Staff Product Manager (Recommendations)
Core
Shape product strategy for personalized, ML-powered content discovery and user engagement across a 500M+ user streaming platform.
Role type
Staff Product Manager (Recommendations)
Builds
Personalized and popularity-based content recommendation surfaces for a global streaming app.
Domain
Streaming media / Personalization / Machine Learning
Deliverable
production ML models
Required skills
ML product strategy, A/B experiment design, metric interpretation, roadmap prioritization, stakeholder influence, hypothesis-driven problem solving, technical translation of business goals to ML problems
Preferred skills
ML fundamentals (model training/evaluation/deployment), consumer-scale product ownership, feature engineering, cross-functional leadership
Technologies
Recommendation systems, A/B testing frameworks, streaming platforms
Responsibilities
Conduct research on recommendation quality and user engagement patterns; Translate abstract problem statements into clear product requirements; Influence roadmaps for the broader personalization ecosystem; Collaborate with ML Engineering and Data Science teams; Respond to external signals like content launches and live events; Own key KPIs aligned with product objectives; Mentor junior PMs
Seniority
Staff, hands-on IC with strategic scope
