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Solutions Architect - Japan
Customer successRemote — Japan
Published on 2026-11-09
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Help strategic engineering organizations adopt AI-native software development workflows using SpaceXSI. The role combines hands-on technical implementation and enablement with strategic guidance to drive measurable outcomes and lasting adoption.
About the company
Cursor builds an AI coding editor and agent workflows that help developers write and ship software faster. It serves software teams looking for tighter AI assistance inside the IDE.
The team
Customer Success; Solutions Architecture
What you'll do
- Configure environments and roll out AI-assisted development workflows in production
- Run hands-on enablement and help engineering teams overcome adoption barriers
- Plan expansion across teams, workflows, and platform groups
- Advise technical and executive stakeholders on architecture, governance, and AI adoption
- Track customer outcomes such as developer productivity, iteration speed, and engineering quality
- Provide customer feedback to Product and Engineering and develop reusable workflow patterns
What we're looking for
- Technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling
- Experience in a customer-facing technical role such as Solutions Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, or Enterprise Architect
- Willingness to travel to customers as needed
Nice to have
- Knowledge of developer workflows, SDLC tools, integrations, CI/CD, governance, and enterprise engineering environments
- Ability to work hands-on with engineering teams and strategically with technical leadership
- Strong communication, workflow design, and adoption strategy skills
- High ownership and comfort working in fast-moving, ambiguous environments
- Interest in developer tools and AI’s impact on software engineering
