Summary
Builds and scales Meta's Security Risk Program capability for assessing security risk of AI product launches, growing coverage from ~5 to 20+ assessments per quarter. Day to day involves designing the cross-functional operating model with Security, Privacy, Integrity, and Legal, plus regulatory and board-level risk reporting.
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.