Software Engineer (Technical Leadership) - Central Security

Meta•Menlo Park, CA

12d•$219,000 - $301,000

About The Position

Join Central Security, Meta’s first line of defense technology team, which manages risk across critical security domains. Work on a cross-functional team of engineers, analysts, product managers, and program managers, collaborating with colleagues across Product, Infrastructure, and Enterprise Engineering. Develop automated and autonomous security systems using AI/ML across high-impact product security domains. The organization operates at the intersection of cutting-edge technology and enterprise security, helping shape Meta’s approach to security across its technology stack, from custom-built systems to commercial software such as cloud services and increasingly sophisticated AI/ML systems. Work 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 products built on them, including classical ML, agentic product features, and frontier models. Help navigate tradeoffs between security requirements and operational friction so Meta can maintain its pace of innovation while remaining secure.

Requirements

12+ years of programming experience in a relevant language, or 8+ years of experience with a PhD.
Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Experience mentoring and influencing executive stakeholders across organizations.
Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
Experience communicating and working across functions to drive solutions.
Proven track record of planning a multi-year roadmap in which short-term projects ladder to a long-term mission.
Experience driving large cross-functional or industry-wide engineering efforts.

Nice To Haves

Experience with programming languages such as C, C++, or Java, and scripting languages such as Python, JavaScript, or Hack.
8+ years of relevant experience building large-scale infrastructure applications or similar experience.
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Demonstrated ongoing AI skill development, such as prompt/context engineering and agent orchestration, and staying current with emerging AI technologies.
Demonstrated curiosity about security, such as a track record of reasoning about failure modes, abuse cases, or threat models in systems built, without requiring prior formal security experience.

Responsibilities

Drive the team’s goals and technical direction to pursue opportunities that make the larger organization more efficient.
Communicate complex features and systems effectively and in detail.
Understand industry and company-wide trends to help assess and develop new technologies.
Partner and collaborate with organization leaders to improve team and organizational performance.
Identify opportunities for the larger organization and influence appropriate stakeholders on staffing and prioritization.
Lead the long-term technical vision and roadmap for large cross-company efforts.
Suggest, collect, and synthesize requirements and create an effective feature roadmap.
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.