CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week. We build the symbiotic partnership between developers and AI that makes shipping fast software safe again, reviewing every pull request, IDE change, and CLI commit so teams can move quickly without breaking things.
We are a fast-moving, well-funded company, fresh off a $143M Series C at a $1.5B valuation — building Agentic Change Management, the control layer for software changes created by humans and agents. As AI writes more of the world's code, the bottleneck moves from implementation to judgment and helping human judgment scale is exactly the problem we exist to solve.
What You'll DoOwn Technical Hiring End-to-EndDrive full-cycle recruiting across engineering, data science, ML, product, and technical operations.
Sit down with hiring managers and technical leads to pin down what "excellent" means for each role — the signals that never make it into a job spec.
Build interview loops that are sharp and repeatable, testing for genuine technical depth alongside the judgment it takes to succeed in a fast-moving startup.
Win candidates by making the scope, autonomy, and reach of what we're building impossible to ignore.
Hunt for engineers, data scientists, and technical PMs through advanced sourcing across GitHub, LinkedIn, and the technical communities where builders actually spend their time.
Construct pipelines for roles that demand both engineering rigor and the ability to thrive in a lean, high-velocity environment.
Reach talent long before they open a job tab — through open-source contributors, hackathon circles, and communities tied to developer tooling and AI.
Keep a working knowledge of movement in AI/ML, developer tools, and dev infrastructure so your outreach lands with engineers who can tell the difference.
Serve as a trusted advisor to engineering and product leaders, giving them straight market feedback and real competitive intelligence on the talent landscape.
Give technical leaders the clarity to make fast, confident hiring calls — adding structure without the bureaucracy that usually comes with it.
Convert roadmap priorities into concrete hiring plans, and surface risks while they're still easy to fix.
Hold the line on speed, quality, and team fit as the company's technical direction keeps evolving.
Create and refine interview frameworks, assessment methods, and hiring rubrics that hold up as teams grow.
Bring consistency and standards to hiring without becoming a drag on the teams you support.
Lean on data, pattern recognition, and good judgment to keep raising the bar — and coach others to do the same.
Lay the groundwork for a recruiting function that can keep pace with where CodeRabbit is headed.
5–8+ years of full-cycle technical recruiting, ideally at high-growth startups, developer-tools companies, or teams scaling engineering headcount quickly.
A proven history of landing senior engineers, data scientists, ML practitioners, and technical PMs in genuinely competitive markets.
Standout sourcing chops — real fluency with GitHub, LinkedIn Recruiter, Boolean search, and the creative approaches that surface hard-to-find profiles.
Enough technical fluency to talk credibly with engineers about their work, read role-fit signals, and judge candidate quality well past the resume.
A high tolerance for ambiguity, shifting priorities, and leaders who think big and move quickly.
Sharp instincts for talent, trajectory, and team fit — not just pedigree and years served.
A crisp communicator and a strong closer who takes real pride in the quality of the teams they help assemble.
Real curiosity about developer tools, AI, and the craft of software — and a genuine interest in building products engineers actually want to use.
