Safety & Security Counsel, EMEA

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.

As Safety & Security Counsel, EMEA, you will serve as the first-line legal advisor counseling on the full arc of keeping Claude and Anthropic safe and secure: usage policy design and enforcement frameworks, safeguards R&D, misuse detection and response, sensitive escalations, threat intelligence, security incident response, product-related safety and security matters, and the company’s safety and security-related regulatory and policy engagement. The issues are increasingly interdisciplinary and novel, and you will frequently be the one ideating and building a legally-relevant framework rather than simply applying one.

Depending on interest and experience, you will own and shape an ever-growing portfolio of issue areas across Safeguards and Security. You will also contribute to the team’s capacity building efforts, including by leveraging Claude. You will work collaboratively with other legal functions on cross-functional initiatives. This is an excellent opportunity for an experienced attorney who wants to do high-stakes, first-of-its-kind work at the center of responsible AI development and deployment, and to grow as a strategic product counsel and trusted crisis counselor in a fast-moving environment.

Key responsibilities:

• 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.

Qualifications:

• Qualification to practice law in England & Wales, or another relevant jurisdiction.
• Experience advising on fast-moving, high-stakes matters such as investigations, regulatory matters, crisis management, or enforcement work.
• Working knowledge of at least one of: trust & safety, cybersecurity, privacy, or platform regulation.
• Legal drafting and writing skills demonstrated through policies, playbooks, escalation protocols, or written guidance for non-legal audiences.
• Technical fluency sufficient to understand system architecture, data flows, and AI model behavior.
• Experience coordinating multi-stakeholder responses to time-sensitive matters and translating legal analysis into clear actionable steps for technical and executive audiences.

Preferred qualifications:

• 8+ years of relevant legal experience.
• 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.
• Experience with content moderation, platform safety (including user wellbeing issues), and crisis management.
• Facility working with very technical teams, including machine learning, safety and security research, infrastructure, and threat intelligence.
• Familiarity with AI systems and machine learning concepts, or experience advising on novel technology products.
• Strong judgment about risk assessment and decision-making under uncertainty.
• A low-ego, hands-on working style and a commitment to doing right by users and the people affected by misuse of AI systems.

For this role, we expect all staff to be in our London 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.

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.

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.

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.