Software Engineering Director, AI for Incident Response

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

Minimum 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

Preferred Qualifications

• Experience with incident management, SRE, observability, oncall operations, or automated remediation at significant scale
• Experience designing safe execution systems, including identity, authorization, sandboxing, validation, rollback, and auditability
• Experience building extensible platforms that allow domain teams to contribute specialized capabilities while preserving a coherent user experience and control plane
• Track record of taking a technically ambitious product from early adoption to trusted, broad production use
• Experience managing other engineering managers and building a deep technical and management bench across multiple levels
• Experience operating LLM-based or tool-using agents in production, including evaluation, orchestration, and progressive autonomy

Compensation

• $271,000/year - $347,000/year; Country: US; Bonus eligible; Equity eligible

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