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Software Engineering Director, AI for Incident Response

Meta· Engineering
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Menlo Park, CA$271k - $347kFull-timePosted 2w ago

About the role

Director-level engineering leadership role focusing on building an AI-powered incident response agent and related reliability and automation capabilities within Meta’s production environment, with a human-on-the-loop operating model and broad cross-functional impact.

Responsibilities

  • Define and drive the engineering strategy and roadmap for AI-powered incident response, progressing from investigation and diagnosis to safe, end-to-end mitigation and continuous learning
  • Lead the architecture and delivery of an agent that reasons across telemetry, code, configurations, deployments, service dependencies, and incident history to identify root causes and take appropriate action
  • Establish a human-on-the-loop operating model with progressive autonomy, explicit policy and permission boundaries, independent validation, auditability, rollback, and clear escalation paths
  • Build Opsmate as an extensible platform that combines shared, out-of-the-box capabilities with domain-specific skills and agents contributed by product groups and individual on-call engineers
  • Establish trusted evaluation and measurement systems that connect agent quality to customer and reliability outcomes, including investigation accuracy, adoption, time to mitigation, and reduced operational effort
  • Partner deeply with product groups, infrastructure teams, product management, and data science to understand what success means for their services and build toward shared outcomes
  • Ensure the platform itself meets a high bar for reliability, latency, scale, security, privacy, and cost in Meta’s production environment
  • Build and grow an engineering organization that consistently delivers measurable results by attracting, developing, and retaining engineers and engineering managers across distributed systems, reliability, and applied AI
  • Create a culture of technical depth, rapid learning, operational excellence, and accountability for realized customer impact
  • Contribute to company-wide engineering and AI initiatives, including recruiting, technical standards, and responsible AI practices

Qualifications

  • 10+ years of software engineering experience, including experience in technical leadership roles
  • 7+ years of engineering management experience, including leading multiple teams or managers and delivering products or systems with measurable impact
  • Experience defining and executing engineering strategy for large-scale distributed systems, reliability platforms, developer infrastructure, or production AI systems
  • Experience building and operating systems that support critical, always-on production workloads
  • Track record of building broadly adopted platforms and driving outcomes across organizational boundaries
  • Experience evaluating complex automated systems and establishing safeguards for trustworthy production operation
  • Experience building engineering teams through hiring, onboarding, and developing engineers and managers at multiple levels
  • Experience partnering cross-functionally with product, data science, and infrastructure organizations
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Skills

Required:Engineering leadershipDistributed systems

Benefits

  • bonuses
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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