About CodeRabbit

CodeRabbit is the governance and control layer for agentic software development, helping engineering teams trust the code they ship. AI can generate code faster than people can review and understand it. Teams still need to know whether each change solves the right problem, fits their architecture, and is safe to ship.

We provide independent validation grounded in codebase context and team standards, giving people the evidence they need to judge what should ship. Across Review, Triage, Explain, and Secure, our platform challenges changes before merge, prioritizes pull requests by value, impact, and risk, explains what changed and why it matters, and monitors the codebase for security vulnerabilities after merge.

CodeRabbit serves nearly 20,000 customers and supports approximately 300,000 open-source repositories, performing over 2 million code reviews each week. Our $143M Series C, raised at a $1.5B valuation, supports further product development and international expansion.

Location: Open to Remote USA, but San Francisco, CA is preferred (hybrid)

Role Overview

CodeRabbit grew to $100M in just over a year, and growth is accelerating. In response to this marketing demand, we are building out a world-class marketing function made up of top talent with the budget and authority required to win. As part of that, we're hiring our first Head of Marketing Operations to turn our early GTM work into a world-class, AI-led marketing operations function.

You'll design how marketing operations should work at an AI-first company, including helping to shape marketing processes and methodologies, and architecting the data, systems, and tooling required to help both our self-service and sales-led businesses scale quickly. You won't have to start from scratch. We already have an extensive catalog of agentic marketing capabilities, advanced marketing analytics and modeling infrastructure, and advanced models powering lead scoring and enrichment. Today these pieces stand apart. You'll own them, maximize our investments, and create what comes next.

Key Responsibilities

• Define the vision, structure and methodology for an AI-led marketing operations function

• Own marketing systems, data, tooling and operations end to end, across both sales-led and self-service business lines

• Help build and run agents that automate and scale marketing workflows

• Unify our existing content, event management, paid media, analytics, scoring, and enrichment agentic infrastructure

• Assess the current stack and decide what to keep, replace or build

• Own data flows and integrations, including ETL, event tracking and the warehouse

• Select and manage vendors

• Partner closely with RevOps, data, engineering and campaign owners

Qualifications

• Deep experience in marketing operations, including data, systems, process and vendor management

• Hands-on and technical: comfortable prompting and building your own agents in Claude, Codex or similar tools

• Strategic and creative, thinking in systems and methodology, not just shipping deliverables

• A builder who can solve problems with agents and automation

• Strong analytical skills and comfort working directly with data

• Comfortable operating at the pace of a hyper-growth AI company

• Bring passion, initiative, intelligence and integrity to your work

Nice to Have

• Experience building GTM engineering or agentic workflows at an AI-native company

• Experience marketing developer tools

• Experience with both product-led and sales-led motions

Our Values

• Collaborative Humans: Prioritizing collective intelligence

• Fearless Innovators: Turning obstacles into growth opportunities

• Persistent Passionate Developers: Thriving on complex, long-term challenges

• Impact-Driven Creators: Crafting intuitive tools for developers

• Rapid Learners and Un-learners: Adapting quickly in our fast-paced technological world

What We Offer

• Carte blanche to build the most innovative AI-centered marketing operations function at one of the fastest-growing AI companies in the world

• The chance to learn AI from some of the best engineers building it

• The opportunity to learn from executives who have already built and scaled massively successful companies

• Collaborative and innovative environment

• Competitive salary, equity, and benefits

• Professional development opportunities