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Overview
Join Cursor as a Product Education Engineer to bridge the gap between product capabilities and developer knowledge through hands-on technical content and workshops. Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
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
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