Senior Product Manager – Data Collaboration & Measurement

Roku•San Jose, CA

10h•Hybrid

About The Position

Roku is building the future of advertising measurement and data collaboration. This role sits at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. The mission is to enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration. The Product Manager will partner with industry-leading measurement vendors and work with cutting-edge cleanroom technologies to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is an 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 themselves as a trusted partner across agencies, brands, and measurement providers. The ideal candidate is 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.

Requirements

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

Nice To Haves

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

Responsibilities

Drive Data Collaboration Strategy & Execution: 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.
Expand 3rd Party Measurement Ecosystem: 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.
Deliver a Closed-Loop Measurement System: 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.
Drive Product Excellence: 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.