Workday vs Taleo vs Greenhouse: ATS in India Explained
Different employers, different ATS brands — same failure modes: bad parsing and weak keyword overlap.
Indian product companies, GCCs, and large services firms lean on enterprise ATS platforms. The brand on the login screen changes. The resume rules barely do.
What each system optimises for
- —Workday: structured fields and role requisitions — messy layouts drop data.
- —Oracle Taleo (common in services): keyword and filter heavy at volume.
- —Greenhouse / Lever: more human-readable, still punish unreadable PDFs.
What you should do regardless of vendor
Keep the resume boring in layout and sharp in content. Mirror the JD's stack. Quantify outcomes. Avoid headers/footers for critical contact info. Re-export a text-selectable PDF after every major edit.
Frequently asked questions
Does Workday read resumes differently from Taleo?
Details differ, but both need clean parsing and relevant keywords. A resume that fails one often struggles in the other.
Can I optimise for one ATS only?
Optimise for clarity and JD match. That travels across Workday, Taleo, Greenhouse, and Lever better than vendor-specific tricks.
Where do most candidates fail?
Unparseable layouts and generic resumes with low overlap to the requisition.
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