Safety & Security Counsel

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.

• Partner with Safeguards (trust & safety) policy teams on the design and iteration of usage policies across harm areas (e.g., CBRNE, cyber, user wellbeing, scaled abuse and influence operations, and distillation), including how policies translate into detection and enforcement.
• Advise on policy enforcement frameworks such as account actions, appeals, enforcement systems and thresholds.
• Counsel on sensitive escalations and strategic response, including matters involving governments, law enforcement, regulators, and the press.
• Advise on safety and security threat intelligence investigations, bug bounty and red-team programs, and internal and external safety and security testing arrangements.
• Support safeguards and security engineering, ML, and data science teams on building new tooling and detection mechanisms, including as it relates to data governance and privacy related considerations.
• Serve as a first-line legal contact for safety and security incidents, providing real-time guidance during incident response and assessing notification and reporting obligations under applicable legal frameworks and contractual commitments.
• Build and maintain crisis management playbooks, escalation protocols, and self-serve legal guidance to enable legal resource scaling.
• Stay abreast of key policy and regulatory developments in AI safety and security, and policy-specific domains across relevant jurisdictions, and translate them into practical guidance for our evolving product suite.

• A JD and active membership in at least one U.S. state bar.
• Legal experience with fast-moving, high-stakes matters such as investigations, regulatory matters, crisis management, or enforcement work.
• Working knowledge of trust & safety, cybersecurity, privacy, or platform regulation, with the ability to get up to speed quickly in the areas you know less well.
• Technical fluency sufficient to understand system architecture, data flows, and AI model behavior, and the curiosity to learn new concepts fast.
• Legal writing and drafting skills sufficient to produce policy language, escalation protocols, crisis playbooks, and self-serve guidance for non-legal audiences.
• Experience coordinating multi-stakeholder responses to time-sensitive matters and translating legal analysis into clear actionable steps for technical and executive audiences.
• Strong judgment about risk assessment and decision-making under uncertainty.
• Preferred: Active membership in the California state bar.
• Preferred: 4-8+ years of relevant legal experience.
• Preferred: In-house (product counsel) experience at a technology company working on security and/or trust & safety issues, or law firm experience advising tech clients on regulatory investigations or enforcement matters.
• Preferred: Experience with content moderation, platform safety (including user wellbeing issues), or crisis management.
• Preferred: Facility working with very technical teams, including machine learning, safety and security research, infrastructure, and threat intel.
• Preferred: Familiarity with AI systems, machine learning concepts, or experience advising on novel technology products.
• Preferred: A low-ego, hands-on working style and a commitment to doing right by users and the people affected by misuse of AI systems.

• Application Deadline: 6pm PT on Friday September 11, 2026.
• Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
• Annual Salary: $265,000 — $335,000 USD.