Senior Product Manager, Performance Video Advertising

Roku•San Jose, CA

5h•Hybrid

About The Position

The Ads Product team is responsible for monetizing Roku's platform through innovative advertising solutions across the Roku TV experience, including its premiere streaming service, The Roku Channel, on both Roku devices and off-platform environments. Collectively, these products reach millions of users daily, creating valuable advertising inventory and engagement opportunities throughout the entire Roku ecosystem. We're looking for a Senior Product Manager to lead the development of performance-driven video ad solutions across Roku's large-scale in-stream, pre-roll, and post-roll inventory. You will own products that help advertisers achieve measurable business outcomes by combining Roku's reach and first-party data with predictive modeling, attribution, and incrementality measurement. This role sits at the intersection of ad delivery, measurement, and optimization. You will define how performance is measured and improved on connected TV, building systems that translate exposure to outcomes, inform bidding and optimization, and prove incremental impact across channels.

Requirements

5+ years of product management experience, including ownership of complex or platform-scale products
Proven experience defining product strategy and driving execution in ambiguous environments
Strong background in digital advertising, media, marketplaces, or data-driven platforms
Excellent analytical and decision-making skills with a track record of delivering measurable impact
Effective leader through influence, able to align diverse teams and stakeholders
Passion for building scalable advertising products that deliver value to advertisers and viewers

Nice To Haves

Experience with connected TV, programmatic advertising, or measurement platforms
Experience leading large initiatives without direct authority

Responsibilities

Performance video solutions: Own product capabilities that enable advertisers to drive and optimize toward performance outcomes using Roku's in-stream, pre-roll, and post-roll video inventory
Prediction and optimization models: Partner with data science and engineering to define and productize predictive models for outcomes such as conversion likelihood, response probability, and marginal lift, and integrate those models into delivery, pacing, and optimization workflows
Attribution frameworks: Define and evolve attribution approaches for CTV performance advertising, including post-view attribution, cross-device and cross-channel considerations, and measurement windows appropriate for video-led demand generation
Incrementality and lift measurement: Build products that enable advertisers to measure true incremental impact, including experimental design, holdouts, lift studies, and causal measurement approaches that go beyond last-touch metrics
Outcome-driven product metrics: Establish success metrics that tie ad exposure and optimization to advertiser outcomes, such as incremental conversions, return on ad spend, and downstream business impact
Scalable, advertiser-ready products: Translate complex modeling and measurement systems into intuitive, scalable products that advertisers and sales teams can understand, trust, and adopt
Cross-functional leadership: Lead cross-functional execution across product, engineering, data science, sales, and operations, aligning stakeholders on strategy, tradeoffs, and roadmap priorities
Ecosystem-level thinking: Anticipate how performance solutions interact with bidding, pricing, inventory allocation, and viewer experience, and make informed tradeoffs that support long-term platform health