监管升级经理

Drive Meta's highest-priority escalations to resolution: from initial triage through investigation, cross-functional coordination, and final resolution, ensuring that time-sensitive cases are mitigated within SLA and with minimal business or reputational impact

Conduct rigorous, multi-system investigations: connect signals across surfaces and stakeholders on complex or novel case types (LLM hallucinations, AI agent misbehavior, deepfake/synthetic media, cross-platform integrity failures), producing root cause analysis and documentation that prevents recurrence

Coordinate across Policy, Legal, Engineering, Sales, Communications, Leadership, and other external-facing networks: drive aligned response strategies on cases carrying reputational, legal, or business risk, translating complexity into clear decisions and accountable next steps

Synthesize and deliver executive-level communications: leverage AI to ensure accurate, actionable situational awareness reaches leadership and partners when it matters

Exercise judgment on unprecedented situations: make high-stakes calls and set a precedent for continuous improvement

Work on-call shifts within a global team: maintain 24/7 readiness and operate effectively across time zones, delivering consistent quality and decision-making across shifting priorities and time-sensitive situations

Contribute to workflow performance in your domain: support end-to-end quality across human-in-the-loop and human-on-the-loop deployments, identifying when intervention is needed and flagging issues that affect automated outputs

Translate expert human judgment into encodable logic: convert tacit domain knowledge (policy interpretation, contextual reasoning, edge case intuition) into explicit rules, prompts, and decision frameworks that AI systems can execute

Lead or contribute to sprints and pods that transform operations: drive measurable improvements in efficiency, effectiveness, and performance outcomes

Design and iterate on AI-assisted workflows (prompts, decision trees, runbooks, automations): increase team throughput, measured by reduced handling time, enhanced outcomes, or eliminated manual steps for recurring case patterns

Support peer development on judgment, AI tool mastery, and escalation calibration: share expertise through case reviews and real-time modeling, contributing to the team's collective capability

Conduct case quality reviews: identify patterns in errors and AI failures; implement corrections that raise the bar for the team

Critically evaluate AI-generated assessments, investigation outputs, and recommended actions: correct and document failure patterns, feed structured improvements back into the system so accuracy improves over time

Identify when regulatory, policy, or operational context changes require capability updates: proactively flag when existing automation rules, prompts, or decision logic have become stale due to external shifts, ensuring that systems reflect the current reality

Provide structured feedback on AI launches: deliver actionable recommendations for improvement based on operational experience

Design escalation logic, runbooks, and decision trees for AI systems: define how AI handles edge cases and when it routes to humans

Create and maintain AI prompts, playbooks, and evaluation rubrics: build the tooling layer that governs AI performance in your domain

Test and validate new AI capabilities before deployment: ensure the quality and reliability before workflows go live

Design AI skills and capabilities to check and co-pilot human work: build manual and human-in-the-loop quality mechanisms into operational processes

Develop and maintain deep domain expertise: stay current on evolving threats, platform dynamics, and policy or legal landscape to inform rapid decision making

Surface emerging patterns, systemic issues, and root cause hypotheses: translate operational observations into strategic signals that drive action upstream

Monitor workflow health and flag performance drift: track whether automated systems in your domain continue to produce correct outcomes over time, surfacing degradation signals before errors compound

Document investigation methodologies and resolution approaches for novel case types: build institutional knowledge that scales beyond individual expertise

Contribute to demand signal and operational improvement: identify volume drivers, capability gaps, and process inefficiencies that inform roadmap priorities

Own investigation and resolution of escalations involving Meta's AI products, including LLM outputs, AI agents, and AI-generated content

Develop expertise in AI system failure modes: build pattern recognition for how and why AI systems produce harmful, inaccurate, or policy-violating outputs

Partner with cross-functional teams on AI-specific escalation protocols and intervention capabilities: shape how the company detects and responds to AI-driven incidents

Participate in AI red-teaming and stress testing exercises: build intuition for AI failure cases and contribute findings that strengthen guardrails

4+ years in escalation management, trust & safety, crisis response, investigations, regulatory compliance, policy, or a related operational field

Demonstrated ability to manage and resolve high-pressure, time-sensitive situations with sound judgment and minimal supervision

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 synthesizing large volumes of qualitative and quantitative information into actionable insights (e.g., root cause analyses, trend reports, or executive summaries)

Clear, structured written communication — able to produce executive-level briefs, case reports, and stakeholder updates (leveraging AI for drafting where appropriate)

Experience building effective relationships and collaborating across teams with technical and non-technical partners

Experience identifying process inefficiencies or capability gaps and creating scalable solutions (e.g., new workflows, tools, or runbooks)

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

Experience with structured AI evaluation (red-teaming, prompt testing, rubric design, failure mode analysis)

Experience leading or mentoring others; ability to drive team-level accountability for an outcome

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

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

Background in one or more of: content integrity, intellectual property, regulatory frameworks, advertiser policies, or civic/political escalations

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

Track record of building AI-powered workflows, agents, or automations that measurably improved team output or efficiency

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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4+ years in escalation management, trust & safety, crisis response, investigations, regulatory compliance, policy, or a related operational field.

Demonstrated ability to manage and resolve high-pressure, time-sensitive situations with sound judgment and minimal supervision.