JobsEngineering Manager, Ads Signals & Targeting
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Engineering Manager, Ads Signals & Targeting

Netflix

Location

New York, NY

Type

Full-time

Posted

6/7/2026

Compensation

$436,000 - $791,000 per year

Undergraduate with 5+ Years of Experience
Approval 98.4%·Filings 128·New hires 57·
💎 Strong Sponsor
·FY 2025

Job description

The Engineering Manager for Netflix Ads will lead the evolution of core targeting and signals platforms, focusing on enhancing audience and contextual targeting for ad experiences. This role is part of the Ads Engineering team, which is dedicated to creating a world-class advertising ecosystem. The team aims to deliver relevant and privacy-forward ad experiences while driving performance for advertisers. The position requires a strong leader who can navigate a fast-paced environment and foster a high-performing team culture.

Requirements

  • 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, including taxonomies, hierarchies, schemas, and configuration management.
  • Experience leading ML engineers building and operating modeled profile audiences and lookalike models.
  • 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 to 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.

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

Benefits

  • Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.

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