Engineering Manager - Ads Measurement
Listed on 2026-08-06
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Software Development
Software Engineer, Full Stack Developer, Software Architect, AI Engineer (Applied/Software)
Engineering Manager - Ads Measurement
New York, New York, United States of America
• Los Gatos, California, United States of America
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
Since launching our ad-supported tier in 2022, the momentum has been unstoppable—we reach over 94 million global monthly active users! As we enter our fourth year, our ambition is massive, and we are just getting started.
The Ads Platform team at Netflix is dedicated to creating a world-class advertising ecosystem that drives our advertising business. This team's mission is to develop advanced technology that ensures exceptional experiences for both our members and advertisers. Our responsibilities encompass a broad spectrum of products, ranging from sales and media planning to optimizing advertiser outcomes and execution. This includes inventory and order management, campaign execution, ad serving, audience and identity management, measurement, reporting, and finance.
We use several Netflix investments and innovations - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding, and metadata, etc. We deliver ads in a manner that's thoughtful of our member's viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving so that members only see the most appropriate ads for them.
Our team is faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that's rapidly growing, we seek to build unique value propositions that help us differentiate us and become a market leader in record time.
Our roles come with expectations of delivering in a rapid clip, comfort with lofty goals and big ambitions, the visibility that comes with strategic initiatives, and responsibility and an appetite to operate like a startup within an established company.
The Ads Measurement team builds systems that enable advertisers on Netflix to quantify campaign outcomes. Leveraging a blend of Netflix innovations and both first-party and third-party solutions, we deliver ads that respect the viewing experience while driving impactful results for advertisers. Our tools empower advertisers to effectively measure and analyze these outcomes.
We are looking for a people manager to join us on this journey, to lead some exciting initiatives, and the talented engineers who work on realizing our ambitious vision.
As an Engineering Manager you will:
- Drive success in a fast paced, flat organization with minimal process and a heavy emphasis on ownership.
- Support your team by contextualizing the larger vision, enabling prioritization and fostering high focus and executional excellence.
- Operate as an ambassador of the Netflix Culture
- Create a dream team by hiring, retaining, and growing high performing talent.
Skills & experience we're seeking:
- 10+ years of total experience with 3+ years of management experience in building and leading diverse software engineering teams.
- Deep expertise in building first-party measurement solutions like conversion lift, brand lift, geo lift, and incrementality and designing end-to-end experimentation frameworks that produce statistically rigorous, advertiser-grade results at scale.
- Proven experience leading teams that built out causal inference and attribution systems.
- Experience building scalable data pipelines and measurement APIs that surface lift and attribution results to internal teams and external advertisers, with a strong command of the tradeoffs between measurement precision, privacy constraints, and advertiser reporting needs.
- A strong product mindset along with experience in delivering…
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