Product Counsel

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 Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care.

Key responsibilities

Minimum qualifications

• Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch
• Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward
• Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules
• Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness
• Draft and review user-facing terms, disclosures, in-product copy and marketing claims
• Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners
• Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones
• Pick up new areas as priorities shift, and help with incidents and escalations when they come up
• 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
• At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products
• Experience advising business or product teams directly, not only other lawyers
• Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries
• Curiosity about how AI products work, and the ability to pick up technical concepts quickly
• A habit of making a clear recommendation, even with incomplete information
• Comfort moving between assignments as priorities change, with no job too big or too small
• Clear, concise writing that non-lawyers can act on
• Openness to feedback and a track record of improving quickly
• Experience using AI tools in your legal work, or a strong interest in learning to do so
• Empathy and a service orientation, with a real commitment to Anthropic's mission

Application Deadline: 6pm PT on Friday November 13, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.

Role-specific policy: 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.

• In-house product counsel experience, or a secondment with a product team
• Experience with subscription businesses, promotions, or consumer billing
• Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services

$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 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.