Engineering Manager, Ads Signals & Targeting

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.

- 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.

- Create a dream team by hiring, retaining, and growing high performing talent.

- 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, governance, and curation frameworks

- Expertise with targeting and audience definition metadata (e.g., taxonomies, hierarchies, schemas, configuration management)

- Experience leading ML engineers building and operating modeled profile audiences and lookalike models, including taking these models from development through integration into production systems.

- Track record of building and leading high-performing engineering teams, setting technical direction, and delivering complex platform initiatives

- Ability to navigate ambiguity and define clear strategies in a fast-evolving ads landscape

- Excellent communication skills; you can explain complex systems to both technical and non-technical partners

- 10+ years of total experience with 3+ years of management experience in building and leading diverse software engineering teams.

- A strong product mindset along with experience in delivering large complex projects collaborating with a variety of cross-functional stakeholders that are technology, operations or business focused.

- General understanding of the advertising marketplace and landscape.

- Strong analytical and strategic thinking with demonstrated product sense and leadership in the working environment

- Familiarity with legal compliance and changing landscape of ads regulations around the world.

- Familiarity with ML and advertising systems that leverage data to drive optimal outcomes for the users and the business.

- Experience working in the CTV space and knowledge of its unique constraints

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.

The range for this role is $436,000.00 - $791,000.00.