Senior Product Manager; Ads Targeting & Audience Activation

Requirements

• 6+ years of Product Management experience, ideally in ad tech, audience products, ad data platforms — with prior experience at a major social platform or CTV publisher/streamer, a strong plus
• A track record of shipping audience or targeting products at scale, with measurable impact on advertiser adoption, signal coverage, or campaign performance
• Strong technical fluency with audience taxonomies, segment lifecycle, lookalike and propensity modeling concepts, identity and addressability signals, and the data contracts that connect targeting to delivery and measurement
• Experience working across the advertising ecosystem — DSPs, SSPs, ad servers, DMPs/CDPs, measurement, and clean room partners
• Highly analytical — able to quantify the value of a signal, segment, or integration, spot gaps in assumptions, and make principled tradeoffs across coverage, latency, accuracy, privacy, and cost
• Proven ability to drive cross-functional execution across engineering, data science, analytics, sales/ops, privacy/legal, and external partners, with strong communication in ambiguous and trade‑off‑heavy environments
• Platform thinking — standardize patterns, avoid bespoke solutions, and design for extensibility as the targeting surface scales across owned and 3P activation paths
• AI fluency — fluent use of modern AI tools to accelerate product work. Experience with AI, ML, and automation in product offerings

• The Ads Targeting and Audience Activation team is responsible for the products that enable advertisers to reach the right viewers on Roku
• We build the systems that transform Roku's rich identity, behavioral, contextual, and advertiser-provided signals into actionable audiences and targeting capabilities — activated across direct, self‑serve, and programmatic buying paths
• Our work sits at the heart of Roku Ads' value proposition: delivering relevant ad experiences for viewers while driving measurable outcomes for advertisers
• We're a cross‑functional group that partners closely with engineering, data science, sales, partnerships, and privacy/legal to ship products that scale across Roku's growing advertising ecosystem
• We're looking for a Senior Product Manager to own Roku's targeting and audience activation surface — the products that turn Roku's identity, behavioral, contextual, and advertiser-provided signals into the audiences and contextual targets that buyers activate against
• This role drives a multi‑quarter product roadmap that defines how Roku audiences are built, curated, distributed, and applied across direct, self‑serve, and programmatic activation paths
• This role sits at the intersection of product, engineering, data science, sales, and partnerships — and is central to one of Roku Ads' most important promises: marrying relevant ad experiences for our viewers with the outcomes that matter to advertisers, across every surface they buy
• Own the audience product surface end to end — segment creation, curation, lifecycle, discoverability, and activation across owned and external buying surfaces
• Set the strategy for how Roku audiences are made available to advertisers and partners — including governance, ownership, and role‑based access — and drive the product investments that make this scale
• Shape Roku's modeled audience strategy — including how Roku‑unique signals feed propensity and lookalike models, and how those models support both planning and in‑flight performance use cases
• Expand audience portability — drive Roku audience reach into the major external activation platforms, measure coverage and match performance, and prioritize the next set of integrations
• Land new targeting signals — define how new behavioral, attention, and contextual signals are productized, where they show up across surfaces, and how their value gets measured
• Drive the product investments that make targeting setup faster, more reliable, and more self‑serve for both internal teams and external buyers
• Partner cross‑functionally to ensure targeting products consume the right inputs and produce the right outputs across the ad stack
• Define success metrics for targeting — coverage, latency, signal adoption, attached‑revenue lift — and use them to drive prioritization and retire low‑value capabilities