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Senior Product Manager, Recommendations

Job in New York, New York County, New York, 10261, USA
Listing for: TryApplyNow
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Intelligence
  • Business
    AI Business & Operations, Business Intelligence
Salary/Wage Range or Industry Benchmark: 195000 - 303000 USD Yearly USD 195000.00 303000.00 YEAR
Job Description & How to Apply Below
Location: New York

Teamwork makes the stream work.
Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we have set our sights on powering every television in the world.

From your first day at Roku, you'll make a valuable and valued contribution. We offer the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

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

We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will define product strategy, lead experiments, and deliver measurable outcomes that drive viewer engagement KPIs and business model outcomes across ad‑supported, subscription, and TVOD/PVOD through the ML/AI recommendation 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 recommendation platform serves users and the business.

For New York Only – The estimated annual salary is between $195,000 and $303,000. Compensation packages are based on factors unique to each candidate, including skill set, certifications, and location. The role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What You’ll Be Doing
  • 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: maintain full alignment with ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes, and requirements/timelines.
  • Communicate with clarity and conciseness: deliver high signal‑to‑noise in written documents, messaging, presentations, and verbal discussions.
  • Proactively keep stakeholders informed: keep stakeholders informed 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: 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. Escalates early, proposes alternatives, and doesn’t let work stall.
  • Technical depth: experience…
Position Requirements
10+ Years work experience
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