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About the Role
As an Associate Solutions Architect specializing in Claude Code, you will serve as the technical liaison between our AI coding assistant and enterprise customer engineering teams. You will partner with Account Executives to showcase Claude Code's capabilities, guide technical evaluations, and assist organizations in deploying and scaling Claude Code within their development workflows, enabling them to accelerate software development.
Responsibilities
- Lead technical workshops on Claude Code for engineering teams and identify expansion opportunities.
- 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 existing customers using Claude Code.
- 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.
- 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.
- 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.
Requirements
- 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 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.
Skills
- Claude Code
- AI coding assistant
- Technical demonstrations
- Technical evaluations
- Deployment and scaling
- Software development workflows
- Programming languages
- IDEs
- Development environments
- Technical presentations
- Requirements gathering
- Problem-solving
- Debugging
- Troubleshooting
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- Associate
Education Level
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Salary/Compensations
- £1—£1 GBP
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
- The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders.
- Anthropic is a public benefit corporation headquartered in San Francisco.
- The company believes that high-impact AI research is big science, working as a single cohesive team on large-scale research efforts.
- Anthropic values impact and advancing long-term goals of steerable, trustworthy AI.
- AI research is viewed as an empirical science.
- The company is a collaborative group that hosts frequent research discussions.
- Research directions include GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Equal Opportunity
- 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.
- 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, which makes representation even more important.
- We strive to include a range of diverse perspectives on our team.