Privacy Counsel New

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

• JD from an accredited law school and active membership in at least one U.S. state bar
• 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.

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](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 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.