Associate Solutions Architect

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.

We're looking for an Associate Solutions Architect to join our Applied AI team and help drive the adoption of Claude Code across our enterprise customers. As an Associate SA specializing in Claude Code, you'll be the technical bridge between our cutting-edge AI coding assistant and the engineering teams who can transform their productivity with it.

You'll partner closely with Account Executives to demonstrate Claude Code's capabilities, guide technical evaluations, and help engineering organizations successfully deploy and scale Claude Code across their development workflows. This is an opportunity to work with some of the world's most innovative companies that leverage AI to accelerate software development.

Drive Claude Code Adoption

• Lead technical workshops on Claude Code for engineering teams and identify expansion opportunities for Claude Code with non-technical teams

• Guide customers through proof-of-concept implementations and technical evaluations

• Develop workflows and configurations tailored to customer development environments

• Focus on growing developer productivity for our existing customers using Claude Code

Technical Customer Engagement

• Conduct discovery calls to understand customer development workflows and pain points

• Run technical pilots that showcase Claude Code's impact on engineering velocity

• Provide hands-on support during customer evaluations and rollout phases

• Build technical champions within customer engineering organizations

Product Expertise & Enablement

• Maintain deep expertise in Claude Code capabilities, integrations, and best practices

• Create demo environments, scripts, and technical content for customer engagements

• Provide product feedback to engineering teams based on customer interactions

• Stay current on competitive landscape and differentiation strategies

Cross-Functional Collaboration

• Partner with primary Solution Architects and Product Engineers on technical aspects of sales cycles and collaborate on post-deployment expansion opportunities

• Work with Solution Architects and Product Engineers on complex technical requirements

• Contribute to internal knowledge sharing and best practices

• 2+ years of software engineering or solutions architecture experience

• Daily active use of Claude Code with deep hands-on expertise

• 1+ years of customer-facing technical experience (sales, support, consulting, or similar)

• Strong understanding of software development workflows, toolchains, and developer productivity

• Experience with various programming languages, IDEs, and development environments

• Comfort presenting technical concepts and adapting your communication style for different technical audiences

• Experience gathering requirements and translating them into technical solutions

• Genuine enthusiasm for AI-powered development tools and their potential impact

• Strong problem-solving skills with ability to debug and troubleshoot technical issues

• Self-motivation with ability to manage multiple customer engagements simultaneously

• Growth mindset with eagerness to learn and adapt in a fast-paced environment

Deadline to apply: None. Applications will be reviewed on a rolling basis. 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.

£115,000—£115,000 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.