Your Lever resume is searchable fields, not a design
Lever (and similar modern ATS tools) extract titles, dates, companies, and skills into structured data that recruiters filter and search. A pretty multi-column PDF often lands the wrong text in the wrong field. Match the posting’s language where it is true, and keep the file linear.
What Lever actually does on upload
Parses the file into experience, education, skills, and contact fields.
Recruiters search and filter those fields using terms from the job description.
Knockout questions and required fields still filter first — not a hidden keyword score.
Autofill is frequently imperfect; always review and correct the form after upload.
What to upload
Single-column .docx or a clean text-based PDF.
Standard section headings: Experience, Education, Skills.
Job titles and tools that mirror the posting where they match your real work.
One tailored version per role instead of the same master file everywhere.
Keywords that help (without stuffing)
Exact tools, methods, and scope phrases that appear in the job description and that you can defend.
Put the highest-signal matches near the top of relevant experience bullets and in a plain Skills list.
Prefer the posting’s wording over internal company jargon.
Skip white text, synonym dumps, and design tricks that break the parse.
Athena’s role
Athena ATS scores your resume against the job description you paste and rewrites for that posting.
First rewrite is free. Founding Beta is $8/mo or $59/yr. No interview guarantee.