Manager, Applied AI Architect

Anthropic · Tokyo, Japan · Applied AI · listed October 13, 2026

The shape of it

Seniority
Manager
Experience asked
3–7 years
Where
Hybrid
Requirements listed
17
Length
1,727 words

In the posting’s own words

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

What it asks for · 17

  • 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
  • 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
  • Native or business-level fluency in Japanese and professional proficiency in English
  • Experience working with Japanese enterprise customers and understanding local business culture and decision-making processes (e.g., ringi/nemawashi, multi-layer stakeholder alignment)
  • Experience with the unique technical requirements and technical procurement processes of Japanese enterprises, including working through SIers and channel partners
  • Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
  • An organizational mindset and enjoyment of scaling teams in a fast-growing, evolving environment
  • Excellent communication, collaboration, and coaching abilities
  • Comfort with uncertain, ambiguous, and fast-moving environments typical of the tech industry
  • Strong executive presence and the ability to foster deep relationships with technical leaders and engineering teams
  • At least a high-level familiarity with the architecture and operation of large language models and/or ML in general
  • Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
  • The ability to make ambiguous problems clear and identify core principles that translate across scenarios
  • A passion for making powerful technology safe and societally beneficial

3 more in the original.

Tools and skills named

Models & research
  • LLM6×
  • Machine learning2×
  • Prompt engineering2×
Go to market
  • Go-to-market2×
  • Partnerships2×
  • Solutions architecture2×
Ways of working
  • Mentorship2×

Words the posting leans on

  • technical14×
  • experience10×
  • enterprise8×
  • japanese6×
  • ambiguous4×
  • deep4×
  • engineering4×
  • industry4×
  • integration4×
  • llm4×
  • pre-sales4×
  • processes4×
  • proficiency4×
  • tech4×
  • understanding4×
  • abilities comfort2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched October 31, 2026 and last changed by Anthropic on October 13, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.