Manager, Applied AI Architects - Digital Natives, EMEA
- Salary
- £190,000 - £230,000
- Level
- Lead
- Work type
- Not stated
- Visa
- Sponsors visas
Open. First seen 16 October 2026.
The team: Applied AI HIRES STEADILY
This role is one of 56 open in Applied AI. 29 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (53 of 56), Machine Learning (26 of 56), Python (26 of 56), Generative AI (7 of 56), Prompt Engineering (7 of 56), TypeScript (6 of 56), AWS (5 of 56)
OTHER ROLES ON THIS TEAM
- Applied AI Architect, Security Specialist posted Oct 16
- Applied AI Engineer, Startups (Physical AI) posted Oct 15
- Applied AI Engineer, Startups (Life Sciences) posted Oct 15
- Staff Forward Deployed Engineer posted Oct 14
- Applied AI Engineer, Beneficial Deployments (Lab Automation) posted Oct 13
- Manager, Applied AI Architect posted Oct 13
- Applied AI Architect, Partnerships posted Oct 8
- Applied AI Architect posted Oct 8
- Manager of Applied AI Architecture, Startups posted Oct 7
- Applied AI Architect, Beneficial Deployments (Life Sciences Community & Enablement) posted Oct 7
- Manager, Applied AI Architecture, Enterprise Tech posted Oct 7
- Applied AI Engineer, Public Sector posted Oct 7
- Applied AI Engineer, Beneficial Deployments (Clinical Development, Rare and Neglected Diseases) posted Oct 6
- Manager, Applied AI Engineering (Megas) posted Oct 5
- Applied AI Architect, International Policy posted Sep 30
- Applied AI Architects, Partner posted Sep 30
- Field Executive Architect posted Sep 29
- Applied AI Architects, Partner posted Sep 29
- Applied AI Engineer, Beneficial Deployments (Life Sciences) posted Sep 29
- Applied AI Engineer, Enterprise posted Sep 28
- Applied AI Engineer, DNB posted Sep 28
- [London] Applied AI Architect, Partnerships posted Sep 28
- Applied AI Architect, Public Sector posted Sep 23
- Applied AI Engineer, Startups posted Sep 23
- Applied AI Architect, Startups posted Sep 23
- Manager, Applied AI Architect posted Sep 22
- Applied AI Architect posted Sep 21
- Applied AI Architect, Partnerships posted Sep 17
- Applied AI Architect, Partnerships posted Sep 15
- Forward Deployed Engineer posted Sep 14
- Applied AI, Research Engineer posted Sep 4
- Manager, Technical Deployment (Financial Services) posted Sep 4
- Applied AI Architect, Startups posted Aug 28
- Applied AI Architect, Strategic Enterprise Tech posted Aug 27
- Applied AI Architect, Industries posted Aug 26
- Manager Applied AI Architecture, Financial Services posted Aug 21
- Manager Applied AI Architecture, Healthcare & Life Sciences posted Aug 21
- Manager of Applied AI Architecture, Commercial posted Aug 20
- Applied AI Architect posted Aug 20
- Applied AI Engineer, Enterprise posted Aug 19
- Applied AI Architect, Industries posted Aug 19
- Technical Deployment Lead posted Aug 19
- Applied AI Engineer posted Aug 19
- Forward Deployed Engineer posted Aug 17
- Applied AI Architect, Industries posted Aug 17
- Manager, Forward Deployed Engineering posted Aug 13
- Applied AI Architect, Enterprise Tech posted Aug 7
- Applied AI Architect, Partnerships posted Jul 7
- Applied AI Architect, Digital Natives Business posted May 21
- Applied AI Architect, Commercial posted Apr 17
- Manager, Forward Deployed Engineering posted Feb 5
- Applied AI Architect posted Jan 23
- Applied AI Engineer, Enterprise Tech posted Jan 8
- Technical Deployment Lead posted Dec 4
- Applied AI Architect, Industries posted Dec 20
From the team and dates on Anthropic's own job board.
About the role
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.
Annual Salary:
£190,000—£230,000 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.
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