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Senior Product Manager (Recommendations)
Roku · Santa Monica, United States
About The Role
Join Roku as a Senior Product Manager for Recommendations. In this high-visibility role, you will define product strategy, lead experiments, and deliver measurable outcomes that drive viewer engagement and business model outcomes. You will work closely with engineering, UX, data science, content, business, and cross-functional PMs to shape Roku's recommendations platform. The ideal candidate will have 7+ years of product management experience, familiarity with recommendation systems, and a strong analytical mindset.
- Definir y poseer la estrategia y la hoja de ruta del producto para el área de recomendaciones, con un enfoque en maximizar el compromiso del usuario y el valor comercial.
- Identificar espacios de problemas únicos y desarrollar recomendaciones estratégicas respaldadas por datos y análisis, impulsando resultados materiales a partir de temas estratégicos.
- Diseñar y ejecutar experimentos de manera integral, asegurando que cada prueba esté vinculada a una decisión concreta o un cambio en la hoja de ruta.
- Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
- Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
- 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
- Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
- BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus
- Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
- Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
- Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
- Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
- Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
- Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
- Experience in streaming, media, entertainment, or large-scale content platforms
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