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.
Program Manager, Security Risk Program Responsibilities
Design and implement Meta's AI Launch Risk Assessment framework end to end — intake criteria, cross-domain risk taxonomy, assessment methodology, and launch-gate outputs — and scale delivery from ~5 to 20+ assessments per quarter by H1 2027.
Build and partner to manage the XFN operating model that coordinates Central Security, product groups, Privacy Risk Management, Integrity Risk Management, and Legal through each assessment, with clear roles, handoffs, and decision rights on a launch timeline.
Partner directly with product and engineering teams on high-priority AI launches — engaging early enough that security risk review informs design decisions rather than gating release, and giving product teams a predictable, well-documented path through second-line review.
Serve as the connection point between the Security Risk Program, Central Security leadership, Legal, and first-line business teams, representing security risk positions and negotiating assessment scope, sequencing, and remediation commitments.
Build and maintain a consolidated AI risk register that gives leadership a single view of.
security risk across the AI product portfolio, and produce the reporting that keeps that view current for VP and executive audiences.
Define tooling requirements and drive AI-enabled automation across the assessment lifecycle — identifying where automation can scale throughput without compromising assessment defensibility, and partnering with tooling and engineering owners to deliver it.
Ensure assessments and supporting artifacts are produced to internal standards, are.
submission-ready, and constitute defensible evidence of systematic security due diligence for regulators and auditors (including EU AI Act and NIST AI RMF expectations).
Identify risks, dependencies, and blockers across the program, define mitigation plans, monitor key delivery and SLA metrics, and drive corrective action with stakeholders when performance deviates.
Create and facilitate presentations that build senior leadership understanding and influence decision-making, and provide mentorship and guidance to junior team members on program design and assessment practice.

Minimum Qualifications:

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

Preferred Qualifications:

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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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