{"slug": "generalist-engineer-greptile", "title": "Generalist Engineer — Greptile", "summary": "Greptile, an AI code review startup, is hiring a Generalist Engineer in San Francisco with a salary of $170k–$300k, plus $40k–$120k in equity and up to $25k in relocation assistance. The company, which reviews 5 billion lines of code monthly for 22,000+ customers and has raised $30 million from Benchmark, Y Combinator, Paul Graham, and Initialized, aims to build agents that autonomously validate code changes.", "body_md": "# Generalist Engineer\n\n- Salary\n- $170k–300k/yr\n- Location\n- San Francisco\n- Work type\n- On-site\n- Posted\n- today\n\n[\nApply on company site (opens in new tab) ](https://jobs.ashbyhq.com/greptile/43c301c3-9416-4cf7-ac0b-5c30e6c6ac4b/application)\n\nGeneralist Engineer\n\nEngineering · San Francisco · On-site · Full time\n\nCompensation\n\n$170K – $300K • $40K – $120K Equity • Up to $25K in relocation assistance\n\nWe want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards.\n\nGreptile reviews 5B lines of code every month for 22,000+ customers.\n\nProblems we’re excited about\n\n- Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?\n- Can we identify for each customer what types of PR feedback they do and don’t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?\n- Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?\n\nTrajectory\n\n- 22,000+ customers\n- 5B lines of code reviewed every month\n- Scaled from $0 to eight figures in ARR\n- Raised $30M from Benchmark, Y Combinator, Paul Graham, and Initialized\n\nTeam\n\n- We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, etc.\n\nResponsibilities (in order of how much time you’ll likely spend on each)\n\n- Solve some of our hardest and most interesting problems, including LLM memory, multi-language codebase indexing, semantic search for large codebases, and much more.\n- Design, implement, test, and deploy full features\n- Get user feedback to iterate the features\n\nQualifications\n\n- B.S. Computer Science or equivalent degree, undergraduate or higher\n- 1+ years of software or DevOps engineering experience\n- Experience with JavaScript/TypeScript\n\nYou will like this role if\n\n- You want to work on a product that thousands of developers rely on\n- The chaos of high growth and things breaking is exciting to you\n- You like being in an office every day around other smart people who are excited about what they’re building\n- You love solving very hard problems.\n- You specifically prefer working in-person over working remote", "url": "https://wpnews.pro/news/generalist-engineer-greptile", "canonical_source": "https://frontierroles.com/jobs/greptile-generalist-engineer-f6d3b3/", "published_at": "2026-08-22 00:10:05+00:00", "updated_at": "2026-08-22 03:13:25.874508+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "ai-startups"], "entities": ["Greptile", "Benchmark", "Y Combinator", "Paul Graham", "Initialized", "GitHub", "Stripe", "Google"], "alternates": {"html": "https://wpnews.pro/news/generalist-engineer-greptile", "markdown": "https://wpnews.pro/news/generalist-engineer-greptile.md", "text": "https://wpnews.pro/news/generalist-engineer-greptile.txt", "jsonld": "https://wpnews.pro/news/generalist-engineer-greptile.jsonld"}}