Location
Job description
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. Responsibilities
You might be a good fit if you have:
Strong candidates may have:
Role‑specific policyStaff must be able to work from our London 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. CompensationThe 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. LogisticsMinimum 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. BenefitsAnthropic 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. Inclusivity StatementWe 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.#J-18808-Ljbffr
- Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts
- Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
- Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
- Identify and escalate legal risks appropriately while supporting business momentum
- Stay current on legal developments affecting AI technologies
- Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region
You might be a good fit if you have:
- Law degree and qualification to practice law in a relevant EMEA jurisdiction
- At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
- Clear communication skills and comfort translating legal concepts for non‑lawyer audiences
- A low‑ego, collaborative approach to working with colleagues and external partners
- Curiosity about AI technology, AI Policy, and commitment to responsible AI development
- Experience navigating multi‑stakeholder agreements involving technical and policy considerations
- Comfort in fast‑paced environments with shifting priorities and tight deadlines
- A "doer" attitude—willingness to roll up your sleeves and pitch in where needed
Strong candidates may have:
- In‑house experience at leading technology companies with EMEA operations
- Previous experience with AI, machine learning, or other experimental technologies in commercial contexts
- Experience supporting sales teams across diverse client segments in deal negotiations
Role‑specific policyStaff must be able to work from our London 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. CompensationThe 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. LogisticsMinimum 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. BenefitsAnthropic 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. Inclusivity StatementWe 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.#J-18808-Ljbffr
