Greptile reviews pull requests with complete context of the codebase. Thousands of teams use Greptile to catch more bugs and merge PRs faster.

We're a small, tight-knit in-person company based in San Francisco.

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Hundreds of top software companies use Greptile to merge PRs faster and catch more bugs.

Greptile reviews over 400M lines of code every month. Our customers across our cloud and self-hosted products range from YC startups, to big tech companies, and even teams outside tech, in finance, healthcare, and defense.

Responsibilities

• Own the full enterprise sales cycle from prospecting to close across technical and economic buyers

• Identify, prioritize, and develop strategic relationships with top software organizations

• Develop deep product knowledge and demonstrate strong technical fluency in the AI/code review space

• Partner closely with founders, engineers, and product to feed customer insights into product direction

• Shape and refine GTM motion, especially around expansion, pricing, and outbound playbooks

Qualifications

Must-Have:

• 4+ years of closing experience in B2B SaaS, with at least 2+ in enterprise sales

• Prior experience at an early-stage AI company (Series A to C preferred)

• Strong technical fluency—you’ve sold to engineers, and you can comfortably explain APIs, code integrations, or model behaviors

• A proven track record of exceeding quota in complex sales cycles

• Comfortable in ambiguity—you know how to build structure in a fast-moving, zero-to-one environment

• Entrepreneurial spirit and first principles thinking

Nice-to-Have:

• Background selling into developer tools, MLOps, security, or dev productivity

• Experience with bottoms-up adoption funnels

• Previous founder, early operator, or first sales hire

Interview Process

1. Fifteen minute intro call

2. One-hour on-site interview with CEO + team lunch

3. Thirty-minute Zoom interview with sales advisor

4. Two reference calls

Backend: Node, TypeScript, AWS ECS/Lambda, Postgres Frontend: NextJS