Staff GTM Systems Engineer

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.

At CodeRabbit, our agents already write, review, and ship our Salesforce and internal tooling code. A Linear label or Slack emoji starts a pipeline: an agent plans the change, a human approves, the agent builds and tests it in a sandbox and opens a pull request, a second model reviews it, and guard hooks stop anything that could hurt production. This is our GTM Systems harness. We're looking for a Staff GTM Systems Engineer to own it and to architect the systems it builds: the pipeline generation, quote-to-cash, provisioning, and billing integrations behind a company growing from PLG into enterprise sales, and the internal tools our GTM teams run on. You'll be the senior technical voice in Business Systems, setting the patterns that engineers, analysts and agents all follow.

• Own and evolve the agentic engineering harness: the Agent Build pipeline, guard hooks, worktree tooling, CI, model routing and the permission tiers that keep agents safe around production.

• Design and build internal tools and agents as full-stack applications (TypeScript, Next.js, Postgres, MCP servers) where off-the-shelf software falls short.

• Build in Salesforce at a deep level: Apex service and selector patterns, triggers, LWC, Platform Events, permission sets and the metadata deployment model.

• Set the engineering standards for Business Systems: architecture reviews, code review, testing, release and production runbooks, and how agent-written work gets reviewed and shipped.

• Give the analysts and engineers on the team the platform to build their own agents, such as the Sales OS Agent and Data Quality Agent.

• Partner with Finance, GTM, Deal Desk, and the Data teams to turn ambiguous business needs into systems that hold up at the next stage of scale.

• Raise the technical bar across the team through pairing, reviews and design docs, and reduce our dependence on outside consultants over time.

• Deep, hands-on Salesforce engineering: Apex, LWC, data modeling, sharing and security, and source-driven deployment with the Salesforce CLI.

• Strong full-stack software engineering beyond Salesforce, with production web apps, APIs and databases you have built and run.

• Real experience building with agentic coding tools such as Claude Code or Codex, including the guardrails that make agent output safe to ship: tests, CI gates, review, and scoped permissions.

• A track record integrating GTM systems end to end, such as CRM to billing, CPQ, provisioning, the data warehouse and reverse ETL, pipeline generation workflows.

• Staff-level judgment: you have owned architecture across systems you did not build, made decisions with teams that do not report to you, and changed how a team works.

• Clear writing. Your design docs, PR descriptions and runbooks let others act without a meeting.

• At least 7+ years of Salesforce and full-stack engineering.

• Production experience with Python, TypeScript and Next.js.

• Experience with Chargebee, Stripe, Zuora or another subscription billing platform, including usage-based or marketplace billing (AWS, GCP, GitHub Marketplace).

• Experience building MCP servers, LLM evaluations, or human-in-the-loop approval workflows for agents.

• Experience with BigQuery, dbt, Clay, or event-driven integration patterns.

• Familiarity with developer-tools or technical B2B SaaS go-to-market, including a PLG to sales-led transition.

Target salary for this role is $210k-$270k, plus equity. Actual salary will be based on candidate skills, experience and location.