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 the leader of Applied AI for Startups across EMEA, you will lead Applied AI Architects and Applied AI Engineers to build technical mindshare around Anthropic’s products among early-stage adopters across EMEA: from London to Berlin, Paris to Tel Aviv, and beyond. You’ll work with the fastest-growing AI-focused startups in the region, driving adoption of frontier AI through bespoke LLM solutions. You’ll build and grow a cross-functional technical team, establish best practices for startup engagements, and represent Anthropic as a technical leader across the region.
In collaboration with Sales, Product, and Engineering, you’ll help startups incorporate AI into their products and platforms. A core part of this role is building Anthropic’s technical brand across the EMEA startup ecosystem through hands-on engagements, workshops, developer content, and strategic partnerships with accelerators and VCs.
Responsibilities:- Build, hire, lead, and mentor a team of Applied AI Architects and Applied AI Engineers supporting EMEA Startups
- Partner with EMEA GTM leadership and Sales to build market-specific strategies that drive adoption and technical mindshare among startups
- Engage hands-on with highest-value EMEA startups on advanced LLM integration, deployment, and adoption
- Travel regularly across EMEA for customer workshops, ecosystem events, accelerator demo days, and conferences
- Build technical mindshare among early-adopter startups through developer workshops, technical content, hackathons, and community programmes
- Build relationships with VCs, accelerators, and incubators to position Anthropic as the platform of choice for emerging companies
- Surface product feedback and market intelligence from EMEA startup engagements back to Product and Engineering
- 7+ years of experience as a Forward Deployed Engineer, Customer Engineer, Sales Engineer, Applied AI Architect, or Applied AI Engineer
- Minimum 5+ years of management experience (ideally 7+) leading hands-on, technical, customer-facing teams, with a track record of hiring and scaling teams rapidly
- Experience building AI-native products and working with AI-native startups, ideally across multiple EMEA markets
- Enjoy building distributed teams across geographies in unstructured environments
- Strong executive presence and ability to build deep relationships across diverse cultural contexts
- Familiarity with the architecture and operation of large language models
- Passion for making powerful technology safe and societally beneficial
- Willingness to travel frequently across EMEA (estimated 30–40% travel)
- Second-line management experience across different technical functions (e.g., managing both Applied AI Architecture and Engineering leads)
- Founder or early-stage startup/scaleup experience: you understand the pace, constraints, and mindset of the companies you’ll be serving
- Experience operating across multiple EMEA markets with understanding of regional startup ecosystems and go-to-market dynamics
- Proficiency in one or more additional EMEA languages (e.g., French, German, Spanish, Italian, Swedish, Hebrew)
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.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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
