Enforcement Operations Lead, Cloud Partners

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

Anthropics 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 Clouds Agent Platform and Microsoft Foundry. As the Enforcement Operations Lead for Multi-Cloud youll own how Anthropic detects reviews and acts on misuse across those surfaces where the partner owns the customer relationship and often the data path. Youll 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. Youll 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.

• 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 partners 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

• 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 sides 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

• 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

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.