What can an AI agent do with Greenhouse?
Greenhouse is an applicant tracking system. Agents in sales recruiting read scorecards, nudge interviewers for missing feedback and draft hiring-committee summaries for a recruiter to review.
Which AI agent use cases work with Greenhouse?
3 use cases in this library work with Greenhouse, across Sales Recruiting, Prospecting / Outbound. The first ones to look at: Chase missing interview feedback and draft a hiring-committee summary; Turn a sales role scorecard into sourcing queries and draft outreach; A morning signal check on every target account, read by Claude Haiku. 2 of them are vendor-neutral reference setups, where Greenhouse is one of several interchangeable options. 3 of them include a copy-paste prompt.
Each entry explains what triggers the agent, which systems it reads from and writes to, the steps it follows, what it costs to run and the gotchas people hit. Every entry links to its original source, so you can read the full write-up before you copy a setup into your own Greenhouse account.
Browse by category: Sales Recruiting, Prospecting / Outbound.
After a candidate's interviews, this agent reminds interviewers who have not submitted feedback, then drafts a summary of the evidence for the hiring manager and recruiter. Hiring debriefs start from complete, organized feedback.
Works with any of GreenhouseLeverAshby +5
- Sales Recruiting
- beginner
- Reference setup
When a sales role opens, this agent turns the job's scorecard into candidate searches, summarizes the best matches and drafts outreach for a recruiter to approve. Recruiters spend less time on first-pass sourcing.
Works with any of GreenhouseLeverAshby +4
- Sales Recruiting
- intermediate
- Reference setup
Every morning this open-source script checks each target company's job board, website and news for changes, names any buying signal with a quote and link, and ranks who to contact first. It never sends anything.
Works with GreenhouseLeverAshby
- Prospecting / Outbound
- intermediate