Cursor Logo

Cursor

Product Education Engineer

Posted 11 Days Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
Senior level
Build hands-on technical learning content (labs, tutorials, workshops, demos, reference implementations) using Cursor to enable developer adoption; lead workshops; partner with Product, Engineering, DevRel, and Field teams; measure adoption and improve educational formats.
The summary above was generated by AI

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.

About the role

Cursor ships fast. New models, new agentic capabilities, new workflows every week. The gap between what Cursor can do and what developers know how to build with it grows with every release. This role closes that gap, one lab, workshop, and tutorial at a time.

As a Product Education Engineer, you'll build the technical content and hands-on experiences that move developers from first install to deep, durable fluency. Code walkthroughs, labs, reference implementations, workshops, in-product learning, and whatever new formats we invent as we go. The demos and tutorials you ship should be things you built by pushing Cursor to its limits in your own work.

This is not a traditional customer education role. We're hiring engineers who teach, not curriculum developers who need external SMEs to write for them. You'll be the SME. You'll go deep on the product, deep with customers, and deep with the engineers building Cursor. You'll be the internal source of truth our Field Engineers, ADMs, and Solutions Architects come to when the product changes and they need to get up to speed.

You'll report to the Director of Product Education Engineering and partner with our Learning Experience Design team, who will help you translate technical depth into content that actually teaches.

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

Cursor San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

10 Hours Ago
Remote
Senior level
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Serve as the primary on-site customer-facing lead for Shield AI aircraft in Greece, managing integration, issue triage, cross-functional coordination, sustainment planning, logistics, and long-term customer adoption. Build trusted relationships, track customer health metrics, resolve technical and operational issues, and advocate field needs into product and sustainment priorities to ensure mission readiness and sustained use.
Top Skills: CRMGroup 3-5 UasHivemindIssue Tracking ToolsLogistics And Sustainment ToolsV-BatX-Bat
10 Hours Ago
In-Office or Remote
Mid level
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Account Executive will build a sales pipeline in the German markets, work with cross-functional teams, and maintain stakeholder relationships to drive sales and manage accounts for Deepgram's voice AI platform.
Top Skills: AISales TechnologySpeech-To-SpeechSpeech-To-TextText-To-SpeechVoice Ai
10 Hours Ago
Remote
Mid level
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Sell Deepgram's voice AI platform across EMEA by prospecting new logos, building pipeline, closing full-cycle technical deals, collaborating with Sales Ops and Sales Engineers, managing stakeholder relationships, and driving upsell with CSMs. Target technical buyers and communicate product value to meet and exceed quotas.
Top Skills: Ai/MlCloud ApisDeveloper ToolsSpeech-To-TextText-To-SpeechVoice Ai

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account