Enterprise AI Solutions Architecture Lead

Fdetimes

San Francisco (CA)

Ibrido

USD 100.000 - 200.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Generous vacation and parental leave
Flexible working hours
Optional equity donation matching
Lovely office space

Descrizione del lavoro

Anthropic is seeking a seasoned manager to lead the Solutions Architect team within Applied AI Enterprise Tech. You will hire, grow, and coach pre-sales engineers, align goals with sales, and sponsor strategic customer engagements for Claude for Enterprise, Claude Code, and the API.

You will collaborate with product and engineering to shape adoption strategies, travel to customer sites, and drive AI at scale with safety and reliability in mind.

Competenze

  • 7+ years of experience in pre-sales roles such as Solutions Architect or Sales Engineer.
  • 3+ years of technical pre-sales management experience.
  • Deep proficiency with enterprise AI use cases, API integrations, and LLM deployments.
  • Strong ability to scale teams and lead across ambiguous environments.
  • Excellent communication and executive relationship-building.

Mansioni

  • Lead and grow the pre-sales Solutions Architects team with guidance and career development.
  • Set team goals with sales and cross-functional partners.
  • Act as technical sponsor for high-value customers and advise on AI adoption strategies.
  • Collaborate with Enterprise Tech sales to drive adoption of Anthropic products.
  • Work with product and engineering to address feedback and blockers.

Descrizione del lavoro

Anthropic is seeking a seasoned manager to lead the Solutions Architect team within Applied AI Enterprise Tech. You will hire, grow, and coach pre-sales engineers, align goals with sales, and sponsor strategic customer engagements for Claude for Enterprise, Claude Code, and the API.

You will collaborate with product and engineering to shape adoption strategies, travel to customer sites, and drive AI at scale with safety and reliability in mind.

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