ATS Platform Guide
How Lever ATS Reads Your Resume — and How to Pass It
Lever is a popular ATS for mid-stage companies. Its parser is similar to Greenhouse but with different field mapping.
What is Lever?
Lever's parser focuses on extracting candidate-profile fields and surfacing them to recruiters. It handles standard formatting well but struggles with the same multi-column issues as other engines.
Companies using Lever
- Mid-stage tech companies
- Series B-D startups
- Some agencies and consulting firms
How Lever parses your resume
Extracts to candidate profile fields
Lever maps to: Name, Email, Phone, Headline, Education (school + degree), Experience (title + company + dates). Each field is required for a complete profile.
Skills extraction is keyword-based
Lever extracts skills by matching against an internal dictionary of common technical and business skills. Your skills section should use standard terms (e.g., 'Python' not 'Python programming').
Common Lever parsing failures
Headline extraction fails on creative formatting
Lever expects a tagline-style headline near the top. If your title is buried inside the summary or styled unusually, it may not populate.
School name extraction misses non-standard universities
Lever's school recognition prefers well-known universities. Smaller or international schools may not auto-link.
Resume tips for Lever
- Headline directly under your name (e.g., 'Senior Software Engineer' or 'Finance Manager — MEA')
- Standard skills terminology
- Single-column
- Plain text contact info
Test your resume against Lever-style parsing
Free 30-second scan simulates extraction patterns common across Lever and other major ATS engines.
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