Tech and startup applicants
Greenhouse is popular with tech companies and scale-ups. If you are applying to engineering, product, or data roles, Greenhouse likely parses your resume.
Greenhouse is the ATS behind many tech companies. It parses standard resumes well but rewards keyword relevance because recruiters search within it. Check your resume against a job description — free, no sign-up.
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Nothing is uploaded or stored — the analysis runs entirely in your browser. For a deeper ATS score and rewrite help, upload your resume to the full analyzer.
Paste a job description to begin
You'll get the ranked keywords the role is screening for, grouped by type — plus your match score if you add your resume.
Greenhouse is common at tech companies and supports recruiter keyword search. Even with a clean parse, you only surface in searches if your resume uses the role-specific terms from the job post.
Greenhouse is relatively forgiving with standard single-column resumes, but multi-column layouts and tables still cause issues. Clean structure plus relevant keywords is the winning combination.
Paste the job description, find the keywords Greenhouse recruiters will search for, and add the relevant ones where they fit your real experience.
Use these pages to keep moving through the same topic cluster instead of bouncing back into generic advice.
Greenhouse is popular with tech companies and scale-ups. If you are applying to engineering, product, or data roles, Greenhouse likely parses your resume.
A clean parse is not enough in Greenhouse — recruiters search by keyword. If you are not getting responses, missing keywords may be why.
The keyword check shows exactly which terms to add for each specific Greenhouse job post.
Step 1
Add your PDF or DOC. The free checker extracts text the way Greenhouse parses it, so you see what the system actually reads.
Step 2
Check which sections parsed cleanly, which contact details survived, and which role keywords are present or missing.
Step 3
Resolve parse-breaking formatting first (columns, tables, header/footer contact info), then close keyword gaps against the job description.
Step 4
Run the check again to confirm your resume now reads cleanly for Greenhouse and the recruiter who reviews the shortlist.
Greenhouse recruiters at tech companies search for specific technology names, not categories. "React" and "Next.js" surface in searches; "frontend frameworks" does not. Go through your experience and skills sections and replace every category description ("modern JavaScript frameworks", "cloud platforms") with the actual tool names that appear in the job description.
Greenhouse parses your work history and ranks candidates based on recency and role relevance. If your most recent role is buried in a two-column layout or if the job title is formatted ambiguously, Greenhouse may not correctly identify it as your current or most recent position. Keep your most recent role clearly first, with a standard job title and company name on separate or clearly delimited lines.
The required skills section of the job description maps most directly to what Greenhouse recruiters search for when reviewing the candidate pipeline. Every required skill that you genuinely have should appear in your resume using the same terminology used in the posting. Optional or preferred skills are secondary — close required skill gaps first.
Greenhouse surfaces in candidate search, and recruiters read the actual resume text. Keywords that appear too frequently or in an obviously artificial pattern — a list of 30 skills with no context, or every bullet including the same phrase from the job description — flag the resume as keyword-optimized rather than evidence-based. Keep keyword additions natural and embedded in context that demonstrates actual use.
In Greenhouse candidate search, recruiters type the exact tool name — "Kubernetes", "dbt", "Figma" — not a category like "containerization tools" or "data transformation". Generic category names in your resume do not match these searches. Every technical skill you have should be named specifically, not summarized into a category, especially in the skills section where search matching is strongest.
Greenhouse is used across many different companies with different tech stacks and role focuses. A resume optimized for a Greenhouse application at a fintech company may score poorly on a Greenhouse search at a B2B SaaS company because the vocabulary differs. Run a keyword check against each specific job description rather than treating a single "Greenhouse-optimized" resume as universally competitive across all Greenhouse applications.
Some Greenhouse configurations include AI scoring features that evaluate candidates beyond exact keyword matching. However, this AI augments the recruiter's search — it does not replace it. Recruiters still search by specific terms, still filter by required qualifications, and still review the resume text. The AI scoring is an additional layer, not a substitute for having the right keywords in the right context.
Next Step
Use the free analyzer to get your ATS score, then move into job match, rewrite, and cover letter workflows when you are ready to tailor applications faster.