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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 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.

Responsibilities

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
Propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
Define test contracts and hold the line on experimental rigor
Ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
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

Skills

Recommendations
Personalization
Search/Discovery
ML/AI-driven product areas
Experiment design
A/B testing
Statistical significance
Metric frameworks
KPI definition
Technical depth
ML engineers
Data scientists
Ranking
Optimization
Signal-based systems
Cross-functional leadership
GenAI/LLM applications
Product discovery
Content understanding
Signal generation
Recommendation systems
Content ranking
Collaborative filtering
Personalization at scale

Location

New York

Work Type

Hybrid

Experience Level

Senior
7+ years of product management experience

Education Level

BS/MS in a quantitative field (engineering, CS, mathematics)
MBA

Salary/Compensations

$195,000 - $303,000 annually

Benefits

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
Statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)

About the Company

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.
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.
At Roku, we don’t just use AI, we work with it.
AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability.
We value curious, adaptable builders, who can show how they’ve used AI, agents, or automation to move faster, improve quality, and scale their impact.
Strong candidates know how to frame problems, guide AI-assisted work, check the output, and learn quickly.
Above all, they bring curiosity, adaptability, and sound judgment.
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families.
It's important to note that not every benefit is available in all locations or for every role.
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law.
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own.
We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check.
We appreciate a sense of humor.
We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams.
We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust.
In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of.
We think of ourselves primarily as problem-solvers, which itself is a two-part idea.
We come up with the solution, but the solution isn't real until it is built and delivered to the customer.
That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice.
If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Equal Opportunity

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 your inquiries to EmployeeRelations@Roku.com.