Security Engineer

We 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.

Greptile reviews 5B lines of code every month for 22,000+ customers.

Problems we’re excited about

• Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?

• Can we identify for each customer what types of PR feedback they do and don’t care about in order to increase signal-to-noise ratio?

• Some bugs are best caught by running the code. Can we autonomously deploy feature branches and use agents to try to break the application?

• How do we secure a product that processes highly sensitive code across cloud, self-hosted, and air-gapped environments?

Trajectory

• 22,000+ customers

• 5B lines of code reviewed every month

• Scaled from $0 to eight figures in ARR

• Raised $30M from Benchmark, Y Combinator, Paul Graham, and Initialized

Team