How Greenhouse Parsing Works
Greenhouse parses resumes to extract name, company history, and key skills for dashboard cards. However, unlike older legacy parsers, Greenhouse shows the original PDF file to recruiters side-by-side with the extraction. This means a clean visual design is just as important as keyword compliance.
⚠️ Critical Rejection Rules
- Ensure your primary contact parameters (email, phone, name) are formatted cleanly at the top.
- Use standard sans-serif typography like Inter, Roboto, or Arial.
✓ Layout Optimization Tips
- Optimize your document for human recruiters. Greenhouse displays your PDF layout directly in the reviewer screen.
- Structure experiences with standard bullet points to keep descriptions readable.
- Use clear file names: Firstname_Lastname_Resume.pdf.
Common Formatting Rejections
Ensure clean single-column spacing without nested objects.
Ensure clean single-column spacing without nested objects.
ATS-Compliant Resume Template
Use this raw linear text layout pattern to build a highly indexable CV:
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Frequently Asked Questions
No. Greenhouse does not have automated rejection filters. A human recruiter reviews every resume, using database queries to filter candidate lists by keywords.
No. Recruiters use database filters to search candidates by target skills.
Keep formatting strictly linear and text-based. Use standard font families (like Arial or Calibri), utilize standard section headings (such as 'Work Experience' and 'Education'), and avoid headers, footers, tables, or floating text boxes.
No. Greenhouse supports PDF files, provided they are text-based and copyable. However, if your PDF is exported as a flat image, the parser will not read any text, resulting in a blank profile. Word (.docx) format is also highly compatible.
Recruiters search the candidate database using boolean strings (e.g., 'React AND TypeScript'). The ATS scans the parsed text of your resume for exact keyword matches. Higher frequency and natural contextual placement of these keywords help you rank higher.