Manager, Applied AI Architects - Digital Natives, EMEA

Userc Dehradun; Greater London; Hybrid; GBP 150,000 - 190,000; Full time

Job summary

Anthropic in London seeks a Manager of the EMEA Digital Natives Applied AI Architecture team. Lead a distributed group, guiding pre‑sales strategy, customer adoption, and technical demos for Claude Enterprise and related products.

You will mentor architects, shape segment strategy, and collaborate with Sales, Product, and Engineering to embed Claude into core platforms while addressing GDPR and data residency requirements across Europe.

Qualifications

• 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.

Responsibilities

• Manage 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

Skills

Solutions Architect

Pre-sales Mgmt

SaaS sales

EU procurement

API integrations

LLM use cases

AI architecture

Prompt engineering

Job description

Manager, Applied AI Architects - Digital Natives, EMEA

Location London

Job type Not specified

Region UK

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

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.

Responsibilities

• Manage 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

You may be a good fit if you have

• 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.

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.

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.