Manager of Applied AI Architecture, Enterprise Tech at Anthropic

Hybrid - San Francisco, CA | New York City, NY

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As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go‑to‑market organization. You will lead and grow a pre‑sales team that partners with account executives to help companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This role requires technical skills, consultative sales experience, and the ability to hire great people, establish scalable processes, and represent Anthropic at strategic customer engagements.

Salary

USD 315,000 - 380,000

Requirements

Skills

  • 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre‑sales technical role
  • 3+ years of technical pre‑sales management experience
  • Deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments
  • Experience building and rapidly scaling teams and processes within ambiguous and fast‑moving environments
  • Excellent communication, collaboration, and coaching abilities
  • Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies
  • High level familiarity with the architecture and operation of LLMs
  • Passion for making powerful technology safe and societally beneficial
  • Active interest in emerging research and industry trends within AI

Responsibilities

  • Hire, manage, and guide a team of pre‑sales Solutions Architects
  • Set goals for your team in collaboration with sales and other parts of the organization
  • Act as a technical sponsor for high‑value strategic customers and advise on AI adoption strategies or use‑case scoping and POC execution
  • Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases
  • Work with cross‑functional teams like product and engineering to ensure customer feedback is prioritized and blockers are resolved
  • Travel to customer sites or conferences for executive‑level 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/ML trends and the competitive landscape

Technologies

APILLMClaude (Anthropic AI models)

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