Manager of Associate Solutions Architects

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 the Manager of Associate Solutions Architects for Claude Code at Anthropic, you will build and lead a team dedicated to accelerating developer productivity through AI-powered coding tools. You'll be responsible for scaling the adoption of Claude Code across our enterprise customer base by developing talent, establishing best practices, and ensuring your team delivers exceptional technical enablement to engineering organizations.

You'll lead a team of early-career Solutions Architects who serve as the technical bridge between Claude Code's capabilities and customer engineering teams. Your role combines hands-on technical leadership, team development, and strategic collaboration with Sales, Product, and Engineering to drive Claude Code's success in the market.

This is a foundational role where you'll establish the playbook for how Associate SAs operate, build scalable enablement programs, and create a high-performing team culture. You'll be instrumental in helping early-career technical talent grow into trusted advisors for some of the world's most innovative engineering organizations.

Responsibilities

Team Leadership & Development

• Build, manage, and mentor a team of Associate Solutions Architects, providing technical coaching and career development

• Establish onboarding programs and skill development frameworks tailored for early-career technical talent

• Set clear goals and performance expectations, conducting regular reviews that promote growth and productivity

• Create a culture of continuous learning, knowledge sharing, and technical excellence

• Partner with recruiting to scale the team and build a diverse pipeline of technical talent

Claude Code Specialization & Enablement

• Maintain deep expertise in Claude Code capabilities, integrations, developer workflows, and competitive positioning

• Develop and refine playbooks, demo scripts, technical content, and best practices for Claude Code engagements

• Establish standards for technical evaluations, proof-of-concept execution, and rollout strategies

• Build internal enablement programs to ensure team members are expert practitioners of Claude Code

• Stay current with developer tooling trends, IDE integrations, and AI-assisted development landscape

Customer Success & Pre-Sales Excellence

• Guide your team in supporting high-value customer engagements, ensuring successful technical evaluations and adoption

• Personally engage with strategic accounts where senior technical leadership is needed

• Partner with Account Executives and senior Solutions Architects to drive expansion opportunities

• Ensure your team effectively identifies and builds technical champions within customer engineering organizations

• Monitor customer success metrics and iterate on engagement strategies based on outcomes

Cross-Functional Collaboration

• Work closely with Product and Engineering teams to communicate customer feedback and influence product roadmap

• Partner with GTM leadership to align team activities with overall business objectives

• Collaborate with other SA leaders to share best practices and ensure consistent customer experience

• Contribute to thought leadership through technical content, webinars, and conference presentations

• Establish feedback loops between your team and product development to drive continuous improvement

Process & Operations

• Build scalable processes for managing customer engagements, prioritizing opportunities, and measuring impact

• Establish metrics and reporting frameworks to track team performance and customer outcomes

• Create systems for knowledge management, ensuring best practices are documented and accessible

• Drive operational excellence while maintaining the flexibility needed for a fast-growing product area

You may be a good fit if you have:

Required Experience

• 5+ years of experience in solutions architecture, sales engineering, developer relations, or similar technical customer-facing roles

• 2+ years of people management experience, ideally managing early-career technical talent

• Deep hands-on expertise with Claude Code or similar AI coding assistants

• Strong software engineering background with experience across multiple programming languages and development environments

• Experience with technical sales cycles, customer discovery, proof-of-concept execution, and driving adoption

Technical Skills

• Expertise in modern software development workflows, toolchains, CI/CD, and developer productivity

• Understanding of IDE integrations, code generation tools, and developer experience optimization

• Familiarity with large language models, prompt engineering, and AI-powered developer tools

• Ability to architect technical solutions and guide complex integrations

• Comfort with debugging, troubleshooting, and solving technical challenges in real-time

Leadership & Communication

• Strong coaching and mentorship abilities with track record of developing technical talent

• Excellent communication skills with ability to explain complex concepts to both technical and non-technical audiences

• Experience building processes and best practices in relatively unstructured environments

• Comfortable operating in ambiguous, fast-moving environments with shifting priorities

• Executive presence with ability to represent Anthropic at customer executive meetings

Mindset & Values

• Passion for developer productivity and the transformative potential of AI in software development

• Growth mindset with eagerness to learn and adapt alongside rapidly evolving technology

• Commitment to making powerful AI technology safe and beneficial for developers and organizations

• Collaborative approach with strong cross-functional partnership skills

• Data-driven decision making balanced with qualitative customer insights

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:
$270,000—$270,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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