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Anthropic seeks an experienced Safety & Security Counsel to be the first‑line legal advisor on Claude and the company’s safety program. You’ll shape policy, detection, enforcement, and incident response, working across safeguards, security, product, and policy teams.
In‑house or firm background with tech, regulatory matters, and crisis management is ideal, with a focus on translating complex issues into practical guidance for executives and engineers in a fast‑moving AI environment.
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, 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.
6pm PT on Friday September 11, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.
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.
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.
$265,000—$335,000 USD
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
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.
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.
Learn about our policy for using AI in our application process.
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.
We believe 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.