Program Manager, Security Risk Program

We are building a governance, risk, and compliance function to enable our company to build products that can withstand regulatory scrutiny, and ensure Meta continues to meet global regulatory requirements and manage risk. Meta's Risk and Compliance Program (RCP) is the central engine driving risk management and compliance at the company, supporting Meta and the family of apps. Within RCP, the Security Risk Program (SRP) is the second-line function accountable for how Meta identifies, assesses, quantifies, and reports its security risk posture — delivering global security risk assessments, Capability Maturity & Effectiveness (CME) evaluations, AI and cloud risk assessments, and board-level and regulatory reporting.

We are seeking a Security Risk Program Manager to build one of the program's highest-priority new capabilities: security risk assessment of AI product launches. Today, AI launches receive ad-hoc coverage through security risk assessments designed for infrastructure — not for product-launch cadence, and not for cross-domain AI risk spanning Security, Privacy, Integrity, and Legal. You will design that capability from the ground up and scale it from roughly five assessments per quarter today to twenty or more per quarter by H1 2027, in step with Meta's AI product velocity.

This is a builder and an influencer role in equal measure. AI launch risk cannot be assessed by one function acting alone — it requires Central Security, product groups, Privacy, Integrity, and Legal moving through a shared process on a launch timeline. You will own that operating model: translating product and engineering reality into a defensible risk position, and translating regulatory obligation into assessment work that product teams can actually absorb without stalling a launch. The ideal candidate is comfortable with ambiguity, effective in high-pressure and fast-moving situations, and able to build durable relationships across a wide range of technical and non-technical stakeholders.

• 6+ years of experience in governance, risk, and compliance, security risk management, regulatory compliance, or a directly related discipline
• 2+ years of program management experience in a corporate environment
• Experience with risk and compliance precepts, practices, and solutions
• Demonstrated experience designing a program or process from the ground up — not solely running an established one — including methodology, operating model, and rollout
• Demonstrated experience driving cross-functional alignment across technical and non-technical partners without direct authority, including with engineering or product organizations
• Proven verbal and written communication skills, with success influencing a range of audiences including senior leadership
• Experience assessing or managing risk for AI or machine learning systems, or familiarity with AI-specific regulatory and risk frameworks (EU AI Act, NIST AI RMF)
• Experience embedding risk, security, or compliance review into a fast-moving product development lifecycle and launch process
• Experience working in information security and/or cybersecurity
• Experience partnering with a central security or infrastructure security organization as a second-line risk function
• Experience defining tooling requirements or applying automation and AI to scale GRC operations
• Knowledge of global regulatory frameworks, compliance practices, and risk management best practices
• experience with risk assessments, regulatory responses, audits, or control design
• 3+ years working in a corporate environment subject to audit against federal or industry-wide regulations
• Experience in a technology, financial services, consulting, or related field
• Advanced degree and/or relevant certification (CISSP, CRISC, CISM, CISA)
• 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

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