Engineering Manager, Ads Signals & Targeting

Netflix, Inc.; New York (NY); On-site; USD 436,000 - 791,000; Full time

Benefits offered by this job

Health plans

Mental health support

401(k) retirement plan

Stock options

Flexible time off

Job summary

Netflix, Inc. is looking for a leader in ad engineering to own the core signals and targeting systems providing exceptional advertising experiences. You will partner with ML teams to build advanced models and operate high-scale services for real-time ad requests.

The ideal candidate will have 10+ years in software engineering, particularly in ads targeting, and a successful track record of leading diverse engineering teams. Comprehensive benefits including health plans and stock options are offered.

Qualifications

• 10+ years of experience with 3+ years in management of software engineering teams.
• Hands-on experience with high-throughput, low-latency systems in ads targeting.
• Strong familiarity with contextual and profile-based signals.
• Ability to navigate ambiguity and define clear strategies.

Responsibilities

• Own the core signals and targeting systems for Netflix's advertising.
• Partner with ML teams for advanced model building.
• Work on high-scale, low-latency ad services.
• Hire and develop high-performing engineering talent.

Skills

Distributed systems expertise

Signal services experience

Targeting and audience definition

Leadership in ML engineering

Analytical and strategic thinking

Excellent communication skills

Product mindset

Job description

Job Overview

At Netflix, the Ads Engineering team develops advanced technology to deliver exceptional advertising experiences for members and advertisers. We focus on inventory, order management, campaign execution, ad serving, audience and identity management, measurement, reporting, and finance. This role leads the evolution of Netflix’s core targeting and signals platforms.

Responsibilities

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

Required Experience & Skills

• 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.

Nice to Haves

• 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.

Compensation

Salary range: $436,000 – $791,000 annually.

Benefits

Netflix provides comprehensive benefits including health plans, mental health support, 401(k) retirement plan with employer match, stock option program, disability programs, health savings and flexible spending accounts, family-forming benefits, life and serious injury benefits, paid leave of absence, and flexible time off.

Equal Opportunity and Inclusion

Netflix is an equal-opportunity employer and celebrates diversity. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.