Solutions Architect, London

Cursor Cursor · Coding AI · London, United Kingdom · Customer Success

This role focuses on helping enterprise clients integrate and adopt AI-native software development tools, specifically Cursor, into their existing workflows. The Solutions Architect will work hands-on with engineering teams to configure environments, design workflows, drive adoption, and provide strategic guidance on AI integration, ultimately aiming to demonstrate measurable engineering impact and make the product indispensable.

What you'd actually do

  1. Roll out Cursor across strategic engineering organizations.
  2. Identify where Cursor should expand next inside the customer environment.
  3. Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders.
  4. Help customers translate adoption into measurable engineering impact.
  5. Bring structured feedback from strategic customers into Product and Engineering.

Skills

Required

  • Strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling.
  • Experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar.
  • Ability to work hands-on with engineering teams while also operating strategically with technical leadership.
  • Strong understanding of developer workflows, SDLC tooling, integrations, CI/CD systems, governance, and enterprise engineering environments.
  • Excellent communication skills and the ability to explain complex technical concepts clearly across both technical and executive audiences.
  • Strong instincts around workflow design, adoption strategy, and driving workflow change across engineering teams.

Nice to have

  • Passion for developer tooling and strong conviction around how AI will reshape software engineering.

What the JD emphasized

  • deeply technical, post-sale role
  • highly hands-on
  • deep technical credibility
  • strong product instincts
  • high ownership
  • strong execution skills
  • comfort operating in fast-moving environments with ambiguity

Other signals

  • AI-native software development
  • AI-assisted development
  • AI changes the economics of software development
  • AI will reshape software engineering