Senior Product Manager, Recommendations Job at Roku (New York)

Job Description

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

Job Responsibility

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 through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
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 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, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths

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

Nice to have

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
MBA a plus

What we offer

health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off
global access to mental health and financial wellness support and resources
healthcare (medical, dental, and vision)
life, accident, disability, commuter, and retirement options (401(k)/pension)
support in taking time off, in accordance with local leave policies and other personal needs

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Senior Product Manager, Recommendations

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