About the Role
Solution Architects at Cursor help the world’s best engineering organizations figure out what AI-native software development actually looks like in production. This is a deeply technical, post‑sale role embedded inside our most strategic enterprise accounts. You’ll work directly with engineering teams to roll out high‑impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI.
Solution Architects sit at the center of long‑term customer transformation, moving customers from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time.
The role is highly hands‑on: configure environments, design workflows, run enablement sessions, solve technical problems with developers and platform teams in complex enterprise environments, and help engineering leaders think through rollout strategy and long‑term architecture for AI‑native development.
What You’ll Do
Help Engineering Teams Adopt AI‑Native Development
- Roll out Cursor across strategic engineering organizations.
- Configure environments, design workflows, and run hands‑on enablement sessions.
- Help developers integrate Cursor into real production workflows—not isolated demos.
- Drive fast time‑to‑value and durable adoption across teams.
- Identify workflow friction and solve problems quickly.
Expand Cursor Across the Organization
- Identify where Cursor should expand next inside the customer environment.
- Help engineering organizations evolve from isolated usage to company‑wide adoption.
- Design rollout strategies for new workflows, teams, and platform groups.
- Partner with customers to operationalize AI‑assisted development at scale.
- Work closely with Account Executives during major expansion moments.
Become a Trusted Technical Partner
- Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders.
- Lead architecture reviews, technical working sessions, and strategic planning discussions.
- Advise customers on developer productivity, workflow design, governance, and AI adoption strategy.
- Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress.
- Help organizations navigate workflow and operational change as AI‑native development evolves.
Drive Real Customer Outcomes
- Help customers translate adoption into measurable engineering impact.
- Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality.
- Help customers communicate the value of Cursor internally and build momentum for broader adoption.
- Turn successful deployments into repeatable workflow patterns across the organization.
Help Make Cursor Indispensable
- Deepen workflow adoption and long‑term product stickiness.
- Monitor competitive risk and help customers standardize on Cursor over time.
- Support recovery plans when adoption slows or competing tools gain traction.
- Help customers build workflows they can’t imagine operating without.
Shape the Future of the Product
- Bring structured feedback from strategic customers into Product and Engineering.
- Identify emerging workflow patterns, friction points, and enterprise requirements.
- Help shape new capabilities through lighthouse customers and design partnerships.
- Turn successful customer workflows into reusable playbooks and reference patterns.
You’ll Might Be a Fit If
- 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.
- High ownership, strong execution skills, and comfort operating in fast‑moving environments with ambiguity.
- Passion for developer tooling and a strong conviction about how AI will reshape software engineering.
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