Overview
In this role you will lead and grow Anthropic’s EMEA Applied AI Architecture team to drive adoption of frontier AI across Europe’s growth-focused tech companies. You’ll ensure Claude Enterprise, Claude Code, and the Claude API meet customer needs with reliability and safety at scale. You’ll partner with Sales, Product, and Engineering to embed Claude into core products, mentor a distributed team, and communicate complex solutions to engineers and executives. This position offers a visible leadership role at the intersection of technology, customers, and strategic GTM in Europe.
Pay / Benefits
- competitive compensation
- optional equity donation matching
- generous vacation
- parennial leave
- flexible working hours
- office space in collaborative environment
Responsibilities
- Manage and mentor a distributed team of Applied AI Architects, guiding technical direction and career growth
- Set goals and conduct performance reviews to drive growth and output
- Work directly with high-value EMEA customers on AI adoption strategy (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, delivering compelling demos and validating customer ROI
- Guide customers through EMEA-specific requirements (GDPR, EU AI Act, data residency)
- Align cross-functional stakeholders across time zones to drive business outcomes
- Travel regularly within EMEA for executive sessions and workshops
- Lead vision and execution of solutions using Anthropic’s latest models for tech-forward use cases
- Represent Anthropic in the European tech community through conferences and technical content
- Stay current on AI/ML developments and competitive landscape in Europe
Key requirements
- 7+ years experience as Solutions Architect, Sales Engineer, or similar pre-sales technical role
- 3+ years experience managing pre-sales or technical GTM teams across multiple EMEA markets
- Experience selling to digital-native companies (SaaS, fintech, PaaS, developer platforms)
- Familiarity with European procurement, security reviews, DPAs, and regulatory scrutiny
- Deep technical proficiency with API integrations, production LLM use cases, and AI-powered system architecture
- Hands-on prompt engineering and LLM evaluation; knowledge of how large language models are built and operate
- Strong grasp of developer tooling, SDKs, and common integration patterns in modern software companies
- Ability to work in unstructured, fast-moving environments and build foundational teams
- Strong executive presence and ability to build trust with CTOs and engineering leaders
- Excellent communication, collaboration, and coaching skills
- Ability to clarify ambiguous problems and extract guiding principles
- Passion for safe and beneficial AI with forward-thinking, non-reliance on past playbooks
- Executive presence
- Collaborative communication
- Coaching and mentorship
- API integrations
- Production LLM use cases
- AI-powered system architecture
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