AI Adoption Engineer

As an AI Adoption Engineer, you will bridge the gap between buying Cursor's AI coding tools and changing how a large engineering organisation builds software.

You will design and run hackathons, facilitate Customer Developer Days, build internal champions, and create conditions for engineering teams to genuinely shift how they work with AI.

Responsibilities

• Design, produce, and run internal hackathons within customer organisations: company-specific formats, cohort-based programs, single-day sprints, multi-day builds, and theme-based challenges
• Build and own the Customer Developer Day program: immersive half-day or full-day events designed for specific accounts or customer segments
• Develop the facilitation infrastructure that makes these programs repeatable: playbooks, judging rubrics, agenda frameworks, and post-event retrospective templates
• Partner with AI Deployment Managers and Customer Success to identify the right intervention for each account
• Capture outcomes from every engagement and turn them into customer success stories
• Identify patterns across customer engagements and feed them back into how the broader Customer Education team designs programs and content
• Be a credible technical presence in the room with developers: you can follow a codebase, troubleshoot in real time, and demonstrate Cursor capabilities at a level that earns developer trust

Requirements

• Experience running developer events, hackathons, or technical workshops with measurable adoption outcomes
• Technical expertise to be credible with experienced engineers, using Cursor or comparable AI coding tools in your own workflow
• Understanding of the difference between a great event and a great adoption program
• Ability to work in a post-sales or customer success context, operating within account relationships without disrupting them
• Strong communication and facilitation skills
• Experience using AI tools as core infrastructure in your work

Nice to Have

• Prior experience in developer relations, developer advocacy, or technical customer success
• Background in instructional design, facilitation, or learning science
• Experience at a developer tools company: IDE, API platform, DevOps, or AI tooling
• Familiarity with enterprise engineering environments
• Content creation experience: technical writing, video tutorials, or live coding sessions