Senior Product Leader — Data Collaboration & Measurement

Roku; New York (NY); Hybrid; USD 125,375 - 261,600; Full time

Benefits offered by this job

Health insurance

Equity awards

Life insurance

Disability benefits

Parental leave

Wellness benefits

Paid time off

Job summary

Roku is seeking a product leader to shape data collaboration and measurement within its advertising ecosystem. You’ll sit at the intersection of Roku’s data assets, privacy-enhancing technologies, and collaborate with leading vendors to build a closed-loop system for planning, measuring, and optimizing campaigns.

You will own the RDC roadmap, partner with Snowflake, LiveRamp, and AWS Clean Rooms to design privacy-safe capabilities, and work cross-functionally with engineering, data science,

Qualifications

• 4+ years in product management with 2+ years in advertising technology, measurement, or data platforms.
• Strong working knowledge of cleanroom solutions and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL.
• Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, MMM) and the vendor landscape.
• Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP).
• Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution.
• Knowledge of identity ecosystems in advertising, onboarder solutions, PII matching, and privacy-safe audience addressability.
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executives.
• Strong written and verbal communication skills to explain complex concepts to diverse audiences.
• Strategic thinker with strong execution skills and ability to balance big-picture view with detail-oriented work.

Responsibilities

• Drive Data Collaboration Strategy & Execution.
• Own the product roadmap for Roku Data Cloud (RDC) to enable seamless collaboration within the media ecosystem.
• Partner with cleanroom technology providers to design and launch privacy-safe data collaboration capabilities.
• Define and prioritize advertiser and agency use cases including planning, measurement, attribution, and incrementality testing.
• Translate technical data structures and query logic into intuitive product experiences for marketers.
• Navigate the advertising identity ecosystem with onboarder solutions and PII matching for precise targeting and measurement.
• Expand third-party measurement ecosystem partnerships (Nielsen, Videoamp, iSpot, Kochava, Appsflyer, HAUS, Measured).
• Own product strategy for integrating measurement capabilities into Roku’s ad platform (server-to-server, pixel-based, VAST/VMAP).
• Collaborate with engineering, data science, sales, and partnerships to prioritize measurement integrations.
• Evangelize Roku’s measurement capabilities to agencies, brands, and industry bodies as a trusted voice for ad effectiveness.
• Deliver a Closed-Loop Measurement System across planning, delivery, and optimization.
• Champion PETs for secure multi-party computation and data protection.
• Ensure measurement methodologies are rigorous and industry-aligned.
• Support sales and client success with technical expertise.

Skills

Cross-functional collaboration

Strong communication

Strategic thinking

Execution

SQL

Technical fluency

Advertiser/agency use cases

Tools

VAST/VMAP

Snowflake Clean Room

LiveRamp Clean Room

AWS Clean Room

Job description

Roku is seeking a product leader to shape data collaboration and measurement within its advertising ecosystem. You’ll sit at the intersection of Roku’s data assets, privacy-enhancing technologies, and collaborate with leading vendors to build a closed-loop system for planning, measuring, and optimizing campaigns.

You will own the RDC roadmap, partner with Snowflake, LiveRamp, and AWS Clean Rooms to design privacy-safe capabilities, and work cross-functionally with engineering, data science,