Customer Success Manager, Beneficial Deployments EMEA

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 Join Anthropic as an EMEA-based Customer Success Manager supporting our Beneficial Deployments team's work with nonprofits. You'll be a strategic partner and trusted advisor to mission-driven organizations across EMEA, spanning a range of impact areas. Your focus is driving activation, adoption, and value of Claude across Claude for Enterprise, Claude Code, and the API. That means helping these organizations evolve how they work internally, and guiding them as they evolve how they serve their missions and constituents with AI. You'll work as a pod with your Account Executive and Applied AI counterpart. Within the pod, you'll decide what level of engagement each customer most needs and either personally deliver it or connect the customer to resources that serve their needs. CS-led engagements range from high-touch 1:1 partnerships to one-to-many cohort engagements, with the latitude to design other approaches where they serve customers better. As one of our early Customer Success Managers in EMEA, you'll be a pioneer: helping to build regional processes, establish new customer relationships, and represent Anthropic's brand in a high-growth market. You'll operate with significant autonomy while staying closely aligned with global teams, which calls for someone who thrives in ambiguous environments and works effectively across time zones. The insights you gather from these partnerships will directly inform our research priorities, product development, and strategies for beneficial AI deployment. As the voice of the customer, you'll help shape how we build and deliver AI systems that amplify social good. Key responsibilities • Work as a pod with your Account Executive and Applied AI counterpart, building shared territory and success plans • Drive activation and adoption across your portfolio, using your judgment to match the engagement model to what each customer most needs • Use your knowledge of each customer and of regional nuances to plan usage proactively, understanding current and future consumption and adoption and how they create realized value for the customer • Build trusting relationships with nonprofit leaders, program teams, and IT staff to understand their mission, goals, and capacity • Guide customers in evolving how they work internally, with change management suited to mission-driven cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects capacity constraints • Help customers evolve how they serve their missions and constituents with AI, identifying high-impact use cases across program delivery, research, fundraising, and operations • Become an expert in Anthropic's products across the API, Claude for Enterprise, and Claude Code, guiding customers to the right solutions and keeping them current on what's new • Document and quantify value realized through social impact outcomes, program effectiveness, cost savings, and mission amplification, and share it in regular impact reviews that build the case for continued investment • Build the repeatable playbooks, enablement resources, and regional processes that scale across the EMEA portfolio, and bring customer insights back to Product and Research You may be a good fit if you have • 5+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architecture, or similar), ideally supporting mission-driven organizations such as nonprofits, foundations, educational institutions, or government agencies • Experience working as part of an account team alongside sales and technical counterparts • Experience managing high-touch strategic accounts and designing one-to-many programs (cohorts, webinars, user communities, or similar), with the judgment to know which a customer needs • A track record of driving activation and adoption of new technology, including change management in organizations with limited technical capacity • Experience driving success across both consumption-based and seat-based business models • Technical fluency with AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences from frontline staff to executive leadership • A strategic mindset to identify opportunities for expanded social impact and turn them into actionable plans • Comfort operating with significant autonomy in an early-stage regional team, and working effectively with global colleagues across time zones • Passion for both AI and social impact work, with strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society • A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality • (Bonus) Fluency in French, German, Spanish, or Italian 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 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.