You'll be joining Central Security, Meta's first line of defense technology team, managing risk across critical security domains. You'll work within a cross-functional team of engineers, analysts, product managers and program managers, collaborating closely with colleagues across Product, Infrastructure and Enterprise Engineering. You will develop automated and autonomous security systems using AI/ML across high-impact security domains including Identity and Access Management, Product Security, Threat Detection, and Detection & Response. The organization operates at the intersection of cutting-edge technology and enterprise security, helping shape how Meta approaches security across our entire technology stack, from custom-built systems to commercial software such as cloud services, and increasingly sophisticated AI/ML systems. Work in this organization includes embedding secure-by-design principles across the AI/ML lifecycle from conception to deployment, and identifying, assessing and mitigating security risks unique to AI/ML systems and the products built on them: classical ML, agentic product features, and frontier models. You will help navigate the tradeoffs between security requirements and operational friction so that Meta can maintain its pace of innovation while remaining secure.

Qualifications:

10+ years of experience in software engineering, with a focus on security, identity, or infrastructure systems 7+ years of engineering management experience, including managing engineering managers Track record of building and scaling engineering organizations, including recruiting, developing, and managing the performance of engineers and engineering leaders Experience forming cross-functional partnerships across product, design, and data science to deliver large-scale engineering outcomes Experience reasoning rigorously with metrics and data, with understanding of statistical uncertainty, bias, and ecosystem trade-offs Background in agentic access, AI agent authorization models, or emerging identity paradigms Experience leading identity and access management programs for workforces spanning multiple geographies and threat environments Experience with highly-scaled distributed systems serving billions of requests Track record of automating access controls and reducing manual review burden at scale Experience with regulatory and compliance requirements related to identity and access management