Senior Product Manager, Recommendations

Overview Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and aims to power every television worldwide. The company pioneers streaming to TV, connects consumers to content, helps publishers monetize audiences, and offers advertisers unique engagement capabilities. About the Team Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long‑term platform health. About the Role Senior Product Manager responsible for owning and driving critical product areas within Recommendations, 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 models within the ML/AI recommendations ecosystem. This high‑ownership, high‑visibility role operates across multiple surfaces and partners closely with engineering, UX, data science, content, business, and cross‑functional PMs to shape how Roku’s recommendations platform serves users and the business. What You’ll Be Doing Define and own the product strategy and roadmap for your area within Platform Recommendations, 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 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, preventing KPI drift through proactive alignment with stakeholders Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, propose concrete options when faced with trade‑offs Maintain lockstep with partners: work closely with ML Research & Engineering, Merchandising, and Analytics to align on strategy, outcomes, and requirements/timelines Communicate with clarity and conciseness: high signal‑to‑noise in written documents, messaging, presentations, and verbal discussions Keep stakeholders informed: proactively inform of progress, risks, and blockers with specific impacts, options, and recommended paths We’re Excited If You Have 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI‑driven product areas Strong analytical rigor: experience with experiment design, A/B testing, statistical significance, and metric frameworks; ability to define, defend, and prevent KPI drift Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end‑to‑end, escalating early, and avoiding work stalls Technical depth: work closely with ML engineers and data scientists on ranking, optimization, and signal‑based systems; ability to engage in technical discussions about model performance, feature engineering, and system architecture Excellent cross‑functional leadership: influence and drive alignment across engineering, data science, design, business, and content teams without direct authority Outcome‑oriented experimentation mindset: experience designing 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 Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work, except for roles required to be in the office five days a week or employees in offices with a five‑day in‑office policy. Benefits Roku offers a comprehensive benefits package, including global access to mental health and financial wellness support, statutory and voluntary benefits such as medical, dental, vision, life, accident, disability, commuter, and retirement options (401(k)/pension). Employees may take time off in accordance with local leave policies and other personal needs. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct inquiries to View email address on click.appcast.io. #J-18808-Ljbffr Roku