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CursorCursorNew York, NY

Product Education Engineer

Build technical learning content, demos, labs, and workshops for Cursor AI coding tool. Lead hands-on enablement for engineering teams, translate product capabilities for field teams, and drive adoption through novel educational formats. Requires 5+ years in field engineering, solutions architecture, or developer tools.

Salary not listed
On-site5+ YOEDeveloper Relations

About the role

What you’ll do

  • Build Cursor's technical learning library hands-on: code walkthroughs, tutorials, labs, workshops, reference implementations, and instructor-led training
  • Build high-quality demos, reference implementations, and workflow automations, using Cursor itself as part of your development process
  • Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and drive measurable outcomes
  • Be the technical translation layer between Product and the field. When Cursor ships new capabilities, our Field Engineers, ADMs, and Solutions Architects come to you to get up to speed
  • Partner with Product, Engineering, DevRel, and Go-to-Market ahead of major launches so new capabilities ship with clear educational framing, practical examples, and adoption paths on day one
  • Contribute technical guides, patterns, and best practices to Cursor's public technical content to help the broader developer community accelerate their work with Cursor
  • Design learning experiences for both developers and non-technical users (e.g. eng leaders evaluating rollout, PMs pairing with agents). Enterprise adoption depends on both, and our content has to meet each audience on its own terms
  • Experiment with new formats for education, including in-product learning, hands-on labs, interactive experiences, live teaching, and AI-native tutorials (e.g. guided flows that adapt to repo context and skill level)
  • Bring field signal back to Product and Engineering on where developers get stuck and what would unlock the next stage of adoption
  • Measure what works, tracking adoption and fluency gains rather than completion rates

You may be a fit if

  • You have 5+ years of experience in Field Engineering, Solutions Architecture, Consulting, technical enablement, or software engineering at a developer tools or platform company
  • You have a deep understanding of the software development lifecycle, modern engineering org structures, and how AI coding tools are reshaping how software gets built
  • You are an active power user of AI coding tools and have deeply customized your own developer workflow
  • You have a point of view on what makes engineers more productive
  • You enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Cursor can enable, often using Cursor to accelerate your own development process
  • You have delivered large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven
  • You have built the enablement infrastructure behind the workshops, including demo environments, content-freshness automation, and self-service tooling
  • You communicate complex technical concepts in clear, persuasive written and verbal form, especially when helping customers make strategic decisions about where and how to apply AI
  • You are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers
  • You care about customer success and operational excellence as much as you care about technical ingenuity
  • You have a builder mindset, high agency, and a bias toward experimenting with new educational formats rather than defaulting to traditional documentation

Skills

ai coding toolsCursorsoftware development lifecycleworkshopstechnical trainingdemosreference implementationsprototypesIntegrationsenablement infrastructure
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