Dataleap is an AI-powered workflow automation platform that enables teams to build and run intelligent agents to automate complex business processes across their software tools.
Dataleap's integration with Greenhouse Recruiting allows users to automate recruiting workflows, including creating and updating candidates, managing applications through hiring stages, creating offers, and pulling reporting data from jobs, interviews, and scorecards, all orchestrated by AI agents.
Configure the Dataleap integration
Go to dataleap.ai and log in to your account
Open an agent or create a new one
In the chat, ask the agent to connect to Greenhouse, or click Supported Apps in the right sidebar and select Greenhouse
A connection request card will appear showing the Greenhouse tools and permissions being added
Click Connect. A popup window will open with the Greenhouse OAuth authorization screen
Review the requested permissions and authorize Dataleap to access your Greenhouse Recruiting data
The popup will close and the connection will show as active in Dataleap. The agent can now use Greenhouse tools
Fields added or edited by the integration
The Dataleap integration creates and edits the following Greenhouse data:
-
Candidates (create and update):
first_name,last_name,preferred_name,company,title,private,time_zone,email_addresses,phone_numbers,addresses,website_addresses,social_media_addresses,tags -
Applications (create):
candidate_id,job_id,source_id,prospect -
Applications (hire):
start_date,opening_id,converted_prospect -
Applications (reject):
rejection_reason_id,notes,rejected_at -
Applications (move stage):
stage_id,job_id -
Offers (create):
application_id,start_date,opening_id
All other data accessed by the integration (jobs, interviews, scorecards, notes, users, departments, offices, sources) is read-only.
Use the Dataleap integration
After connecting Greenhouse, users create AI agents in Dataleap that automate recruiting workflows. The user describes the desired workflow in natural language, and the agent executes the steps using Greenhouse tools.
To use the integration
- Open an agent in Dataleap
- Ensure the Greenhouse connection is active (visible under Connected Apps in the right sidebar)
- Type a natural language instruction describing what you want to do, for example: "Create a candidate named Ruth Rodriguez with email ruth@example.com and apply her to the Technical Support Specialist job"
- The agent will call the appropriate Greenhouse tools and return the results
Create a candidate and submit an application
- Tell the agent the candidate's details (name, email, phone, etc.)
- The agent creates the candidate in Greenhouse using the Harvest v3 API
- The agent looks up the target job and submits an application linking the candidate to that job
- The candidate and application appear in your Greenhouse pipeline
Advance or reject applications
- Ask the agent to move a candidate to a specific stage, e.g. "Move Ruth Rodriguez to the Phone Screen stage for the Technical Support Specialist role"
- The agent finds the application, looks up the target stage, and moves it
- To reject, tell the agent a rejection reason and the application will be marked as rejected in Greenhouse
Hire a candidate and create an offer
- Ask the agent to create an offer for a candidate, e.g. "Create an offer for Ruth Rodriguez on the Technical Support Specialist role with a start date of May 1, 2026"
- The agent creates the offer on the application
- Ask the agent to mark the application as hired
Review hiring pipeline data
- Ask the agent to pull data, e.g. "List all open jobs in the Engineering department" or "Show me the scorecards for Ruth Rodriguez"
- The agent retrieves the data from Greenhouse and presents a summary
Additional resources
For additional information not covered here, reach out to integrations@dataleap.ai.