Commercial Counsel, EMEA - Sponsorship Available

About the hiring employer the hiring employer’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 the hiring employer 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. Key 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 Minimum Qualifications Law degree and qualification to practice law in a relevant EMEA jurisdiction Experience drafting, reviewing, and negotiating commercial agreements, such as enterprise customer contracts or SaaS agreements Strong legal writing skills, with the ability to translate legal concepts for non-lawyer audiences Preferred Qualifications Exposure to commercial contracts, SaaS agreements, or technology transactions In-house experience at leading technology companies with EMEA operations Experience with AI, machine learning, or other experimental technologies in commercial contexts Experience supporting sales teams across diverse client segments in deal negotiations Experience navigating multi-stakeholder agreements involving technical and policy considerations Curiosity about AI technology and AI policy, and a commitment to responsible AI development A collaborative, low-ego approach and a willingness to roll up your sleeves and pitch in where needed Comfort working in fast-paced environments with shifting priorities 4+ years of legal experience Role-specific policy: For this role, we expect all staff to 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. 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: £125,000 — £165,000 GBP 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 the hiring employer recruiters only contact you from @the hiring employer.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the hiring employer. Be cautious of emails from other domains. Legitimate the hiring employer 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 the hiring employer.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. 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 the hiring employer, 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! the hiring employer 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.