---
title: 'Senior Technical Recruiter at CodeRabbit'
canonical: 'https://feeny.ai/job/senior-technical-recruiter-coderabbit-san-francisco-ahanhvxvsxpx'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Technical Recruiter at CodeRabbit

- **Company:** [CodeRabbit](https://feeny.ai/companies/coderabbit)
- **Location:** San Francisco, CA
- **Compensation:** $175k–$225k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-05-13
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/coderabbit/3a0a0ed3-e945-4e9b-b76c-ca5239de183f/application

**Skills:** Technical Recruiting, Ashby, LinkedIn Recruiter, Outbound Sourcing, Funnel Metrics Analysis, ATS Management

> Own full-cycle technical recruiting for engineering, AI/ML, and product roles. Build outbound sourcing pipelines, partner with founders to close top talent, and optimize hiring processes and tools in a fast-growing startup environment.

## Job description

## About CodeRabbit

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 Do

Own Technical Hiring End-to-End

- Drive 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.

Source Where Others Don't Look

- 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.

Be a Strategic Partner to Technical Leaders

- 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.

Build a Recruiting Engine That Scales

- 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.

## What You'll Bring

- 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.

## About CodeRabbit

## Company Overview
- **One-liner**: CodeRabbit is an AI‑powered platform that automates the first pass of code reviews, providing context‑aware, human‑like feedback to help development teams ship faster and catch more bugs.
- **Entity Type**: Private (Series B; total funding $79.61M; last round $60M in October 2025)
- **Headquarters**: San Francisco, United States (also reported as Walnut Creek, California – conflicting reports)
- **Founded**: 2023
- **Founders**: Harjot Gill (CEO) is the primary founder; other co‑founders are not publicly disclosed.

## Core Business
- **Primary industries**: Software Development, AI‑powered Developer Tools
- **Target customers**: B2B, serving Engineering teams across SMB and Enterprise (15,000+ customers including The Economist, Life360, ConsumerAffairs, Hasura)
- **Mission / purpose**: “Revolutionize how code reviews are done” – enabling teams to move fast while maintaining code quality.

## Products & Services
- **CodeRabbit AI Review (SaaS / API)**: An AI‑powered code review agent that integrates with GitHub, GitLab, and other platforms. It provides line‑by‑line feedback, code suggestions, architectural diagrams, unit‑test generation, docstring creation, and a “Chat with CodeRabbit” feature. Supports custom guidelines, path/AST‑based instructions, and learns from developer feedback (“Learnings”).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: **Total Funding** – $79.61 million raised (Series B led by Scale Venture Partners at $60M, October 2025)
- **Notable Investors / Partners**: Scale Venture Partners (lead, Series B), CRV (lead, Series A), Engineering Capital, Harmony Partners, NVentures (NVIDIA), and 8+ other investors.
- **Growth Signals**:
  - Headcount: 154 employees, **+363.6% year‑over‑year**.
  - Customer base grew to 15,000+.
  - SOC 2 Type II certified; GDPR compliant.
  - Acquired FluxNinja in 2024.
  - Claimed as “Most installed AI App” (quote attributed to Jensen Huang, NVIDIA CEO) on homepage.
  - Active job postings: **39** (yearly increase of +550%).

## Competitive Advantages
- **Continuous learning**: AI agent improves over time by incorporating developer feedback in natural language.
- **Deep context**: Uses Codegraph, MCP servers, linked issues (Jira, Linear), and web queries to understand dependencies across files.
- **Noise reduction**: 40+ linters and security scanners are integrated while false positives are filtered out.
- **Customizability**: Entire review workflow can be configured via a YAML file, including custom checks and coding guidelines.
- **Security‑first**: End‑to‑end encryption, zero data retention post‑review, independent SOC 2 Type II audits.

## Strategic Focus
- **Expand pre‑merge checks** and finishing touches (e.g., custom checks in natural language).
- **Deepen IDE & CLI integration** to review code even before PRs are created.
- **Enterprise growth**: Hiring senior sales roles (Enterprise AE, Sales Manager) and expanding into EMEA and APAC markets (e.g., South Korea).
- **Continuous improvement** of AI agent through user feedback and expanded external context sources.

## Why Work Here
- **Culture**: Described as fast‑paced, innovation‑driven, collaborative, and impact‑oriented. Values: fearless & innovative, persistent & passionate, impact‑driven.
- **Work model**: Hybrid/office‑first (San Francisco office with daily catered lunch); remote roles may be available for some positions.
- **Compensation & perks** (from careers page):
  - Unlimited PTO
  - Premium medical, dental, vision coverage
  - 401(k) for U.S. hires
  - Stock options (high growth potential)
  - Monthly commuter stipend
  - Learning & development stipend
- **Employee sentiment**: 3.8/5 on LinkedIn (11 reviews), with Compensation at 4.2, Career growth at 4.1, and Culture at 3.8.
- **Engineering culture**: Technical team makes up 28% of headcount; employees use and improve the AI tool themselves; strong emphasis on shipping fast without breaking things.

## Sources
1. [coderabbit.ai/careers](https://coderabbit.ai/careers)
2. [coderabbit.ai](https://coderabbit.ai/)
3. [cbinsights.com/company/coderabbit](https://www.cbinsights.com/company/coderabbit)
4. [linkedin.com/company/coderabbitai](https://www.linkedin.com/company/coderabbitai)
5. [jobs.ashbyhq.com/coderabbit](https://jobs.ashbyhq.com/coderabbit)

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