Meta
Regulatory Escalations Manager
$100K–$143K
Austin, TX +3 · Manager · Full-time · Posted Oct 6, 2026
- Location
- Austin, TX
Menlo Park, CA
Washington, DC
San Francisco, CA - Experience
- 4+ years; qualifying fields include escalation management, trust & safety, crisis response, investigations, regulatory compliance, policy, or a related operational field.
About the job
Manages Meta’s highest-priority escalations and builds AI-assisted workflows to resolve complex cases requiring expert human judgment.
What you'll do
- Investigate, coordinate, and resolve urgent escalations, including incidents involving Meta AI products.
- Design, test, and improve AI prompts, decision logic, runbooks, and human-review workflows.
- Communicate findings and decisions to leadership and partners, and drive operational improvements.
What they ask for
- 4+ years in escalation management, trust & safety, crisis response, investigations, regulatory compliance, policy, or a related operational field.
- Daily proficiency with AI tools, including prompt engineering, AI-assisted investigation, and workflow automation, with ability to critically evaluate and override outputs.
- Ability to manage high-pressure, time-sensitive situations and synthesize information into actionable insights and clear written communications.
- Experience collaborating across teams and creating scalable solutions to process inefficiencies or capability gaps.
Nice to have
- Familiarity with Meta's products, policies, and enforcement systems.
- Experience with AI evaluation, responsible AI practices, mentoring, or AI-powered workflows; background in content integrity, intellectual property, regulatory frameworks, advertiser policies, or civic/political escalations.
Pay
$100,000/year to $143,000/year USD base salary
AI focus
The role investigates AI-related escalations and designs, tests, and monitors AI-assisted workflows. It translates expert judgment into prompts, rules, and decision frameworks; evaluates AI outputs and failure patterns; and supports red-teaming and operational improvements.
Model-written summary · the original posting is authoritative