Commercial Counsel, EMEA

Job Application for Commercial Counsel, EMEA at Anthropic

Commercial Counsel, EMEA Dublin, IE

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.

Anthropic is seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA! You'll serve as a strategic legal partner to our sales teams, supporting complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments, from SMB to large enterprises. In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region.

Responsibilities:

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 policy: For this role, we expect all staff to be able to work from our Dublin 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: €165.000 - €210.000 EUR

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…