**Summary:**

We are building a governance, risk, and compliance function to enable our company to buildproducts that can withstand regulatory scrutiny, and ensure Meta continues to meet globalregulatory 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 receivead-hoc coverage through security risk assessments designed for infrastructure — not forproduct-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 fiveassessments per quarter today to twenty or more per quarter by H1 2027, in step with Meta's AIproduct velocity.This is a builder and an influencer role in equal measure. AI launch risk cannot beassessed 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 thatoperating model: translating product and engineering reality into a defensible risk position, andtranslating regulatory obligation into assessment work that product teams can actually absorbwithout stalling a launch. The ideal candidate is comfortable with ambiguity, effective inhigh-pressure and fast-moving situations, and able to build durable relationships across a widerange of technical and non-technical stakeholders.

**Required Skills:**

Program Manager, Security Risk Program Responsibilities:

1. 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.

2. 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.

3. 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.

4. 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.

5. Build and maintain a consolidated AI risk register that gives leadership a single view of.

6. security risk across the AI product portfolio, and produce the reporting that keeps that view current for VP and executive audiences.

7. 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.

8. Ensure assessments and supporting artifacts are produced to internal standards, are.

9. submission-ready, and constitute defensible evidence of systematic security due diligence for regulators and auditors (including EU AI Act and NIST AI RMF expectations).

10. 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.

11. 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:**

Minimum Qualifications:

12. 8+ years of experience in governance, risk, and compliance, security risk management,

13. regulatory compliance, or a directly related discipline

14. 3+ years of program management experience in a corporate environment

15. Experience with risk and compliance precepts, practices, and solutions

16. Demonstrated experience designing a program or process from the ground up — not solely running an established one — including methodology, operating model, and rollout

17. Demonstrated experience driving cross-functional alignment across technical and non-technical partners without direct authority, including with engineering or product organizations

18. Proven verbal and written communication skills, with success influencing a range of audiences including senior leadership

**Preferred Qualifications:**

Preferred Qualifications:

19. 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)

20. Experience embedding risk, security, or compliance review into a fast-moving product

21. development lifecycle and launch process

22. Experience working in information security and/or cybersecurity

23. Experience partnering with a central security or infrastructure security organization as a

24. second-line risk function

25. Experience defining tooling requirements or applying automation and AI to scale GRC operations

26. Knowledge of global regulatory frameworks, compliance practices, and risk management best

27. practices

28. experience with risk assessments, regulatory responses, audits, or control design

29. 3+ years working in a corporate environment subject to audit against federal or industry-wide regulations

30. Experience in a technology, financial services, consulting, or related field

31. Advanced degree and/or relevant certification (CISSP, CRISC, CISM, CISA)

32. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

33. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

34. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

**Public Compensation:**

$153,000/year to $209,000/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 accommodations-ext@meta.com.