What we're looking for

• You build. You've shipped real software, you've used Claude Code or comparable AI coding tools yourself, and you can stand behind your engineering choices.
• You hold the room. You're at ease being the technical voice in front of senior developers, IT and security leaders, and non-technical stakeholders (often in the same hour), and you stay calm and useful when something breaks live.
• You like the messy middle. You’re comfortable being pulled into an ambiguous customer situation and developing a solution in real time.
• You're service-oriented. Helping a colleague or a customer get unstuck is the part of the day you look forward to.
• You can travel. Expect regular on-site time with customers.
• You think about responsible use. You've built with LLMs hands-on and you have an instinct for how they should be used responsibly and effectively inside organizations of all shapes and sizes.

What you'll learn

• How Claude is served. We'll teach you the service delivery side of Anthropic - how inference runs behind the API and Claude Code, and what drives capacity, latency, and reliability - so you can walk a customer's engineering and security teams through it at whatever depth the conversation and our agreements allow.

Nice to have

• Hands-on depth with enterprise identity (SAML, OIDC, SCIM) across major IdPs (Okta, Entra ID, Ping, Google Workspace, etc.) and with security review processes (SOC 2, ISO 27001, HIPAA, FedRAMP).
• Experience running on or supporting Bedrock / Vertex / multi-cloud LLM deployments.
• Experience with regulated customers (financial services, healthcare, public sector) and delivering alongside SI/GSI partners.
• A track record of public technical communication: YouTube, TikTok, Instagram, blogs, in-person talks, workshops, courses, writing, seminars.
• Time spent in a pre-sales solutions, post-sales, support, implementation, or technical account role.

Annual Salary:

£180,000—£225,000 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.