Senior Product Manager, Brand Outcomes, Video and Native Advertising

Roku•New York, NY

13d•$119,100 - $265,400•Hybrid

About The Position

Roku is hiring a Senior Product Manager to own products that help advertisers optimize brand campaigns across Roku’s in-stream video and native advertising. The role focuses on making brand campaigns more effective while they are running, and giving advertisers credible evidence of outcomes such as unique reach, awareness, recall, consideration, and brand lift. The product portfolio includes cross-surface campaign planning and reporting, optimization models, brand-lift polls and holdouts, and integration with third-party measurement tools. The product manager will define how campaigns plan, pace, cap frequency, and share creative across video and native, including deduplicated reach. In partnership with data science and engineering, the role will develop and incorporate models for incremental reach, predicted lift, relevance, and frequency into campaign delivery, pacing, creative selection, and bidding. The role will also design experimental approaches and sample sizes for holdouts and polls, and test whether native engagement signals can provide an earlier indication of lift. The position works with third-party measurement partners, panel-based currency, and marketing mix models so advertisers can compare Roku’s results with their own measurement tools. It also collaborates with the performance video product team on connecting brand exposure to later conversions and helping advertisers allocate budgets based on demonstrated results. The role partners across engineering, data science, sales, research, and operations, balancing advertiser outcomes with inventory, pricing, buying methods, and the viewer experience.

Requirements

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.
Familiarity with third-party measurement partners and how agencies evaluate brand campaigns.
Record of shipping products in ambiguous areas and demonstrating results with numbers.

Nice To Haves

Connected TV or premium video experience is preferred.

Responsibilities

Own the roadmap for products that let advertisers buy impressions across in-stream video and native and optimize toward unique reach, awareness, recall, consideration, and brand lift.
Define metrics that connect 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 reporting across video and native.
Work with data science and engineering to define models for incremental reach, predicted lift, relevance, and frequency, and incorporate 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 brand-lift polls and holdouts 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 assess results using their own tools.
Work with the performance video product team to show how brand exposure affects later conversions and enable budget movement between brand and performance based on results.
Collaborate with engineering, data science, sales, research, and operations, making products understandable to sales teams and advertisers.
Assess effects on video and native inventory, pricing, direct and programmatic buying, and the viewer experience.