Engineering Manager, Ads Signals & Targeting

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.

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Our Team

The Ads Engineering 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.

We are looking for a highly motivated engineering leader to drive the evolution of our core targeting and signals platforms for Netflix Ads. This team builds and scales the foundational systems behind audience and contextual targeting, enabling more relevant, privacy-forward ad experiences for our members and better performance for our advertisers. By connecting the right message to the right moment, Ads Core Targeting helps create an experience that feels personalized, valuable, and consistent with the quality members expect from Netflix.

As an Engineering Manager you will:

* Own the core signals and targeting systems that power relevant ads for Netflix members.

* Start from a solid foundation, with significant room to evolve the platform.

* Partner closely with ML teams to build advanced interest, lookalike, and expansion models.

* Work on high-scale, low-latency services that enrich every ad request in real time.

* Shape how Netflix activates first‑party and partner signals for targeting, optimization, and measurement.

* 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.

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Skills & experience we're seeking:

* Proven experience leading teams that build and operate high-throughput, low-latency distributed systems in ads targeting, or similarly demanding domains

* Hands-on background with signal services for ad request enrichment, including real‑time and batch data integration

* Strong familiarity with contextual and profile-based signals and how they are used for audience and contextual targeting

* Experience designing and managing signals registration,…