Greenhouse AI employee
A Superkind AI employee that creates candidates, reviews applications, prepares interviews, and coordinates onboarding steps inside Greenhouse. Message it in Teams or Outlook, it completes the work in Greenhouse and reports back with the result. Sensitive actions always wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Greenhouse AI employee?
A Greenhouse AI employee connects to your Greenhouse account and completes specific tasks there. It creates candidates, reviews applications, updates jobs, prepares interviews, and documents results. Superkind builds it with your company knowledge, recruiting rules, and templates so it delivers finished results wherever your team works.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right Greenhouse actions, chains them with your other systems, and asks for your approval before sensitive steps.
Greenhouse is a structured recruiting and onboarding platform for applications, jobs, interviews, scorecards, and offers.
You ask in Teams
Describe what you need for recruiting in plain English.
Superkind picks the actions
Selects the right Greenhouse actions and connects them with your systems.
Superkind works in Greenhouse
Reviews applications, maintains candidates, and prepares interviews. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Greenhouse?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Create Anna Weber as a candidate for Product Designer and add her resume, email address, and source.”
you, to @Superkind“Check the hiring team absences before interviews and give me three times when everyone is available.”
you, to @Superkind“Prepare onboarding in Greenhouse for the new employee with tasks, documents, and responsible contacts.”
you, to @Superkind“Let me know here as soon as a new application arrives, with job, source, and current application status.”
you, to @SuperkindHow does Superkind work with Greenhouse?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Greenhouse is connected with the required API permissions. Teams, Outlook, and the systems holding your recruiting documents are connected too. Superkind checks the connection and follows your access rules. Then you can assign tasks directly from Teams.
@Superkind please review the new Product Designer applications and create a candidate note for suitable profiles in Greenhouse.
On it. I am reviewing the new applications in Greenhouse and documenting the suitable profiles.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to review new applications in Greenhouse or prepare an interview plan. It understands the desired result and picks the required actions. It asks follow-up questions directly in Teams.
- 3 new applications reviewed
- Scorecards and resumes compared
- Candidate note created for Mia
Candidate note createdWaiting for your approvalReject Mia's application?3Superkind operates, you approve
Superkind reads the relevant data in Greenhouse and completes the agreed work. The result returns to Teams with the important details. Rejections, hires, and other sensitive changes wait for your approval. Every step is logged.
What can Superkind do in Greenhouse?
Ask in plain English from Teams or Outlook. Superkind picks the right Greenhouse actions, completes the work, and reports back. No workflows to build.
Search candidates
Finds candidates and prospects by name, email, job, tag, or update date.
Create candidate
Creates a candidate with contact details, source, resume, and responsible user.
Update candidate
Updates contact details, tags, and custom fields on the candidate profile.
Add candidate note
Adds a note with recruiting context to the candidate profile.
Anonymise candidate
Anonymises a candidate's personal data according to your retention rules.
List applications
Lists applications with job, application status, stage, source, and last activity.
Search applications
Finds applications by candidate, job, status, stage, or time period.
Move application
Moves an application to another stage in the same interview plan.
Reject application
Rejects an application with a rejection reason and optional candidate email.
Hire candidate
Marks an application as hired and records the start date and offer details.
List jobs
Lists open and closed jobs with department, office, recruiter, and status.
Create job
Creates a job with requisition ID, department, office, and job openings.
Show hiring team
Shows recruiters, coordinators, and hiring managers for a job with their roles.
Add hiring manager
Adds a hiring manager to a job with the intended responsibility.
Publish job post
Sets a job post to live and makes it visible on the job board.
List interviews
Shows scheduled interviews with candidate, interviewer, start time, and interview stage.
Schedule interview
Schedules an interview for an application with interviewers, time, and video conference link.
Get scorecards
Retrieves application scorecards with ratings, answers, and submission status.
Check interview plan
Shows the stages and interview steps for a job in their defined order.
List departments
Lists departments with Greenhouse ID, name, and parent department.
Create department
Creates a department with a name and optional parent department.
List users
Shows Greenhouse users with email, status, and permission level.
Create user
Invites a person as a Greenhouse user with email and permission level.
List offers
Lists offers with application, version, status, start date, and custom fields.
Update offer
Updates the current offer for an application with start date and offer fields.
List rejection reasons
Lists active rejection reasons with type and Greenhouse ID for correct assignment.
Superkind uses Greenhouse together with your other systems
Ask for outcomes across tools. The AI employee connects Greenhouse with communication, calendars, HR data, and documents and delivers one finished result.
Superkind AI employees that work with Greenhouse
Every role brings its expertise and uses Greenhouse as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Greenhouse.
Yes. Superkind connects Greenhouse through a managed connector. Your team can then ask the AI employee from Teams or Outlook to work with candidates, applications, jobs, interviews, and offers. Access is limited to the agreed tasks and Greenhouse areas. Results and follow-up questions return directly to the channel where the task began.
A Greenhouse admin creates a Harvest API key and enables only the required endpoints. Superkind stores the connection securely and tests it with you. We then define which tasks can run independently and which require approval. Your team can subsequently message the AI employee from Teams or Outlook without building a technical workflow.
It can search and create candidates, review and move applications, maintain jobs and hiring teams, prepare interviews, summarise scorecards, and coordinate offers and onboarding steps. The list above shows typical Greenhouse actions. What is available depends on your API permissions and agreed use case. Sensitive changes only run after approval.
No. With Zapier or Make, you define and maintain triggers, filters, and individual steps. With the AI employee, you simply describe the desired result in Teams or Outlook. Superkind picks the right Greenhouse actions, connects calendars, documents, or HR systems when needed, and asks when details are missing. Your team does not have to rebuild a rigid workflow when a case changes.
Only with your approval. Superkind can prepare applications, check rejection reasons, and assemble offer data. Actually rejecting an application, hiring a candidate, or making a sensitive change to an offer waits for a responsible person to approve it in Teams. Your team defines which Greenhouse actions are sensitive and who may approve them.
Superkind is hosted in the EU and we sign a GDPR data processing agreement. Greenhouse access receives only the minimum endpoint permissions needed for your use case. Your candidate data is not used to train models. All actions and approvals are logged so you can trace who initiated and confirmed each step.
Greenhouse offers paid Core, Plus, and Pro plans with custom pricing rather than a fixed public rate per user. Zapier starts at about 20 euros per month and Make at about 10 euros per month, both plus setup time and ongoing maintenance. Superkind is priced per use case, a fraction of a full-time role.