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Customer Success Manager, GSI

Anthropic - San Francisco, CA, United States - Hybrid - posted 2026-08-17

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Anthropic is seeking an Enterprise Customer Success Manager for the GSI (Global Systems Integrators) segment. This is a strategic, high-impact role focused on driving AI adoption and maximizing customer value across complex enterprise accounts. You will serve as the primary strategic partner and trusted advisor to Systems Integrators, helping them harness the full potential of Anthropic's Claude capabilities—including API, Claude for Enterprise, and Claude Code. Your responsibilities include: • Building and maintaining trusting, strategic relationships with key customer decision-makers to understand their business objectives and identify optimization opportunities • Developing deep expertise in Anthropic's product suite and translating technical nuances into business value for diverse stakeholder groups (developers, product managers, executives, end users) • Proactively driving usage planning and consumption optimization across both API (consumption-based) and Claude for Enterprise/Code (seat-based) models • Monitoring usage patterns and identifying expansion opportunities to maximize value from customer commitments • Serving as a thought partner, socializing product roadmap updates and driving awareness of new capabilities • Quantifying and documenting customer value realized through business outcomes, ROI, and impact metrics • Identifying new use cases and lines of business for Claude adoption across customer departments and workflows • Developing and executing change management strategies, including Train the Trainer programs and Center of Excellence initiatives • Owning the complete customer lifecycle—managing account and success plans, conducting Quarterly Business Reviews, and serving as the primary conduit between customer and Anthropic • Creating scalable engagement strategies and playbooks for your industry portfolio Required qualifications: 6+ years in Customer Success, Technical Account Management, or Solutions Engineering; experience with enterprise Systems Integrators; technical fluency with AI/ML concepts and API integrations; proven success managing both consumption-based and seat-based business models; strong portfolio management and cross-functional collaboration skills; passion for AI and responsible AI development.

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