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Career & Interview PrepPublished: 11 min read

How Workday, Greenhouse & Lever Parse QA Resumes (2026 Deep Dive)

How the 5 biggest ATS platforms in 2026 — Workday, Greenhouse, Lever, iCIMS, and Ashby — actually parse and rank QA resumes, and how to format yours to score well in all of them.

Avinash Kamble
Founder & QA Engineer at SoftwareTestPilot
Reviewed by Priyanka G.
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How Workday, Greenhouse, Lever parse QA resumes
How Workday, Greenhouse, Lever parse QA resumes

"ATS" is not a single system. Workday, Greenhouse, Lever, iCIMS, Ashby, and Taleo each parse resumes differently, weight fields differently, and fail in different ways. Understanding those differences is the last 10% that pushes a good QA resume from "passes most ATS" to "passes every ATS."

Workday

The dominant enterprise ATS (used by ~40% of Fortune 500). Strengths: robust text extraction from clean PDFs. Weaknesses: left-to-right parsing that shuffles multi-column layouts, weak header/footer parsing, and a keyword-density weight that penalises stuffing.

  • Do: single column, standard headings, keywords in body text.
  • Don't: two-column layouts, side rails, dates in a separate column.

Greenhouse

Popular with tech startups and mid-market. Strengths: good structured-field extraction. Weaknesses: emoji and special-character rendering can garble bullet indentation.

  • Do: plain bullet characters (•, -).
  • Don't: emoji as bullet markers or icons in skill lists.

Lever

Common at Series A–C SaaS companies. Strengths: light and fast parser. Weaknesses: struggles with LaTeX-generated PDFs where line spacing is unusual.

  • Do: export via LaTeX with standard geometry (1in margins, 10–11pt).
  • Don't: use non-standard glyphs or unusual line heights.

iCIMS

Legacy enterprise ATS. Strengths: mature parsing engine. Weaknesses: date-format sensitivity — inconsistent formats break tenure calculations, which affects recency scoring.

  • Do: standardise on "MMM YYYY – MMM YYYY".
  • Don't: mix "Jan 2020 – Present" with "01/2021 – 06/2023".

Ashby

Fast-growing modern ATS at Series B+ startups. Strengths: best-in-class parser, handles most formats. Weaknesses: aggressive keyword-cluster matching means missing 1 tool from a cluster drops you further than in Workday.

Common fixes that work across every ATS

  1. Single column, single font, standard headings.
  2. PDF exported from Google Docs / Word / LaTeX with standard geometry.
  3. Keywords in body text plus a Skills section — cover both indexing paths.
  4. Consistent date format.
  5. No header/footer for critical content.

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How to verify your resume passes across ATS variants

The SoftwareTestPilot ATS checker models the parsing behaviour of Workday, Greenhouse, Lever, iCIMS, and Ashby simultaneously. A score of 85+ means you'll clear all five; a score under 70 usually means one specific parser (most often Workday's column shuffler) is failing you.

Frequently asked questions

1.Which ATS is used by most companies in 2026?
Workday leads enterprise (~40% of Fortune 500), Greenhouse and Lever dominate tech startups, iCIMS holds legacy enterprise, and Ashby is fastest-growing at Series B+ tech companies. A resume optimised for Workday's stricter parser typically passes all five.
2.Do Workday and Greenhouse parse resumes the same way?
No. Workday is stricter on multi-column layouts and header/footer content; Greenhouse is more forgiving on layout but stricter on special-character rendering (emoji as bullets can garble parsing). A single-column, plain-bullet resume clears both.
3.How do I test my resume against Workday specifically?
Two options: (1) copy-paste the PDF into a plain-text editor — if columns shuffle or dates end up in the wrong role, Workday will see the same mess; (2) use an ATS checker that explicitly models Workday's parser like the free SoftwareTestPilot ATS review.
4.Does Ashby favour any particular resume style?
Ashby's cluster-based keyword matching rewards resumes that name multiple tools from the same functional group (e.g. Playwright + Cypress + WebdriverIO for UI automation). A resume that names only one tool per group scores lower than one that names 2–3.
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