About The Position

Roku’s Ads Product team develops advertising solutions across the Roku TV experience, The Roku Channel, Roku devices, and off-platform environments. The Senior Product Manager will own products that help advertisers buy brand campaigns across in-stream video and native advertising and optimize them toward unique reach, awareness, recall, consideration, and brand lift. The role will build cross-surface campaign experiences, delivery models that optimize toward brand outcomes, and holdout and third-party measurement capabilities that demonstrate campaign impact. This includes turning polls and holdout results into signals that can improve delivery while campaigns are running; defining metrics such as cost per incremental reach and lift per dollar; and determining how frequency, creative selection, pacing, and bidding work across surfaces. The role also works with data science and engineering to test whether native engagement can provide an earlier signal of lift. The Senior Product Manager will collaborate with the performance video product team on the relationship between brand exposure and later conversions, as well as how campaign budgets can shift based on results. The position also partners with sales, research, and operations, considering impacts on inventory, pricing, direct and programmatic buying, and the viewer experience. Roku generally supports a hybrid work arrangement, with teams usually in the office Monday through Thursday and Fridays generally flexible for remote work, subject to role and 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 combining targeting, measurement, and optimization.
  • Working understanding of how machine-learning models are trained and evaluated.
  • Experience with advertising products on 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 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 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 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 brand lift and improve optimization models.
  • Build holdouts and brand-lift polls into campaigns by default, 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 results with their own tools.
  • Collaborate with the performance video product team so advertisers can understand how brand exposure affects later conversions and budgets can move between brand and performance based on results.
  • Work with engineering, data science, sales, research, and operations to develop products that sales teams and advertisers can explain.
  • Evaluate product effects on video and native inventory, pricing, direct and programmatic buying, and the viewer experience.

Benefits

  • Health insurance, including healthcare options that may include medical, dental, and vision coverage.
  • Equity awards.
  • Life insurance.
  • Disability benefits.
  • Parental leave.
  • Wellness benefits.
  • Paid time off, in accordance with local leave policies and personal needs.
  • Mental health and financial wellness support and resources.
  • Commuter benefits may be available.
  • Retirement options, including 401(k) or pension, may be available.
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