As a Product Support Specialist, you will respond to user needs, provide technical support, and help improve customer satisfaction.
About this role
Anthropic's Applied AI team in Tokyo hires a pre-sales architect who becomes the trusted technical advisor for large Japanese enterprises adopting Claude. The architect helps customers see the value of Claude and plan how to integrate and deploy it into their technology stack.
The architect partners with account executives across Japan to turn customer requirements into technical solutions, advises customers from technical discovery through evaluation to deployment, and supports teams building with the Claude API and Claude for Work. The person creates and delivers technical content for audiences from engineering teams to executives, guides architecture decisions, helps customers build evaluation frameworks to measure Claude's performance, and shares common integration patterns with the product and engineering teams.
Applicants need five or more years in technical customer-facing roles such as solutions architect, sales engineer or technical account manager, and native-level Japanese with business-level English. They need experience with enterprise customers and complex buying cycles, skill communicating with executives and IT teams, experience designing cloud architectures and integrating enterprise systems, and comfort with Python.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Provide IT support for Anthropic staff in Tokyo under a hybrid policy, with office attendance expected at least 25% of the time. A bachelor’s degree or equivalent experience is required.
Builds security practices across BUYMA and the Enigmo Group, advancing cloud security, DevSecOps, and governance with infrastructure, development, and corporate IT teams.
Lead technical strategy for the Japan region, advising C-level executives and collaborating with teams to drive customer success.
Design, develop, evaluate, and deploy AI models and production systems for security and intelligence projects, using Python, cloud platforms, containers, IaC, and CI/CD with customers.
Owns a manual-product theme for a frontline-work video SaaS, using customer research to set roadmaps, align engineering and design, deliver features, and assess post-release KPIs.