Una candidatura completa in un minuto
Curriculum e lettera di presentazione personalizzati, pronti da inviare.
CodeRabbit is seeking a seasoned operations engineer in San Francisco who can discuss architecture with CTOs and VPs, show how CodeRabbit fits into real development workflows, and back it up with hands-on demos and code. A strong candidate brings production engineering depth and experience rolling out developer tools at scale.
The role also requires the ability to communicate trade-offs clearly to executives and conference audiences, including strong public speaking and technical writing that
Operations · San Francisco · Remote · FullTime · Senior level
This role asks for a seasoned engineer who can talk architecture with CTOs and VPs, show how CodeRabbit fits into real development workflows, and back it up with hands on demos and code. A strong candidate brings production engineering depth, experience rolling out developer tools in large organizations, and the judgment to separate what is shipped from what is planned. The job also calls for public speaking and writing that make technical trade offs clear to both executives and conference audiences.
AI coding agents produce code faster than people can review it, so this role centers on helping enterprises trust and govern that output rather than just generate more of it. The work stays human in the architecture conversations, the judgment about what should ship, and the ability to explain trade offs under scrutiny. AI changes the volume and pace of review, but the need for independent validation and clear evidence remains a people driven task.
A candidate would gain direct experience with how enterprises evaluate AI generated code for quality and security, using CodeRabbit's review, triage, explain, and secure capabilities as the working example. Building that experience means getting hands on with AI coding assistants and agents, then learning to inspect their output against team standards and architecture. The role also offers practice in distinguishing measured results from assumptions when making the case for AI adoption.
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.