Senior Product Manager, Programmatic Demand

NBCUniversal•New York, NY

4d•$140,000 - $175,000•Hybrid

About The Position

NBCUniversal’s Ad Sales One Platform Ad Products team builds and operates systems supporting its advertising business, including ad serving, programmatic, and activation capabilities across CTV and digital. Within AP&S, the Programmatic Demand team develops product strategy and demand-side capabilities across NBCUniversal’s programmatic ecosystem. The Senior Product Manager will drive the evolution of how programmatic demand is optimized, scaled, and productized across NBCUniversal’s streaming footprint. The role develops scalable products, systems, and workflows to improve programmatic demand performance. It involves identifying inefficiencies in auction dynamics, platform behavior, and partner integrations, then translating insights into durable product solutions. A key focus is live event monetization, where concurrency, DSP behavior, and system constraints create complex demand-side challenges. The position currently follows a hybrid schedule, requiring work from the office at least four days per week. The company may change in-office requirements.

Requirements

Strong understanding of programmatic advertising ecosystems, including digital ad serving, measurement frameworks, identity signals, and privacy controls across CTV and digital environments.
Experience implementing and validating measurement and data pipelines, including bid requests, attribution, viewability, IVT, and delivery metrics.
Working knowledge of privacy regulations and industry signals, including CCPA, GDPR, GPP, ATT, and COPPA, and their implications for data usage, identity resolution, targeting, and measurement.
Experience understanding identity and user signals, such as device IDs, platform identifiers, and consent signals, for privacy-compliant audience targeting and optimization.
Ability to translate complex technical, business, and regulatory requirements into scalable, productized solutions, particularly in programmatic demand, auction dynamics, or partner integrations.
Strong analytical and problem-solving skills, including diagnosing performance gaps, data discrepancies, and system inefficiencies and driving root-cause resolution in production environments.
Experience developing or leveraging automation and/or AI-driven approaches to monitor, validate, and improve demand system and measurement stability, quality, and performance.
Excellent communication and collaboration skills across Product, Engineering, Ad Ops, Sales, Strategy, and external partners.
Ability to operate in high-scalability, high-concurrency environments, such as CTV and live events, with a focus on durable, system-level solutions.
At least 3 years of product management experience.

Nice To Haves

Product management experience within digital advertising, ad tech, or data-driven platforms.
Experience in CTV, streaming, or programmatic demand.

Responsibilities

Design and build scalable tools, workflows, and automation to analyze and optimize auction performance across bid rate, win rate, fill, pacing, and timeouts.
Translate performance insights into productized capabilities, such as automated optimization frameworks, configuration layers, or decisioning logic.
Partner with Engineering to implement systems that continuously improve demand efficiency and revenue outcomes.
Identify performance gaps and system constraints in live event auctions, including scaling limits, DSP throttling, and timeout behavior.
Develop product solutions to increase stability, scalability, and performance in high-concurrency environments.
Partner across teams and with external parties to ensure platform and partner readiness for tentpole events.
Define product-driven approaches to deal structure, configuration standards, and optimization across PG and PMP.
Improve how platform settings, including those in FreeWheel and partner DSPs, translate into predictable demand performance.
Productize best practices to reduce inefficiencies and variability in deal execution.
Identify systemic partner performance issues and drive long-term solutions rather than one-off fixes.
Inform product strategy based on partner capabilities, limitations, and evolving DSP behavior.
Own requirements and validation for demand optimization features and experiments.
Align Product, Engineering, Ad Ops, Sales, and Strategy on priorities and outcomes.
Lead root-cause analysis and improve systems and processes to prevent recurring issues.
Translate product functionality into clear internal guidance and go-to-market alignment.
Monitor industry trends and inform product direction.