Senior Product Manager; Recommendations

Requirements

• 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
• 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
• 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
• Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
• 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
• Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
• 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
• BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus

• We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations
• In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem
• This is a high-ownership, high-visibility role
• You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business
• Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
• Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
• Drive material outcomes from strategic themes:
  Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
• Articulate customer and business problems clearly:
  Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
• Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
• Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
• Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
• Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
• Maintain 100% lockstep with partners:
  Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
• Communicate with clarity and conciseness:
  Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
• Proactively keep stakeholders informed:
  Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths