---
title: "Greenhouse Integration for Rig: Query Greenhouse Data in Plain English"
description: "Connect Greenhouse to Rig and query your Greenhouse data in plain English, or ask it in Claude, ChatGPT and Cursor. Governed, validated answers from your warehouse."
canonical: "https://rig.so/integrations/greenhouse"
format: markdown
---

Browse integrations

![Greenhouse logo](https://img.logo.dev/greenhouse.io?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=112&format=png&retina=true)

People & operations Supported

# Greenhouse integration for Rig

## The easiest way to connect Greenhouse to Claude and other AI tools

Greenhouse is an applicant tracking system used to run hiring pipelines, from job postings through interviews and scorecards to offers.

[Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo)

## What Rig syncs from Greenhouse

Once connected, Rig models these objects so questions resolve to the right tables and joins:

- Candidates
- Applications
- Jobs
- Offers
- Scorecards
- Interviews
- Users
- Departments
- Offices

## How Greenhouse connects to Rig

Give Rig a Greenhouse Harvest API key. Rig syncs candidates, applications, jobs, offers, scorecards, interviews, users, departments and offices into your warehouse, where hiring data joins to the headcount and cost data it drives.

## Measure the hiring funnel end to end

Conversion between hiring stages is the thing every hiring review asks about and the thing spreadsheets answer worst. With applications and their stage history in the warehouse, funnel conversion, time in stage and drop-off are queries you can run per role, per team and per period.

Ask Rig

- What is our application to offer conversion rate by role?
- Where do candidates drop out of the process most often?
- How long does each stage take, and which stage is slowest?

## Compare sourcing channels honestly

Every source looks good on volume. Rig lets you follow candidates from source through to offer and hire, so channels can be judged on hires and quality rather than on applications received.

Ask Rig

- Which sources produce candidates who actually get hired?
- What is the cost per hire by source?
- Which channels send high volume but low pass-through?

## Connect hiring to headcount and spend

Hiring plans are financial commitments, but the ATS and the ledger rarely meet. Once Greenhouse sits beside finance data in the warehouse, planned hires, offers out and actual payroll cost can be compared against the plan in one place.

Ask Rig

- How does actual hiring compare with plan by department?
- What committed cost is represented by outstanding offers?
- Which teams are behind on hiring against budget?

## Ask your Greenhouse data in Claude, ChatGPT or Cursor

Rig serves your Greenhouse data to AI assistants over MCP. Once Greenhouse is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL.

- [Claude](https://rig.so/integrations/claude)
- [Claude Code](https://rig.so/integrations/claude-code)
- [Cursor](https://rig.so/integrations/cursor)
- [ChatGPT](https://rig.so/integrations/chatgpt)
- [Codex](https://rig.so/integrations/codex)
- [Gemini](https://rig.so/integrations/gemini)

## Frequently asked questions

What does Rig sync from Greenhouse?

Candidates, applications, jobs, offers, scorecards, interviews, users, departments and offices, via the Harvest API.

Can I analyse interviewer feedback?

Yes. Scorecards and interviews come across, so feedback patterns and interviewer consistency can be examined alongside outcomes.

What do I need to connect Greenhouse?

A Greenhouse Harvest API key with read access to the objects you want.

Is candidate data handled carefully?

It lands in your own warehouse under your own access rules, and Rig enforces role-based access on every query, so hiring data can be restricted to the people who should see it.

## Related integrations

[![Sumsub logo](https://img.logo.dev/sumsub.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)SumsubKYC and KYB applicant status, data-minimised by design.](https://rig.so/integrations/sumsub)

## Connect Greenhouse data to AI tools like Claude

Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust.

[Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo)

---

- [This page as HTML](https://rig.so/integrations/greenhouse)
- [Site map for language models](https://rig.so/llms.txt)
- [API and agent documentation](https://rig.so/developers)