Manager Applied AI Architecture, Healthcare & Life Sciences
$10k - $50k • New York City, NY; San Francisco, CA | New York City, NY
Posted 2d ago
About the job
As the manager of the Healthcare and Life Sciences Solutions Architect team within Applied AI at Anthropic, you will lead the adoption of frontier AI in partnership with the go-to-market organization. You will guide a pre-sales team that collaborates with account executives to help healthcare and life sciences companies understand and deploy Anthropic's products, including Claude Code, Cowork, Claude Science, and the Claude Development Platform (API). This involves leveraging technical skills and consultative sales experience to hire talent, establish scalable processes, and represent Anthropic in strategic customer engagements.
Responsibilities
- Hire, manage, and guide a team of pre-sales Solutions Architects, providing technical guidance and career development.
- Set team performance goals in collaboration with sales and cross-functional teams.
- Act as a technical sponsor for high-value strategic customers, advising on AI adoption strategies and use case scoping.
- Partner with sales leadership to develop strategies for driving product adoption within specific verticals.
- Collaborate with product and engineering teams to prioritize customer feedback and resolve adoption blockers.
- Travel to customer sites or conferences for executive sessions, technical workshops, and relationship building.
- Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products.
- Contribute to thought leadership through conference presentations, webinars, and technical content creation.
- Stay current with emerging AI trends and the evolving ecosystem.
Requirements
- 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.
- 3+ years of technical pre-sales management experience.
- Experience selling complex technical products to Healthcare and Life Sciences companies.
- Deep technical proficiency with enterprise AI use cases, API integrations, or enterprise solution rollouts.
- Understanding of go-to-market organizations anchored on a consumption business model.
- Experience building and scaling teams and processes in ambiguous, fast-moving environments.
- Excellent communication, collaboration, and coaching abilities.
- Strong executive presence and ability to foster relationships with technical leaders.
- High-level familiarity with the architecture and operation of LLMs.
- Passion for making powerful technology safe and societally beneficial.
- Active interest in emerging AI research and industry trends.