Partner Solutions Architect, Applied AI

📋 Description

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• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
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• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment.
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• Customer Deal Support: Intervene to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
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• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
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• Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
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🎯 Requirements

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• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
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• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
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• Fluent in Japanese and English; strong communication to diverse stakeholders including C-suite, engineering, and IT
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• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
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• Experience designing scalable cloud architectures and integrating with enterprise systems
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• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
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🎁 Benefits

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• Competitive compensation and benefits
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• Optional equity donation matching
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• Generous vacation and parental leave
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• Flexible working hours
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• Collaborative office space
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