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Software Engineering Manager, Ads Systems

Meta· Artificial Intelligence
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Hybrid (London, UK)Full-timePosted 4d ago

About the role

Engineering Manager role responsible for leading an area within Core Ads Quality, shaping the systems that determine ad quality across Facebook, Instagram, and Messenger. Owns an end-to-end ads quality area from signals and models to ranking, auction, experimentation, and long-term measurement; defines vision and strategy; partners with product, data science, data engineering, and integrity to deliver measurable impact at scale.

Responsibilities

  • Own an ads quality area end to end, accountable for its strategy, roadmap, execution, and outcomes across signal development, modeling, ranking and auction integration, experimentation, and production serving
  • Define the vision and technical strategy for the area, including quality-aware ranking and bidding, user value adjustments in the auction, and quality protections against low-quality and harmful ad experiences
  • Own the trade-off between short-term revenue and long-term user and advertiser value: define how quality is measured, how it is priced into the auction, and how launch decisions account for long-term effects
  • Actively engage with technical direction, system design, and code quality, staying current with the state of the art in ads ranking, auction design, causal inference, and ML
  • Partner with product, data science, data engineering, and integrity to define problem formulations, prioritize experiments, and translate system improvements into measurable business and user outcomes
  • Build and evolve shared ads quality infrastructure — signal libraries, bid aggregation, experimentation and reporting tooling — so that engineers across the ads organization can ship quality improvements safely and quickly
  • Proactively identify and resolve execution risks, including revenue regressions, signal and label quality issues, experiment validity problems, reliability incidents, and capacity constraints
  • Increase experimentation velocity and reduce time to decision, establishing rigorous experimentation and long-term measurement practices
  • Recruit, develop, and retain engineers with deep expertise in ads systems, and grow strong technical leaders within the area
  • Establish a culture that values technical excellence, rigorous experimentation, open collaboration, and AI-native ways of working
  • Hold the area accountable for performance, technical depth, and cross-functional engagement
  • Represent the area's work to senior leadership, communicating revenue and quality trade-offs, strategic bets, and their implications clearly

Qualifications

  • Significant experience in software engineering, including work on large-scale production systems such as ads delivery, ranking, recommendation, search, or marketplaces
  • Experience managing engineers, including ownership of a broad technical area with accountability for its strategy and outcomes
  • Experience driving technical strategy and roadmap decisions for large-scale ranking, auction, or ML-driven production systems
  • Experience with online experimentation (A/B testing) and using data to make launch decisions that balance competing metrics
  • Experience partnering cross-functionally with product, data science, and other engineering groups to define problem scope and deliver measurable outcomes
  • Experience recruiting, developing, and retaining engineering talent in ambiguous, high-impact areas

Skills

Required:Software engineering leadershipOnline experimentation (A/B testing)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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