Ad Measurement Lead

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

The Ad Measurement Lead will play an integral role in building and executing Roku's ad measurement and research strategy, helping advertisers understand and quantify the value of advertising on the Roku platform. This role involves developing and managing a wide range of analytics, research, and measurement initiatives — from campaign effectiveness studies to meta-analyses — that demonstrate the reach, resonance, and return on investment of Roku's advertising products.

The Ad Measurement Lead will consult directly with advertisers and agencies to create tailored measurement plans, manage relationships with third‑party measurement providers, and collaborate cross‑functionally with marketing, sales, client services, product, and partnerships teams. Success in this position requires strong analytical acumen, comfort working with ambiguous data, and an entrepreneurial mindset to creatively solve measurement challenges for both internal and external stakeholders.

The ideal candidate brings a combination of quantitative rigor, client‑facing communication skills, and a passion for the evolving TV and streaming advertising landscape. This role also requires an AI‑first mindset, with the ability to leverage AI tools and agents to drive efficiency and scale across measurement workflows.

For New York Only - The estimated annual base salary for this position is between $85,500 - $129,300.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 value curious, adaptable builders, who can show how they've used AI, agents, or automation to move faster, improve quality, and scale their impact.

Strong candidates know how to frame problems, guide AI‑assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment.

• Consult with advertisers and agencies to develop measurement plans that evaluate advertising effectiveness and business outcomes
• Cultivate and maintain strategic relationships with agency analytics teams
• Lead quantitative and qualitative studies from start to finish, including scoping study feasibility, performing data analysis, generating reports, and presenting results to internal and external audiences
• Manage relationships with third‑party measurement providers and collaborate with internal stakeholders to onboard and integrate new providers
• Partner with marketing, sales, client services, product, partnerships, and other teams to execute strategic initiatives and develop scalable measurement solutions
• Conduct meta‑analyses and develop case studies using third‑party measurement data to educate clients, the broader market, and internal product and analytics teams
• Continuously evaluate and improve existing measurement solutions and methodologies
• Provide guidance and mentorship to junior team members through knowledge sharing and training