Director Software Engineering - Central Security

Meta; Helena (MT); Presencial; USD 271.000 - 347.000; Jornada completa

Descripción de la vacante

Meta is seeking a senior leader for Central Security to own identity and access management across its infrastructure. You will orchestrate cross-functional teams, drive secure-by-design principles in AI/ML lifecycles, and partner with executives to invest in scalable access controls.

This role demands broad security expertise and the ability to translate business needs into robust IAM solutions. You will lead efforts across high-impact domains, influence policy, and reduce access incidents by

Formación

• 10+ years of software engineering experience with security, identity, or infrastructure focus.
• 7+ years of engineering management experience, including managing engineering managers.
• Experience forming cross-functional partnerships across product, design, and data science.

Responsabilidades

• Define and drive the multi-year technical strategy for identity, authentication, and access management across Meta's infrastructure.
• Lead the development of a model for agent identity and authorization as AI agents act on behalf of people.
• Build and scale a distributed, multi-disciplinary organization of engineers and security teams across global sites.
• Partner with Security, Infrastructure, HR, Legal to balance security and operational velocity.
• Represent IAM perspectives to leadership including VPs and C-level executives.
• Drive measurable reduction in access-related security incidents by addressing root causes.

Conocimientos

Identity and access management

Security strategy

Engineering leadership

Cross-functional collaboration

Data-driven decision making

Herramientas

Linux

Windows

Descripción del empleo

Summary:

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.

Required Skills:

1. 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




2. 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




3. Build and scale a distributed, multi-disciplinary organization of software engineers, security engineers, and security operations associates across multiple global sites




4. Partner with Security, Infrastructure, HR, Legal, and other teams to translate ambiguous business requirements into well-articulated tradeoffs between security and operational velocity




5. Represent identity and access perspectives to leadership including VPs and C-level executives (CTO, CISO), advocating for appropriate investments and risk decisions




6. Drive measurable reduction in access-related security incidents by closing root-cause patterns rather than individually remediating incidents




7. Lead the effort to replace manual access approval and review processes with durable, automated controls at scale




8. Define and enforce access policy, supporting Meta's regulatory and compliance obligations




9. Develop technical controls that address the unique requirements of geographic expansion into higher-threat environments




10. Serve as an escalation point for urgent and highly confidential company escalations related to identity and access

Minimum Qualifications:

1. 10+ years of experience in software engineering, with a focus on security, identity, or infrastructure systems




2. 7+ years of engineering management experience, including managing engineering managers




3. Track record of building and scaling engineering organizations, including recruiting, developing, and managing the performance of engineers and engineering leaders




4. Experience forming cross-functional partnerships across product, design, and data science to deliver large-scale engineering outcomes




5. Experience reasoning rigorously with metrics and data, with understanding of statistical uncertainty, bias, and ecosystem trade-offs

Preferred Qualifications:

1. Background in agentic access, AI agent authorization models, or emerging identity paradigms




2. Experience leading identity and access management programs for workforces spanning multiple geographies and threat environments




3. Experience with highly-scaled distributed systems serving billions of requests




4. Track record of automating access controls and reducing manual review burden at scale




5. Experience with regulatory and compliance requirements related to identity and access management

Public Compensation:

$271,000/year to $347,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].