
- Systems thinking
- Cross-functional leadership
- Strong communication
Day to day
- Own the product strategy for the ML platform that powers how Pinterest trains evaluates deploys and measures content safety models at scale
- Lead the development of ML Signal Management by making ML signals first-class entities with unified metadata identity and API access across systems
- Partner deeply with ML engineering data science content safety and enforcement teams to reduce iteration time and strengthen measurement infrastructure
- Drive cross-functional signal strategy as the platform expands from Trust & Safety into content quality ads safety and beyond