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Overview
Lead / Manager

Product Manager, Methodology (Future Position)

Confirmed live in the last 24 hours

VideoAmp Careers Website

VideoAmp Careers Website

Compensation

$135,000 - $170,000/year

New York, NY or Los Angeles, CA
Hybrid
Posted April 2, 2026

Job Description

Product Manager, Methodology

New York City, NY or Los Angeles, CA  |   Hybrid   |   $135,000 – $170,000 + Equity + Benefits

 

About VideoAmp

 

VideoAmp is the tech-first measurement company transforming how advertising is valued, bought, and sold. Powered by currency-grade big data and a best-in-class technology stack, our platform gives advertisers, publishers, and agencies the ability to plan, optimize, and measure media investments across every screen — from linear TV and OTT to CTV and digital video.

VideoAmp is accelerating investment in agentic AI and intelligent optimization technologies — helping clients drive measurable, real-world outcomes in an increasingly complex media landscape. With 880% year-over-year measurement growth, 98% coverage of the TV publisher ecosystem, and partnerships with 11 agency groups and 1,000+ advertisers, we're not just keeping pace with the industry — we're defining what comes next.

We believe great work requires great people — people who say "I'll find a way" instead of "it can't be done."

 

The Role

 

VideoAmp is searching for a seasoned, data-savvy Product Manager, Methodology to join the expanding Product Methodology team within our Tech organization. You'll serve as an in-house methodology and analytical expert across our cutting-edge product offerings — from Cross-Screen Content Viewership to Ad Measurement, Outcomes, and Lift.

We're looking for a creative problem-solver with a strong passion for data and technology, and ideally experience or genuine interest in television content, viewership, and measurement. If that sounds like you, we'd love to connect.

 

What You'll Do

 
  • Serve as an in-house methodology and analytical expert for product offerings including Cross-Screen Content Viewership, Ad Measurement, Outcomes and Lift, and more.
  • Collaborate with Machine Learning, Data Science, Client Success, and Product teams to ensure projects are delivered accurately and on time.
  • Define clear product requirements and validation standards to ensure data accuracy and integrity across product offerings.
  • Develop analyses and present Summary of Findings reports to support client inquiries, internal research projects, and product development.
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