Manager, Solutions Architecture (Digital Native Business)
Manage and mentor a team of Solutions Architects, drive AI adoption, and drive collaboration with cross-functional teams.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
About the role:
As the manager of the Digital Native, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Enterprise Tech companies and digital-first organizations.
Responsibilities:
- Manage and mentor a team of Applied AI, Solutions Architects, providing both technical guidance and career development
- Set goals and reviews for your team, promoting growth and output
- Work with a handful of highest-value Digital Native enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
- Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Digital Native enterprise customers
- Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
- Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
- Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships
- Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
- Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases
- Contribute to thought leadership through conference presentations, webinars, and technical content creation
- Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector
You may be a good fit if you have:
- 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
- 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
- Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
- Experience with the unique technical requirements and technical procurement process of enterprise tech companies
- Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
- Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
- Have excellent communication, collaboration, and coaching abilities
- Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
- Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
- Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
- Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
- Make ambiguous problems clear and identify core principles that can translate across scenarios
- Have a passion for making powerful technology safe and societally beneficial
- Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
- Stay up-to-date and informed by taking an active interest in emerging research and industry trends
- Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$270,000—$345,000 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.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.