---
title: 'Data Engineer, Marketing at Cursor'
canonical: 'https://feeny.ai/job/data-engineer-marketing-cursor-san-francisco-t9pnr904fj2g'
type: 'job'
last_seen: '2026-11-03'
---

# Data Engineer, Marketing at Cursor

- **Company:** Cursor
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-03
- **Apply:** https://jobs.ashbyhq.com/cursor/6acdd80a-3a1b-4701-a607-ca10d86c6847

## 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

The Data team at SpaceXSI is a small team that works across the company to inform business and product decisions, and we’re hiring the first member of our team to focus fully on marketing. Performance Marketing at SpaceXSI drives scaled acquisition across 10+ channels for Grok, Grok Bot, and our full portfolio of AI products, across consumer, SMB, startup, and enterprise audiences. This role will sit in the central Data team and partner directly with Marketing leadership to own the measurement and analysis of performance marketing, growth marketing programs, and overall marketing measurement. You'll use your expertise to inform where the next dollar goes as we scale paid acquisition, while building the foundations of a world class marketing data team. Your job is to help us understand the impact of our activities and what we should do next.

## What you'll do

- Build and own the measurement layer for performance marketing: economics and performance by channel, campaign, audience, geo, and creative, across both PLG and Sales-Led revenue lines
- Design incrementality tests (geo, audience, and conversion lift) with channel owners, and use the results to move budget and calibrate attribution, not just to fill a slide
- Stand up and maintain our media-mix model, and pair it with test results to answer the big allocation questions: which channels to scale, which to cut, and where we're hitting saturation
- Own the quality of the predictive LTV signal we send to Meta, Google, and the other networks: validate it against realized revenue, catch drift and breakage early, and partner with Data and Engineering to improve it
- Keep pipeline source and campaign attribution separate and clean, so self-reported source, promo codes, click-based attribution, and CRM pipeline each answer their own question without double counting revenue

You may be a fit if

- You have 7+ years of experience in marketing analytics, marketing science, or data science supporting paid acquisition
- You have strong SQL and python skills and are comfortable building both data pipelines and predictive models
- You've run hold-out or incrementality tests and worked with MMM and attribution models in production, and you know the limitations of each
- You understand how ad platforms report, optimize, and ingest conversion signals, and you don't take platform-reported numbers at face value
- You communicate clearly with channel managers, Finance, and leadership, and you're honest about what the data does and doesn't support
- You're self-directed, comfortable owning ambiguous problems end to end

## 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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