Job Description

Cross-Meta Security’s mission is to protect the company, our community, and their data while empowering safe innovation. To achieve this, we are building a small team of Senior Individual Contributors (ICs) who can solve security-related technical problems across the company in collaboration with various Meta product groups and pillars.

Responsibilities
Lead cross-organizational technical teams to solve challenging cross-domain security problems.
* Bring together engineering teams that work in adjacent areas to build shared context and tackle bigger problems than they can solve individually.
* Operate with ownership and accountability for one or more security risks at Meta and drive and influence people to do the right things to comprehensively address those risks while enabling the company to move fast.
* Disambiguate and decompose problems and solutions and create clarity for others.
* Provide technical guidance and collaborate with cross-functional partners to define projects goals and milestones.
* Bolster engineering excellence in everything you do.

Qualifications
B.S. Computer Science or related field
* 15+ years of experience managing security risk and navigating the tradeoff between security and friction in a large organization
* 15+ years of experience in driving large cross-company engineering and Security initiatives
* Experience with system design, threat modeling and risk assessment
* Experience building engineered controls and guardrails to manage risks
* Application of security principles such as least privilege, defense in depth, segmentation
* Knowledge of current threat tactics, techniques, and procedures
* Experience in distributed systems, access control, encryption, intrusion detection
* Effective communication that creates clarity and simplicity for others Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies