Senior Product Manager, Brand Outcomes, Video and Native Advertising

Roku•San Jose, CA

12d•$167,300 - $307,600•Hybrid

About The Position

Roku is hiring a Senior Product Manager to own products that help advertisers plan, optimize, measure, and prove brand campaign outcomes across Roku's in-stream video and native advertising. The role focuses on building campaigns that optimize toward unique reach, awareness, recall, consideration, and brand lift, and that provide measurement advertisers can validate using their own tools. The position includes defining cross-surface campaign planning, pacing, frequency capping, deduplicated reach, shared creative, reporting, and outcome metrics such as cost per incremental reach and lift per dollar. The Product Manager will partner with data science and engineering to develop and integrate models for incremental reach, predicted lift, relevance, and frequency into delivery, pacing, creative selection, and bidding. The role also involves designing holdouts and brand lift polls, testing whether native engagement can serve as an earlier lift signal, and working with third-party measurement partners, panel-based currency, and marketing mix models. The Senior Product Manager will collaborate with the performance video product team to connect brand exposure with later conversions and help inform budget allocation between brand and performance campaigns. They will work across engineering, data science, sales, research, and operations, while considering effects on inventory, pricing, direct and programmatic buying, and the viewer experience. Roku describes its work environment as generally office-based Monday through Thursday, with Fridays generally flexible for remote work, subject to role or office requirements.

Requirements

At least 5 years of product management experience, including experience with complex or platform-scale products.
Experience with brand or upper-funnel measurement, such as brand lift, reach and frequency, incrementality testing, marketing mix modeling, or attention metrics; ability to read a lift study and question its sample size.
Experience building advertising products that combine targeting, measurement, and optimization.
Working understanding of how machine-learning models are trained and evaluated.
Experience with advertising products across more than one surface or format, such as video, native, display, or feeds.
Background in digital advertising, media, marketplaces, or data platforms.
Record of shipping products in ambiguous areas and demonstrating results with numbers.

Nice To Haves

Connected TV or premium video experience.
Familiarity with third-party measurement partners and how agencies evaluate brand campaigns.

Responsibilities

Own the roadmap for brand outcome products that allow advertisers to buy impressions across in-stream video and native and optimize toward unique reach, awareness, recall, consideration, and brand lift.
Define metrics connecting impressions to outcomes, including cost per incremental reach and lift per dollar.
Define cross-surface campaign planning, pacing, frequency capping, deduplicated reach, shared creative, and unified campaign reporting across video and native.
Partner with data science and engineering to define models for incremental reach, predicted lift, relevance, and frequency, and integrate them into delivery, pacing, creative selection, and bidding.
Test whether native engagement signals can provide an earlier read on lift and improve optimization models.
Build holdouts and brand lift polls into campaigns, including experimental design and sample sizing.
Own how Roku data works with third-party measurement partners, panel-based currency, and marketing mix models so advertisers can validate campaign results with their own tools.
Work with the performance video product team to show how brand exposure affects later conversions and help advertisers move budgets between brand and performance based on results.
Collaborate with engineering, data science, sales, research, and operations, and make products understandable to sales teams and advertisers.
Evaluate impacts on video and native inventory, pricing, direct and programmatic buying, and the viewer experience.