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.
As Manager of the EMEA Digital Natives Applied AI Architecture team, you'll drive adoption of frontier AI across Europe's fastest-growing technology companies: SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. Your team makes Anthropic's products (Claude Enterprise, Claude Code, and the Claude API) successful in production. They address each customer's business needs and technical requirements, and they meet the high bar for reliability and safety that these companies' own users expect.
You'll lead and grow a team of Applied AI Architects across EMEA. You'll set the pre-sales standards for the segment, develop each person on the team, and act as a technical lead on some of Anthropic's most strategic European accounts. You'll work closely with Sales, Product, and Engineering to help digital-native companies build Claude into their core products and platforms. You'll also explain complex solutions clearly to both engineers and executives.
ResponsibilitiesManage and mentor a distributed team of Applied AI Architects, providing technical guidance and career development
Set goals and run performance reviews that drive growth and output
Work directly with a small number of the highest-value EMEA digital-native customers on their AI adoption strategy, including:
use case scoping
building technical champions
running POCs
Partner with EMEA GTM leadership to understand customer requirements and co-build segment strategy
Own the technical side of pre-sales, making sure your team delivers compelling demos and validates customer ROI
Guide customers through EMEA-specific technical and procurement requirements, including GDPR, the EU AI Act, and data residency
Align cross-functional stakeholders across time zones and regions to drive business outcomes
Travel regularly across EMEA for executive sessions, technical workshops, and relationship building
Lead the vision and execution of solutions that use our latest models for tech-forward use cases
Represent Anthropic in the European tech community through conferences, meetups, webinars, and technical content
Stay current on AI/ML developments and the competitive landscape in the European tech sector
7+ years of experience as a Solutions Architect, Sales Engineer, or in a similar pre-sales technical role
3+ years of experience managing pre-sales or technical GTM teams, ideally across multiple EMEA markets
Experience selling to and working with digital-native companies, such as vertical or horizontal SaaS, consumer tech, fintech, PaaS, or developer platforms
Familiarity with how European tech companies evaluate and procure technology, including security reviews, DPAs, and regulatory scrutiny
Deep technical proficiency with API integrations, production LLM use cases, and AI-powered system architecture
Hands-on experience with prompt engineering and LLM evaluation, plus working knowledge of how large language models are built and operate
A strong grasp of developer tooling, SDKs, and the integration patterns common in modern software companies
Enjoyment of building foundational teams in unstructured, fast-moving environments
Strong executive presence and the ability to build deep trust with CTOs, engineering leaders, and technical founders
Excellent communication, collaboration, and coaching skills
The ability to make ambiguous problems clear and find principles that carry across scenarios
A passion for making powerful technology safe and beneficial, with a habit of thinking beyond past checklists and playbooks
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.
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.
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.
