Drimva

Meta

Software Engineering Director, AI for Incident Response

$271K–$347K

Menlo Park, CA · Director · Full-time · Posted Oct 2, 2026

Experience
10+ years of software engineering experience and 7+ years of engineering management experience.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Leads the engineering strategy, organization, and delivery of an AI-powered incident response platform that investigates incidents and safely executes mitigations in Meta’s production environment.

What you'll do

  • Set the technical, product, and organizational roadmap for incident response agents and progressive autonomy.
  • Lead platform architecture, delivery, evaluation, and safeguards, including policy boundaries, validation, auditability, and rollback.
  • Build and develop engineering teams and partner across infrastructure, product, product management, and data science.

What they ask for

  • 10+ years of software engineering experience, including technical leadership; 7+ years of engineering management experience, including leading multiple teams or managers.
  • Experience defining and executing engineering strategy for large-scale distributed systems, reliability platforms, developer infrastructure, or production AI systems, and operating critical, always-on production workloads.
  • Experience building adopted platforms, evaluating complex automated systems, establishing safeguards, and delivering measurable cross-organizational outcomes.
  • Experience with incident management, SRE, observability, on-call operations, or automated remediation at significant scale; safe execution systems; and production LLM-based or tool-using agents.

Pay

$271,000/year to $347,000/year (base salary)

Tools

LLM-based agents

AI focus

Lead an AI incident response agent that gathers context, investigates incidents, identifies root causes, plans and executes safe mitigations, and improves through evaluation and continuous learning.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)