Privacy Counsel
Anthropic is hiring a Privacy Counsel in San Francisco and New York, United States. It pays $265k-$335k a year and Level rates it ; you can apply on Anthropic.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Anthropic mentions visa sponsorship in this posting.
- Tools and skills the posting cites include AI safety, AI research and privacy law.
- Level classifies it as a senior role.
- Level lists 676 other open roles at Anthropic.
AI in this role
Provide legal counsel on privacy, data protection, and complex commercial agreements for frontier AI development.
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 USDLogistics
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 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.
How we rate this
Privacy Counsel at Anthropic rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where privacy law was part of your work. What did you do?
- Tell me about a project where data protection was part of your work. What did you do?
- Tell me about a project where commercial negotiation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Safety, AI Research, Privacy Law, Data Protection, and Commercial Negotiation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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