What happens to your resume when you apply through Lever?

The file types Lever can actually parse

Lever lists what it can read: "Microsoft Word (including .docx), Adobe PDF, Rich Text (RTF), Corel WordPerfect, HTML, MS Office HTML, Open Office (ODF)" (Lever — understanding resume parsing). The exclusion on the same page is the one that actually catches people: "Lever cannot parse information from image files (like JPG or PNG)."

Lever offers a quick self-check, and it is worth quoting exactly because it is widely repeated in a stronger form than the vendor states it: "A simple test to gauge if a file's content is parseable is to try highlighting text in the document with your cursor. If you cannot highlight text, the document is likely not parseable." Note "gauge" and "likely". Passing this test means your file contains real text rather than a picture of text — it does not mean a parser will read that text in the right order. A two-column layout highlights perfectly and can still be read across the columns instead of down them. Treat the highlight test as a floor, not a guarantee.

For a scanned document, Lever's own suggestion is to convert rather than upload as-is: use Adobe Acrobat or Google Drive to turn it into one of the file types above.

About the 10 MB limit you may have read: that figure comes from Lever's article on a recruiter manually adding a resume to a candidate profile, which is a different surface from the application form you fill in (Lever — adding and deleting resumes). Lever's candidate-facing parsing article states no size limit at all, so we are not going to invent one for you. Keep the file text-based and free of embedded images and size will not be your problem.

What the parser actually pulls out

Lever describes the extraction plainly: its parser "will extract information from the resume and add it to the candidate's profile, including their name, organization, and contact details", and when a resume is parsed, "readable information is automatically extracted and populated into the corresponding fields on the candidate profile (e.g., name, contact information)" (understanding resume parsing).

Two honest caveats. First, that article is tagged for recruiter roles and describes the candidate profile inside the employer's account — Lever does not publish a field-by-field account of what its public application form fills in, so neither will we. Second, there is a setting that changes the behaviour: an employer can enable "Skip email address parsing" in their job site configuration, "which would require manually entering the email address, but would still allow all other information to be parsed" (same article).

The practical point stands either way. Whatever the parser reads becomes the structured record — and Lever's recruiter search runs over exactly that parsed content, with a dedicated resume filter and a title: operator that searches job titles "parsed from their resumes" (Lever — searching the database for candidates). A resume the parser mangles is a resume that is harder to find later.

Auto-archive: a rule an employer builds, running on your answers

Lever calls rejection "archiving", and it does have automation that can do it without a human. Employers build workflows from three parts — a trigger, conditions, and actions — and one of the six triggers is "Application form submitted — The workflow will trigger when a candidate application is received after a candidate submits their application through the job site" (Lever — create and manage automation workflows). One of the four available actions is "Auto-archive: The opportunity will be archived with the archive reason defined in the rule", with the option to send a rejection email, optionally after a delay.

So yes: on a Lever job, a rule can archive you seconds after you submit. The question that matters is what such a rule is allowed to look at. Lever documents the full condition set, and it covers three objects: the opportunity (archived state, archive reason, tags, stage, origin, sources), the job posting (department, hiring manager, owner, posting, location, work type), and the application form, "with the ability to choose specific forms and questions within them" (same article).

There is no condition in that published list that reads the text of your resume, and no score threshold. Lever's own troubleshooting article uses the word for what these rules are: "multiple knockout questions, all of which will need to be answered with the selected answer in the workflow" for the automation to trigger (Lever — troubleshooting automation workflows). The screening questions are the knockout. Your resume wording is not.

Talent Fit: the AI review, and what Lever says it is not

Employers can enable an AI feature called Talent Fit. Lever's description of it is unusually specific, and most of it cuts against how AI screening is usually imagined.

It reads only two things — "Talent Fit uses only the Job Description and the candidate's resume to determine if the candidate is a fit for a job. No other data is included from the candidate's application or other job details." Your resume is anonymised before it reaches the model: "the candidate's resume is anonymized, and then compared to the job description by prompting a large language model (LLM)", which is "instructed to act as a recruiter and evaluate a candidate without regard to age, race, gender, or disability" (Lever — Talent Fit AI brief).

It is not a ranking against other applicants — "each candidate is evaluated individually, with no consideration of the other candidates in the pipeline" — and it is not a checklist: "Candidates are holistically assessed – there is no formula or set of 'boxes' the candidate needs to tick to be considered a 'fit' for the job." The output is "a binary decision on whether the candidate is a suitable fit, along with an explanation".

On whether it removes you, Lever answers directly: "Talent Fit is not intended to filter out candidates, but to provide additional context on their background and highlight areas that require clarification" (Lever — Talent Fit in Lever). And it is not universal: "As of August 4th, 2026, by default, Talent Fit is turned OFF for all newly created jobs", and an employer must switch it on at both account and job level (same article). Lever also puts the disclosure duty on the employer: "Customers bear the responsibility of informing candidates that AI is being used to evaluate their applications."

One tension worth naming rather than smoothing over: the AI brief says candidates "are evaluated automatically upon application", while the Lever article says the feature is off by default for new jobs. The consistent reading is that the first sentence describes what happens once an employer has enabled it — but Lever does not spell that out, so treat it as our reading rather than theirs.

Lever will not help you after you apply

This one is short and worth knowing before you go looking. Lever's own job-seeker page says it is "not a job board" and that "we can't help you apply for jobs or check application status" (Lever — job seeker support). There is no candidate account, no application dashboard, and no way to retrieve what you sent. Every route it offers points back to the employer.

Keep your own copy of the exact file you submitted, and use the same email address across roles at one company — Lever "automatically prevents duplicate candidate profiles when a candidate applies to multiple postings using the same email address" (Lever — merging duplicate candidate profiles), which keeps your history in one record rather than scattered.