Greenhouse

Greenhouse is the dominant ATS in tech and startups. Unlike most platforms, it does NOT auto-score or auto-reject candidates. It’s built around structured human review with scorecards.

Key Facts

Attribute	Value
Vendor	Greenhouse
Market Share	Tech & startups
Parser	LLM-based (most modern)
Keyword Strategy	Semantic (LLM-based)
Strictness	Low
Auto-Reject	No (by design)

Parsing Behavior

Greenhouse recently transitioned to an LLM-based parser:

• Most modern parser of any major ATS. Uses large language models for extraction.
• Handles creative formats better than any other platform. Tables, columns, and graphics don’t break it.
• Deep semantic understanding. Can infer skills from context even if not explicitly listed.
• No automated scoring or ranking. Every resume gets human eyes.
• Structured scorecards are the primary evaluation mechanism. Interviewers rate candidates on predefined criteria.

Scoring Weights

Since Greenhouse doesn’t auto-score, our simulation reflects how well your resume presents to human reviewers using the platform:

Dimension	Weight	Why
Formatting	10%	LLM parser handles anything
Keyword Match	20%	Semantic, very forgiving
Section Completeness	15%	Helps reviewers navigate
Experience Relevance	35%	Humans focus on this
Education	20%	Reviewed manually

Tips for Greenhouse

1. Focus on storytelling. Since humans review every resume, compelling narratives matter more than keyword stuffing.
2. Quantify impact with specific numbers. Reviewers using scorecards look for evidence.
3. Tailor your summary/objective to the company. Greenhouse reviewers read more carefully than automated systems.
4. Creative formatting is okay here (unlike Workday/Taleo), but don’t overdo it.
5. Highlight culture fit signals. Greenhouse companies value team dynamics.

Note

A low Greenhouse score from ATS Screener is less concerning than a low Taleo or Workday score. Greenhouse doesn’t filter you out automatically. The score reflects how well-presented your resume is for human reviewers.