Talent Matching
scores each applicant’s resume against the skills and experience the hiring team asks for
Compares each candidate’s resume against a calibration the hiring team sets up — the skills and experience it weights — and shows a match score and the relevant skills it found. Greenhouse: “Using AI and your defined calibration criteria, it highlights relevant skills (including industry experience), provides match scores, and makes it easier to find qualified candidates.” Greenhouse also says: “Talent Matching is assistive AI, not automated-decision-making.” Candidates can be offered an AI opt-out, which a Site Admin turns on in Talent Matching settings.
Talent Matching assistant
turns a plain-language description of the ideal candidate into match settings and filters
Drafts the Talent Matching calibration and the candidate filters for a job from a description typed in plain words, starting from the job post and scorecard already set up. Greenhouse: “Describe the kind of talent you're looking for, and the assistant drafts a calibration and a set of filters for you to review, so you don't have to piece together every setting yourself.”
Keyword suggestions
suggests search keywords from the job to filter applicants
Suggests keywords taken from the job content to use when searching and filtering applicants in application review. Greenhouse: “AI-powered keyword suggestions help you build stronger searches and filters directly from your job content.”
Resume anonymization
blurs identifying details on resumes during application review
Blurs identifying information on candidates’ resumes in the Application Review and Hiring Manager Review stages. Greenhouse: “Greenhouse's resume anonymization feature uses AI to assess a candidate's resume and blur certain pieces of identifying information to help improve your hiring practices.” On the Pro tier.
Scorecard summaries
summarises interviewers’ scorecards on a candidate
Summarises the written feedback in the interview scorecards submitted on a candidate, for the hiring team’s roundup. Greenhouse: “Summaries are based solely on the written content in each scorecard.”
Refine scorecard text
rewrites an interviewer’s scorecard answer for grammar and clarity
Rewrites an interviewer’s scorecard answer before it is submitted. Greenhouse: “When refining text, the tool corrects grammar errors, enhances clarity, and ensures consistent formatting.”
- Where to check the switch
- No switch found — look in your Greenhouse settings or ask your administrator
Interview question suggestions
drafts interview questions from the job
Drafts interview questions from the job’s attributes and description. Greenhouse lists it on its AI features page: “Generate interview questions based on the job’s attributes and description.” Available on all tiers.
- Where to check the switch
- No switch found — look in your Greenhouse settings or ask your administrator
Scorecard attribute suggestions
suggests the qualities to score candidates on
Suggests the attributes interviewers score candidates on, from the job title, description and existing attributes. Greenhouse: “Suggestions are generated based on the job title, job description, and any existing attributes.”
- Where to check the switch
- No switch found — look in your Greenhouse settings or ask your administrator
Job notes summarization
summarises the hiring team’s notes on a job
Writes a summary of the notes the hiring team has posted on a job. Greenhouse: “When there are a lot of job notes and you need to get up to speed quickly, you can use AI to help create a summary of all the notes that have been posted by your team so far.” Private notes are left out.
Job post description suggestions
writes a job advert from a few details
Drafts a job post description from a few details about the role. Greenhouse: “Add a few details about the role, like the title, qualifications, or key responsibilities, and AI will generate a job description you can customize to fit your needs.”
Email generator
rewrites email templates to candidates and the hiring team
Rewrites highlighted text in email templates for candidates and the hiring team. Greenhouse: “Email generator uses AI to streamline and fine-tune email templates for candidates and your hiring team.” A version also drafts Sourcing Automation campaigns.
- Where to check the switch
- No switch found — look in your Greenhouse settings or ask your administrator
Sourcing Automation campaign creation
drafts an outreach campaign to potential candidates
Drafts a whole outreach (engage) campaign to prospective candidates from a few details such as the job, number of steps and tone; each AI step must be approved before it is sent. Greenhouse: “An engage campaign - including any relevant introduction information, tokens, or other standard details, will be automatically generated for you.” Needs the Sourcing Automation add-on.
- Where to check the switch
- No switch found — look in your Greenhouse settings or ask your administrator
Resume personalization token
writes details from a prospect’s resume into outreach emails
Fills outreach messages with details taken from each prospect’s resume. Greenhouse: “When a message contains a resume personalization token, the system automatically reviews your message, assesses the prospect's resume, finds relevant information and inserts it into your message automatically.”
Prospect response review
reads replies from prospective candidates and marks the interested ones
Reads prospects’ email replies to outreach and tags those it judges interested. Greenhouse: “While they can be assigned manually, prospect response review uses AI to scan incoming prospect emails and automatically mark prospects as interested based on their response.”
Report filter suggestions
suggests report filters from a typed request
Suggests filters for a report from a request typed in plain words. Greenhouse: “Instead of starting from scratch, Greenhouse can suggest relevant filters based on a prompt from you.”
Offer forecast
predicts when a job’s offer will be accepted and the new hire will start
Predicts, for each job, when an offer is likely to be accepted and when the new hire is likely to start. Greenhouse: “Offer forecast uses machine learning from the recruiting process to make a prediction for each job about when an offer might be accepted and when a new hire's start date might begin.”
- Where to check the switch
- No switch found — look in your Greenhouse settings or ask your administrator
Greenhouse Notetaker
records and transcribes interviews and drafts notes for the scorecard
Joins interviews on Zoom, Google Meet or Microsoft Teams, records and transcribes them, and writes notes against each scorecard question plus an interview summary; the candidate must consent to recording. Greenhouse: “Greenhouse Notetaker helps interviewers stay focused by automatically recording interviews and generating AI-powered notes and summaries.”
Candidate Insights Assistant
answers questions about one candidate from their Greenhouse record
Answers questions typed in plain words about one candidate, from that candidate’s data in Greenhouse. Greenhouse: “The Candidate Insights Assistant lets you ask natural-language questions about a candidate and get instant answers drawn from that candidate's Greenhouse data — application history, scorecard feedback, stage timing, offer and salary details, and more.” Greenhouse says it does not advance, reject or rank candidates. Open beta.
Voice AI
holds spoken screening interviews with candidates and scores their answers
Runs live voice screening interviews with candidates and scores each answer against the hiring team’s rubric; it also flags possible fraud and cheating, and Voice AI customers can advance or reject candidates from it. Greenhouse: “Voice AI conducts live, two-way voice screening interviews with candidates and scores every response against your rubric.”
- Where to check the switch
- No switch found — look in your Greenhouse settings or ask your administrator
