---
title: 'Software Engineer, Bugbot at Cursor'
canonical: 'https://feeny.ai/job/software-engineer-bugbot-cursor-san-francisco-bhv902ckg5xb'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineer, Bugbot at Cursor

- **Company:** Cursor
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-12
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/cursor/88d47f97-0bea-448c-9abb-4720e4acf17a

## Job description

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

We're hiring a Software Engineer to work on Bugbot. Bugbot reviews pull requests, catches bugs, suggests improvements, and is becoming a critical part of how engineering teams ship software. As LLMs rapidly mature, the surface area of what Bugbot can do is expanding just as fast.

From the model integration and agent harness improvement to the product UI, integrations, and onboarding experience, you’ll maintain Bugbot being the industry's best AI code reviewer. This is a full-stack IC role where you'll ship features end-to-end and directly shape how millions of engineers interact with AI during code review.

## What you’ll do

- Launch new Bugbot features end-to-end from defining the feature and building the UI to wiring up the backend and iterating on model behavior so that each release meaningfully improves code review quality. You can check out Bugbot blog post for some examples of how Bugbot was improved in the past: https://cursor.com/blog/building-bugbot .
- Evolve the review pipeline adapting prompting strategies, model routing, context selection, and agent orchestration to take advantage of new capabilities while managing cost and latency.
- Build integrations that embed Bugbot into every engineer's workflow making AI-assisted review a seamless, default part of the development loop.
- Own product quality and reliability monitor precision and recall, triage false positives, improve observability across the review pipeline, and ensure Bugbot earns trust with every review it posts.
- Design onboarding and adoption flows that help teams go from first install to daily active usage.
- Partner with ML, infrastructure, and product teams to inform model improvements with real-world review data, shape the Bugbot roadmap, and scale the system as adoption grows.
- You will own Bugbot's product surface end-to-end: features, integrations, review pipeline, onboarding, configuration, and the user experience of AI code review.
- You will not own foundation model training or core infrastructure services — but you will be a key consumer and collaborator, driving requirements based on what Bugbot needs.
- You will not be a backend-only engineer or an ML researcher who doesn't ship product. This role requires you to move fluidly between the model layer and the product layer.
- Quality is the product. A code review assistant that posts noisy or unhelpful comments is worse than no assistant at all. You'll be obsessive about making Bugbot's output genuinely useful. You obsess about your evals.

You may be a fit if

- You’ve built or worked on agents that integrate into the code review or CI/CD workflow.
- You’ve shipped full-stack product features end-to-end and enjoy moving between frontend, backend, and model integration.
- You care deeply about developer experience and collecting new evals from customers and internal team members.
- You can hold the tension between "ship fast to learn" and "don't erode trust with bad suggestions."
- You’ve launched a product or feature to external users and owned the full loop: onboarding, documentation, feedback, and iteration.

## #LI-DNI

## 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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