Enforcement Operations Lead, Cloud Partners

About Anthropic Anthropic’s 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. 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 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s 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 aren't 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. 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 you're interested in this work. We think AI systems like the ones we're 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. How we're different 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. We're 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. Come work with us! 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 about our policy for using AI in our application process. #J-18808-Ljbffr Precision Labs