An AI agent for your Greenhouse hiring pipeline.
Connect Greenhouse and an OpenHelm agent can keep hiring moving between syncs: summarising pipeline health, nudging interviewers on overdue scorecards, and researching candidates and sourcing targets with a real browser, all on a recurring schedule.
Recurring jobs
What an OpenHelm agent can do with Greenhouse.
Each of these runs as a scheduled, self-correcting job: you describe it in plain English, approve the plan once, and an independent evaluator checks every run against the goal.
Weekly pipeline digest
Summarise candidates by stage per role, time-in-stage outliers and offer status into one email before the hiring sync.
Stuck-candidate nudges
Flag candidates waiting too long on feedback or scheduling and prompt the responsible interviewer or coordinator by email.
Candidate research briefs
Before onsites, compile a short public-profile brief for each candidate from open web sources, cited and fabrication-free.
Sourcing long-lists
Research potential candidates matching a role brief into a data table for recruiters to review before anyone is contacted.
Get started
Connect Greenhouse in minutes.
- 1
Connect Greenhouse
Add Greenhouse under Connections in the OpenHelm app and paste a scoped API key, or provision it programmatically with POST /v1/connections.
- 2
Describe the job in plain English
Tell OpenHelm what you want done and how often. It drafts a plan with a schedule, the tools it will use, and a clear definition of done.
- 3
Approve the plan
No job fires until you have reviewed the plan. Set the autonomy level to control whether writes execute directly or queue for your approval.
- 4
It runs, self-checks and reports
Runs execute in isolated cloud sandboxes on schedule. An independent evaluator scores each run against the goal, and results arrive as logs, emails or data-table rows.
For developers
Or provision the connection over the API.
curl https://api.openhelm.ai/v1/connections \
-H "Authorization: Bearer oh_live_..." \
-H "Content-Type: application/json" \
-d '{ "name": "Greenhouse", "type": "token", "secret": "<your Greenhouse API key>" }'
# secret is write-only: stored encrypted, injected only at run timeThe same connections back runs started over REST. See the AI agent API and the Connections API docs.
Related ways to put agents to work with Greenhouse:
Common questions about the Greenhouse integration
Hiring
More integrations in this category.
Put an agent to work in Greenhouse this week.
Connect once, describe the job, approve the plan. From then on it runs on schedule, checks its own work, and reports back with evidence.