Greenhouse is a structured-hiring applicant tracking system: a hiring team defines a role’s requirements and the attributes of a strong candidate before the job posts. On the Plus and Pro plans, a feature called Talent Matching "compares candidate resumes against your defined and weighted calibration," in Greenhouse’s own words. A calibration is the weighted rubric the hiring team sets up in advance; Talent Matching scores each incoming resume against it.
Two more AI features layer on top. AI-generated scorecard attributes, in Greenhouse’s words, "quickly create scorecard attributes based on the job title, description, and any existing attributes." A separate Keyword Suggestions feature filters application review "to the most qualified candidates based on specific criteria," powered by AI. Greenhouse’s documentation describes what each tool does; it does not describe any of them auto-rejecting a resume, and our own reading of the mechanism is that a recruiter still works the pipeline these tools organize.
Greenhouse's own documentation is the source for everything above: it states what the software can do. It does not, and cannot, state which calibration a specific employer set, how they weighted it, or which attributes they chose to score on. That configuration lives inside the employer's own Greenhouse account. No tool on the internet can see it, including this one.
A calibration is built from the job posting, so the posting is the closest public proxy for it that exists. Mirror its stated priorities, in roughly the order it states them, using close-to-matching language rather than a generic list of skills pulled from elsewhere. If a requirement leads the posting, answer it early and specifically on the resume.
Because scorecard attributes and Keyword Suggestions are both built from the posting’s own named criteria, name the competency directly rather than only describing a task. "Built and owned a cross-functional planning process" resolves against a named attribute; "worked with stakeholders" does not.
Not by default. Greenhouse’s documentation describes Talent Matching as scoring resumes against a hiring team’s weighted calibration, and Keyword Suggestions as filtering to the most qualified candidates by specific criteria. Scoring and filtering are not the same as an automatic rejection: as we read the mechanism, a human still reviews the pipeline these tools organize. There is no publicly documented Greenhouse feature that silently discards a resume below a threshold.
It is a rubric a hiring team builds before a role opens: the qualities that matter for the job, and how much each one counts. Greenhouse's Talent Matching feature, on its Plus and Pro plans, scores incoming resumes against that calibration. The calibration itself, what an employer weighted and how, is set inside that employer's own account and is not visible outside it.
Talent Matching, the weighted-calibration resume scoring feature, is available on Greenhouse's Plus and Pro plans, per Greenhouse's own support documentation. Scorecard-attribute suggestions are available more broadly. Which plan a given employer runs is not something a candidate can see from the outside; the plan tier is Greenhouse's own account setting, not a public fact about the job posting.
Related: every platform in this hub, how Lever screens a resume, how Ashby screens a resume.
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