Senior Roku Developer Jobs in California (NOW HIRING)

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.

For California Only - The estimated annual base salary for this position is between $290,000 - $310,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

• 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

• 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