Enterprise AI Success Manager

Anthropic

New York (NY)

Hybrid

USD 200,000 - 265,000

Full time

14 days+
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Job summary

Anthropic is seeking an Enterprise Customer Success Manager, GSI, to partner with the most complex customers across Systems Integrators, driving adoption of Claude capabilities—API, Claude for Enterprise, and Claude Code.

You will build strategic relationships, understand business objectives, and guide customers on best practices while expanding usage and value. A strong AI/ML background and ability to articulate technical concepts are essential.

Qualifications

  • 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering.
  • Experience working with enterprises in Systems Integrator industries.
  • Technical fluency with AI/ML concepts, API integrations, and software implementation patterns.
  • Experience across consumption-based and seat-based business models.
  • Strategic mindset to identify growth opportunities and translate into expansion plans.
  • Proven track record managing a portfolio of accounts with strong relationships.

Responsibilities

  • Build trusting, strategic relationships with key customer decision makers.
  • Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise.
  • Drive usage planning and understand current and future consumption to create value.
  • Monitor usage patterns and identify optimization opportunities across API and Claude products.
  • Socialize Anthropic's product roadmap and engage Product PMs to drive adoption.
  • Quantify customer value realized through ROI and business outcomes.

Skills

Customer Success
Enterprise
AI/ML concepts
API integrations
Strategic account management

Education

Bachelor’s degree

Job description

Anthropic is seeking an Enterprise Customer Success Manager, GSI, to partner with the most complex customers across Systems Integrators, driving adoption of Claude capabilities—API, Claude for Enterprise, and Claude Code.

You will build strategic relationships, understand business objectives, and guide customers on best practices while expanding usage and value. A strong AI/ML background and ability to articulate technical concepts are essential.

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