Enforcement Operations Lead, Cloud Partners
San Francisco, United States · On-site · Full-time
- Posted 3w ago
- From Anthropic’s careers page
- Location
- San Francisco, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Lead
- Department
- Legal and Compliance
Opens the listing on job-boards.greenhouse.io
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About the role
About the Role
Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. A large and growing share of Claude usage reaches customers through our cloud partners: Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. As the Enforcement Operations Lead for Multi-Cloud, you'll own how Anthropic detects, reviews, and acts on misuse across those surfaces, where the partner owns the customer relationship and often the data path. You'll build the operating model, partner agreements, and documentation that make enforcement on every cloud consistent, auditable, and fast.
This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams and companies to break new ground and drive work to completion. This work is deeply cross-functional. You'll partner closely with our product managers, policy experts, Safeguards engineering, Legal, and the trust & safety and operations teams across our Cloud partners to maintain a consistent and safe enforcement ecosystem.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
Key responsibilities
- Own the end to end enforcement lifecycle on partner surfaces, from detection and review through action, customer communication, and appeal
- Define enforcement paths for each partner's operating model, including how actions are requested, executed, and confirmed when the partner controls the account
- Manage SLAs for review, escalation, and action, and evaluate performance against them on an ongoing basis
- Develop and maintain SOPs and escalation guides for all enforcement workflows, ensuring consistency across clouds
- Establish red-teaming, Quality processes, and operationalize shared metrics
- Stand up paired investigations with partner threat intelligence teams, including case referrals, indicator sharing, and paging for high severity incidents
- Own enforcement metrics across partner surfaces and report them to Safeguards leadership, partners, and regulators
Minimum qualifications
- Extensive experience in trust and safety operations, enforcement, threat intelligence, or a related field
- Have managed external partner or vendor relationships where you did not control the other side's systems or priorities
- Comfortable working across policy, legal, engineering, and operations teams to translate requirements into practical workflows
- Experience building enforcement programs from the ground up, including SLAs, escalation paths, and quality measurement
- Highly organized, with a track record of maintaining rigorous documentation and SOPs in fast-moving environments
- Clear and precise communication, both in writing and verbally, across technical and non-technical audiences, including partner executives
- Energized by the challenge of building scalable systems in an environment where not everything is already figured out
- Care deeply about the responsible deployment of AI and the role enforcement operations plays in that mission
Preferred qualifications
- Direct trust & safety, abuse, or security operations experience at AWS, GCP, or Azure, or at a company that ships through their marketplaces
- Experience designing incident response or escalation processes that span more than one company
- Familiarity with data access controls, audit requirements, or privacy constrained review environments
- Experience with law enforcement referrals, regulatory reporting, or compliance programs
- Background in AI safety, content moderation, fraud, or abuse detection systems
- Comfort working with data and metrics to inform operational decisions and surface trends to leadership
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About Anthropic
AI research and safetyAnthropic researches and builds AI systems, with work spanning model development, safety, and societal impacts.
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