Job description

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. Define and drive the multi-year technical strategy for identity, authentication, and access management across Meta's infrastructure, spanning production environments (Linux), corporate environments (Windows, Active Directory), third-party SaaS, and public cloud Lead the development of a credible, adopted model for agent identity and authorization as AI agents increasingly act on behalf of people across Meta's infrastructure Build and scale a distributed, multi-disciplinary organization of software engineers, security engineers, and security operations associates across multiple global sites Partner with Security, Infrastructure, HR, Legal, and other teams to translate ambiguous business requirements into well-articulated tradeoffs between security and operational velocity Represent identity and access perspectives to leadership including VPs and C-level executives (CTO, CISO), advocating for appropriate investments and risk decisions Drive measurable reduction in access-related security incidents by closing root-cause patterns rather than individually remediating incidents Lead the effort to replace manual access approval and review processes with durable, automated controls at scale Define and enforce access policy, supporting Meta's regulatory and compliance obligations Develop technical controls that address the unique requirements of geographic expansion into higher-threat environments Serve as an escalation point for urgent and highly confidential company escalations related to identity and access 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

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Keywords to mirror

aiml

Platform: meta
Effort: medium