Does Greenhouse automatically reject resumes?

Greenhouse does not publish a universal automatic rejection formula. Treat the public evidence as parsing and review workflow guidance, not a pass/fail guarantee.

What should I check before applying through Greenhouse?

Check that your text is selectable, standard headings are clear, and your real skills match the job language without keyword stuffing.

Greenhouse Software · official source · noindex

Greenhouse resume parser notes

Greenhouse publicly documents AI features that can summarize scorecards, suggest keywords, compare candidate resumes against weighted calibration, and anonymize resume content.

Last verified 2026-06-29. Verified:false because public effective dates and proprietary parser rules remain incomplete.

What is public

Greenhouse documents several AI features and names the data in scope for each feature.
Talent Matching is described as comparing candidate resumes against weighted calibration.
Keyword suggestions are described as helping filter application-review results based on job post data.

What is not public

Greenhouse does not publish a candidate-facing pass/fail resume score formula.
The exact parser weighting for every employer configuration is not public.
The public AI features page does not provide an effective date for every feature row.

Parser notes

Use plain section headings and text-layer resume files so candidate data can be extracted and reviewed.
Do not hide important evidence in images, headers, footers, or decorative layouts.
Mirror the job's real skills and title language, but only where the experience is true.

Greenhouse Support - AI features

Format do

Use a text-based PDF or DOCX with selectable text.
Keep contact information, skills, experience, education, and certifications under standard headings.
Review the parsed profile after upload whenever the employer portal allows edits.

Format don't

Do not submit a scanned-image resume unless OCR has created a reliable text layer.
Do not keyword-stuff hidden text or white text.
Do not rely on tables, text boxes, or icon-only skill bars for core qualifications.

Public change log

2026-05-21 · official

Greenhouse AI features page lists Talent Matching, keyword suggestions, and resume anonymization

Before: Public candidate-facing guidance often treated Greenhouse as a simple keyword parser.

After: Greenhouse's support page documents resume-aware AI features and names resume/job-post data as in scope for some features.

Greenhouse Support - AI features

Run a resume scan

Check keyword fit and readability locally in the browser.

Check text extraction

Make sure the resume text can be selected and read.

Compare to the JD

Match real skills to the target job description without stuffing.

Greenhouse Software · official source · noindex

Greenhouse resume parser notes

Greenhouse publicly documents AI features that can summarize scorecards, suggest keywords, compare candidate resumes against weighted calibration, and anonymize resume content.

Last verified 2026-06-29. Verified:false because public effective dates and proprietary parser rules remain incomplete.

What is public

Greenhouse documents several AI features and names the data in scope for each feature.
Talent Matching is described as comparing candidate resumes against weighted calibration.
Keyword suggestions are described as helping filter application-review results based on job post data.

What is not public

Greenhouse does not publish a candidate-facing pass/fail resume score formula.
The exact parser weighting for every employer configuration is not public.
The public AI features page does not provide an effective date for every feature row.

Parser notes

Use plain section headings and text-layer resume files so candidate data can be extracted and reviewed.
Do not hide important evidence in images, headers, footers, or decorative layouts.
Mirror the job's real skills and title language, but only where the experience is true.

Greenhouse Support - AI features

Format do

Use a text-based PDF or DOCX with selectable text.
Keep contact information, skills, experience, education, and certifications under standard headings.
Review the parsed profile after upload whenever the employer portal allows edits.

Format don't

Do not submit a scanned-image resume unless OCR has created a reliable text layer.
Do not keyword-stuff hidden text or white text.
Do not rely on tables, text boxes, or icon-only skill bars for core qualifications.

Public change log

2026-05-21 · official

Greenhouse AI features page lists Talent Matching, keyword suggestions, and resume anonymization

Before: Public candidate-facing guidance often treated Greenhouse as a simple keyword parser.

After: Greenhouse's support page documents resume-aware AI features and names resume/job-post data as in scope for some features.

Greenhouse Support - AI features