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

The Lead, Data Operations – Local TV Domain Expert will play a critical role in shaping and operationalizing VideoAmp's local measurement capabilities. This role owns the design, execution, and quality assurance of complex local TV workflows, supporting emerging opportunities in local station-level measurement and unwired aggregation.

This is a hands-on, domain-driven role sitting at the intersection of Data Operations, Data Science, Product, and Engineering. The ideal candidate brings deep experience in local broadcast data — including affiliate structures, as-run logs, and station-level variability — and can translate that knowledge into scalable operational processes.

This role will be central to evaluating and enabling new local measurement capabilities, including affiliate roll-ups, log-level integrations, and near currency-grade outputs.

What You'll Do

• Own end-to-end operational design and execution for local TV measurement workflows, including station-level data, affiliate roll-ups, and market-specific nuances.
• Define and implement QA frameworks for local data, including anomaly detection, gap identification (e.g. missing affiliates), and reconciliation of logs and schedules.<