---
title: 'Product Education Engineer at Cursor'
canonical: 'https://feeny.ai/job/product-education-engineer-cursor-new-york-n7b38tynxdb6'
type: 'job'
last_seen: '2026-10-20'
---

# Product Education Engineer at Cursor

- **Company:** Cursor
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/cursor/c5bbeeb2-1af0-4bde-9e32-55d46c313767

## Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

## About the role

SpaceXAI 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 SpaceXAI 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

## About Cursor

## Company Overview
- **One-liner**: Cursor is an AI coding agent and software development environment that enables developers to build, test, and ship software using natural-language instructions and autonomous agents.
- **Entity Type**: Private (pending acquisition by SpaceX/xAI)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Michael Truell, Sualeh Asif, Aman Sanger, Arvid Lunnemark

## Core Business
- **Primary industry**: Artificial intelligence, developer tools, software development
- **Target customers**: B2B (enterprise, SMB, individual developers); trusted by over half of the Fortune 500
- **Mission/purpose**: To build the future of software development and help engineers "engineer anything"

## Products & Services
- **Cursor (AI Coding Agent)**: The flagship product — an AI-powered code editor and agent that searches codebases, edits files, runs terminal commands, and completes multi-step programming tasks from natural-language instructions. Available as a desktop IDE, web app, mobile app (iOS), and CLI.
- **Bugbot**: A code-review tool integrated with GitHub pull requests that autonomously detects bugs and issues.
- **Composer Models**: A family of proprietary agentic coding models (Composer, Composer 1.5, Composer 2, Composer 2.5) trained with reinforcement learning for long-running coding tasks.
- **Cursor Automations**: Always-on agents that run on schedules or triggers to build, maintain, and fix software.
- **Cloud Agents**: Agents that run in their own cloud environments to build, test, and demo features end-to-end.
- **Graphite**: A separate product acquired by Cursor (formerly a stack-based Git workflow tool).

## Market Standing
- **Valuation**: $29.3 billion (Series D, November 2025); pending acquisition by SpaceX/xAI at $60 billion (announced June 16, 2026)
- **Key Metric**: $3 billion+ Annual Recurring Revenue (ARR) as of May 2026
- **Notable Investors**: Accel, Coatue Management, Thrive Capital, OpenAI Startup Fund, Google, Nvidia; angel investors include Nat Friedman (former GitHub CEO) and Arash Ferdowsi (Dropbox co-founder)
- **Growth Signals**: Crossed $100M ARR in Jan 2025, $500M ARR by June 2025, $1B ARR by Nov 2025, and $3B ARR by May 2026. Headcount grew from ~300 (2025) to 579 (mid-2026). Expanding into mobile, Jira integration, and enterprise features.

## Competitive Advantages
- **Proprietary coding models (Composer series)** trained with reinforcement learning specifically for software development tasks — a deep technical moat
- **Complete codebase understanding** at any scale, enabling agents to work contextually across large, complex codebases
- **Multi-model flexibility**: Integrates models from OpenAI, Anthropic, Gemini, xAI, and their own models, letting users choose the best tool per task
- **Agentic infrastructure**: Agents that run autonomously, in parallel, and across environments (terminal, Slack, GitHub, Jira, cloud)
- **Massive adoption**: Trusted by over half the Fortune 500 and millions of developers — strong network effects and brand lock-in

## Strategic Focus
- **Scaling agentic capabilities**: Moving from assisted coding to fully autonomous software development agents
- **Enterprise expansion**: Building admin controls, SSO, compliance features, and usage analytics for large organizations
- **Platform ecosystem**: Expanding into adjacent tools (Jira, Slack, GitHub, mobile) to embed agents everywhere developers work
- **Model research**: Continued investment in training frontier coding models with reinforcement learning and synthetic data
- **Post-acquisition integration with xAI**: Leveraging SpaceX/xAI compute and infrastructure for even larger models

## Why Work Here
- **Mission-driven research environment**: Cursor describes itself as "an applied research team focused on building the future of software development" — a rare blend of R&D and product engineering
- **Talent density**: The company "obsesses over talent to an unusual degree" and designs itself as "a haven for self-motivated individual contributors"
- **Rapid growth trajectory**: From 0 to $3B ARR in ~4 years — employees work on products used by millions and see massive scale
- **Compensation**: Competitive for AI/engineering talent; top-of-market salaries and equity in a high-valuation private company
- **Work policy**: Mix of in-office (San Francisco, New York) and remote roles; many engineering roles are on-site
- **Engineering culture**: Two-day on-site final interviews with the core team; no AI tools allowed in first-round coding interviews — they value raw problem-solving
- **Team composition**: 579 employees with strong talent density from Stripe, Figma, Notion, Vercel, Graphite, Slack, Rubrik, and Plaid
- **Recent departures to**: Anthropic, OpenAI, Google, AWS — alumni are highly sought after

## Sources
1. [cursor.com](https://cursor.com)
2. [cursor.com/careers](https://cursor.com/careers)
3. [LinkedIn](https://www.linkedin.com/company/cursorai)
4. [Wikipedia](https://en.wikipedia.org/wiki/Cursor_(company))
5. [JobsByCulture](https://jobsbyculture.com/blog/working-at-cursor-2026)

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