cursor - AI Adoption Engineer
Responsibilities
• Design, produce, and run internal hackathons within customer organizations: 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: which customers need a hackathon, which need a structured workshop, which need something else entirely • Capture outcomes from every engagement and turn them into customer success stories for internal account teams and for broader Cursor storytelling • 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 • YOU MAY BE A FIT IF • You have experience running developer events, hackathons, or technical workshops and can point to adoption outcomes that followed • You are technical enough to be credible with experienced engineers. You use Cursor or comparable AI coding tools in your own workflow and have genuine opinions about what good AI-assisted development looks like. • You understand the difference between a great event and a great adoption program. Events are a mechanism. Behavior change is the goal. • You are energized by being in the room with customers, not behind a content queue. You do your best work when the stakes are live. • You have worked in a post-sales or customer success context and understand how to operate within account relationships without disrupting them • You are a strong communicator and facilitator. You can hold the attention of a room of skeptical engineers and also sit across from a VP of Engineering and explain why this matters. • You use AI tools as core infrastructure in how you work, not as a novelty • STRONG CANDIDATES MAY ALSO 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: how decisions get made, how rollouts happen, where adoption stalls • Content creation experience: technical writing, video tutorials, or live coding sessions
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