Senior Product Manager - Data Collaboration & Measurement

Roku is building the future of advertising measurement and data collaboration-and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.

You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.

If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement-this role is for you.

For California Only - The estimated annual salary for this position is between $125,375 - $261,600 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.

At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact.

We value your AI skills if have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.

- Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data

- Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities

- Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing

- Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely

- Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement

- Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)

- Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)

- Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes

- Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies-becoming the trusted voice for how Roku proves advertising effectiveness

- Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases

- Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data

- Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards

- Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition

- Define product requirements, user stories, and acceptance criteria for complex technical features

- Work closely with engineering teams to balance technical feasibility with business impact

- Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements

- Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

- 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms

- Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL

- Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape

- Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)

- Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution

- Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability

- Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders

- Strong written and verbal communication skills-you can explain complex technical concepts to both technical and non-technical audiences

- Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

- Experience working with advertisers, agencies, or measurement vendors directly

- Background in data science, analytics, or data engineering

- Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement

- Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques

- Knowledge of programmatic advertising, DSPs, and ad server technologies

- Track record of launching products that integrate third-party APIs or platforms