Regulatory Escalations Manager

Meta's Regulatory Escalations team sit at the intersection of platform integrity, regulatory compliance, and operational excellence. As a Regulatory Escalations Manager, you will own the resolution of Meta's most complex, time-sensitive regulatory escalations across the Family of Apps - spanning government inquiries, content regulation mandates, and cross-jurisdictional compliance incidents. You will work at the boundary of human judgment and AI-assisted operations, translating regulatory complexity into decisive action and scalable workflows that protect Meta and the people who use its platforms.

Responsibilities

Investigate and resolve high-priority regulatory escalations end-to-end, including government inquiries, content regulation mandates, and cross-jurisdictional compliance incidents, ensuring timely resolution within defined SLAs Coordinate cross-functional response strategies across Legal, Policy, Communications, Engineering, and other partners on escalations carrying regulatory, reputational, or legal risk, translating complexity into clear decisions and accountable next steps Synthesize regulatory context, case findings, and risk assessments into structured executive-level communications that enable informed decision-making by leadership and cross-functional partners Identify systemic patterns across regulatory escalations and surface root cause hypotheses that inform upstream policy, product, and operational improvements Design and iterate on AI-assisted workflows, decision trees, and runbooks specific to regulatory escalation case types, reducing manual handling time and improving consistency of outcomes Critically evaluate AI-generated assessments and recommended actions on regulatory cases, documenting failure patterns and feeding structured corrections back into workflow systems Develop and maintain deep expertise in applicable regulatory frameworks, including content moderation obligations and platform accountability requirements, to support rapid and accurate decision-making Contribute to on-call coverage within a global team, maintaining readiness to respond to urgent regulatory incidents across time zones and outside standard business hours Document investigation methodologies and resolution approaches for novel regulatory case types, building institutional knowledge that scales beyond individual expertise Support peers through case reviews and real-time calibration on regulatory judgment, contributing to the team's collective capability and quality standards

Qualifications

6+ years of experience in regulatory compliance, escalations management, trust and safety, legal operations, government affairs, or a related operational field involving regulatory risk Experience managing time-sensitive, high-stakes situations with sound judgment and the ability to drive resolution with minimal supervision Experience synthesizing complex regulatory, legal, or policy information into clear written communications for varied audiences, including leadership and cross-functional partners Experience building effective working relationships and collaborating across teams with both technical and non-technical stakeholders Active, daily proficiency with AI tools - including prompt engineering, AI-assisted investigation, and workflow automation - with the ability to critically evaluate and override AI outputs Experience with structured AI evaluation practices such as prompt testing, failure mode analysis, or rubric-based quality review Track record of identifying systemic issues from individual case patterns and translating findings into actionable recommendations for policy or process improvement Familiarity with content moderation frameworks, or platform accountability requirements across multiple jurisdictions Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience designing or improving AI-assisted workflows, decision trees, or automation that measurably improved operational efficiency or outcome quality Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)