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CodeRabbit is seeking a leadership sales role in Austin to own the enterprise revenue for our developer-tool platform. You will hire and coach account executives, maintain accurate forecasts, and build scalable processes that repeat success at scale.
The role blends hands-on deal support with system-building, requiring comfort selling to engineering and platform buyers and a track record of closing large, complex deals.
This is a leadership sales role owning an enterprise revenue number for a developer tool company, hiring and coaching account executives while keeping forecasts accurate and the sales motion repeatable. A strong candidate brings a decade of B2B software sales with several years managing reps, a record selling to very large accounts, and comfort talking with engineering and platform buyers. The work blends hands on deal support with building systems and processes that scale.
The product sells into a shift where AI writes much of the code and review becomes the bottleneck, so the sales conversation centers on judgment and control rather than raw speed. AI tools can sharpen forecasting, pipeline hygiene and account research, but closing large technical deals and coaching reps through complex buying groups stays human. The role rewards someone who can explain that shift credibly to engineering leaders.
Selling an AI code review platform gives direct exposure to how AI agents change software delivery and what buyers worry about when adopting them. A candidate can build this by learning the developer tooling landscape, understanding pull request workflows, and practicing value based selling to technical stakeholders. Familiarity with how AI review fits into engineering processes would help conversations with platform and DevOps teams.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
An AI code reviewer that, per the company, comments on every pull request, built for a world where AI coding agents write more code than people can read.