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
As Product Counsel for the Claude Platform, you will be the dedicated legal partner for Anthropic's Developer Platform and API, the Model Context Protocol and developer ecosystem, the Agent API and Managed Agents, third-party cloud distribution (such as Amazon Bedrock and Google Vertex), tiered-access and trust-and-safety programs, identity verification, and Skills marketplace licensing. You will tackle novel legal questions at the intersection of developer tooling, enterprise readiness, and cloud-partner distribution, and help establish the terms, policies, and frameworks that let developers build safely on Claude.
Responsibilities:
- Partner with Platform PM, API Engineering, Cloud Partnerships, and Commercial Legal to provide pragmatic legal guidance across the API, developer ecosystem, and cloud-distribution product lifecycle
- Develop and maintain expertise in legal frameworks relevant to developer platforms and cloud distribution, including data-processing and privacy obligations, tech-transactions and licensing, API terms of service, and emerging AI-specific legislation
- Draft and negotiate developer-facing terms (API ToS, acceptable-use policies, developer agreements), cloud-partner distribution terms, and enterprise order-form exhibits, collaborating with Commercial Legal on co-sell mechanics
- Advise on API product features, tiered-access programs (TAP/ZDR), KYC/IDV requirements, and Cowork enterprise-readiness initiatives, balancing velocity with legal and contractual compliance
- Support incident response and escalations related to API misuse, developer policy violations, and cloud-partner compliance issues
You may be a good fit if you have:
- A JD from an accredited law school and active membership in at least one U.S. state bar
- At least 8 years of relevant legal experience, with meaningful experience in API/platform, cloud-marketplace, or tech-transactions work, either in-house at a technology company or at a law firm with a strong technology practice
- Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, such as data-processing agreements, API/developer terms, cloud-distribution licensing, and emerging AI governance frameworks
- Strong technical fluency across cloud computing, APIs, and software development, with ability to quickly grasp AI/ML infrastructure concepts
- Experience thriving in fast-paced environments, with comfort navigating ambiguity and pivoting quickly as priorities shift
- A proactive "doer" mindset with ability to identify problems, propose solutions, and execute with minimal supervision
- Used AI tools to scale your legal practice or a strong interest in learning to do so
- Exceptional communication skills to translate complex legal concepts for non-lawyer audiences
- Empathy and strong service orientation, with the ability to listen actively and help achieve organizational goals
Strong candidates may have:
- In-house platform or API counsel experience at a cloud/SaaS company
- Experience structuring developer terms, marketplace licensing, or enterprise data-processing agreements
- Experience with cloud-marketplace distribution (e.g., AWS Marketplace / Bedrock, GCP / Vertex, Azure) or developer-platform go-to-market, including order-form mechanics and co-sell structures
Application Deadline: 4pm PT on May 4, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. 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 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.
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.
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
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