Drimva

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

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)