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Director of Engineering, Business Messaging Optimization

Meta· Engineering
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Menlo Park, CA$271k - $347kFull-timePosted 4d ago

About the role

Director of Engineering to lead Marketing Messages Optimization for Meta's Business Messaging, overseeing end-to-end delivery funnel, signals, ranking, auction and pricing, and delivery infrastructure across multiple products and surfaces including WhatsApp and Messenger.

Responsibilities

  • Lead and grow a multi-team engineering organization spanning delivery infrastructure, ranking and auction, and signals and experimentation, including hiring and developing engineering managers and senior technical leaders
  • Set the multi-year technical vision and roadmap for marketing message delivery, including candidate retrieval, ranking, quality modeling, auction design, and pricing
  • Drive a quality-aware auction that balances advertiser value, business outcomes, and the experience of people receiving messages
  • Scale serving infrastructure to support rapid growth in traffic across multiple products, while improving efficiency, reliability, and observability
  • Build the signals and measurement foundation for optimization in a privacy-constrained environment, including experimentation that cleanly separates the effects of pricing, quality, and supply
  • Manage the funnel as one system: make tradeoffs across infrastructure capacity, model quality, and auction policy to maximize long-term value
  • Set a high operational bar for revenue-critical systems, including on-call health, alerting, and safe launch practices during peak seasons
  • Build strong partnerships with Ads ranking and delivery, WhatsApp, data science, product management, and privacy and policy teams to align roadmaps and land cross-organization initiatives
  • Partner with product leadership to ensure the optimization platform serves multiple products and buying surfaces

Qualifications

  • 10+ years of technical industry experience in software engineering
  • 7+ years of engineering management experience, including managing other engineering managers
  • Demonstrated experience in delivering large scale impact leveraging Machine Learning and partnering with cross-functional partners
  • Track record of building and scaling engineering organizations across multiple teams or product areas
  • Experience in establishing engineering strategy and roadmaps that span multiple teams and cross-functional partners
  • Experience diagnosing and resolving complex organizational health challenges, including retention, team structure, and leadership development

Skills

Required:Engineering leadershipMachine LearningStrategic roadmapping

Benefits

  • Bonus
  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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