Privacy Counsel

Anthropic · Legal

支持签证Anthropic H-1B 获批 76 次 (FY2025)英国签证担保名单$265k–$335k/年San Francisco, CA | New York City, NY发布 2026-09-21
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Visa sponsorship:  We do sponsor visas!

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职位描述 Job description

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 is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program.

You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product.

Key responsibilities

Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking

Translate complex technical architecture into clear, actionable risk advice

Deliver integrated guidance on safety, security and data protection

Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies

Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms

Lead privacy diligence on mergers and acquisitions, and support corporate governance

Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position

Minimum qualifications

Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based

Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection

Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements

Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC

Ability to read and engage with technical documentation, such as system designs and architecture diagrams

Excellent legal writing, including clear, concise advice

Preferred qualifications

At least 8 years of privacy and data protection legal experience

Deep familiarity with software and model development and architecture

Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business

Direct engagement with privacy regulators, including providing briefings and responding to inquiries

Privacy and data protection work on mergers, acquisitions, and similar transactions

Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions

Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York 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.

Annual Salary:

$265,000 — $335,000 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.

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 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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings.

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 t

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