AI-Native Solutions Architect for Enterprise Adoption

cursor

Australia

On-site

AUD 120,000 - 210,000

Full time

14 days+
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Job summary

Cursor is hiring for Solution Architects to help world’s leading engineering organizations design and deploy AI-native software development in production. This deeply technical, post-sale role sits inside Cursor’s strategic enterprise accounts, working with engineering teams to roll out high-impact workflows and accelerate adoption.

You’ll shape rollout strategies, drive durable adoption, and partner with executives to redefine how software is built with AI at scale.

Qualifications

  • 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.

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

Job description

Cursor is hiring for Solution Architects to help world’s leading engineering organizations design and deploy AI-native software development in production. This deeply technical, post-sale role sits inside Cursor’s strategic enterprise accounts, working with engineering teams to roll out high-impact workflows and accelerate adoption.

You’ll shape rollout strategies, drive durable adoption, and partner with executives to redefine how software is built with AI at scale.

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