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Resume management

The generic resume you mailed to twelve companies last week got filtered out by eleven ATSes before a human saw it. That's the problem. Recruiters spend six seconds on a first pass. Applicant tracking systems are less generous. The resume that lands an interview doesn't look like a brochure — it looks like the job description reflected back.

LightningHire solves this in two steps: you upload your complete career history once as a master resume, then generate a tailored version for every serious application. The AI mirrors keywords, reorders emphasis, and flags gaps. It never invents skills you don't have.

Open your resume library

lightninghire.com/resumes — upload, tailor, and score in one place.

Master resume vs tailored resume​

There are exactly two kinds of resume in LightningHire, and the distinction matters.

Master resume​

Your complete, comprehensive career record. Every role, every meaningful accomplishment, every technology you've actually used. This is the source document. It's probably too long to send to a recruiter — that's fine. It's not meant to be sent. It's meant to be the truth the AI draws from.

Keep the master resume updated quarterly, not just when you start a search. The shipping deal you closed in March is easier to remember in April than in November.

Tailored resume​

A version optimized for a specific role. The AI takes your master resume plus a job description and produces a resume where:

  • Keywords from the JD appear in your experience bullets (when they're accurate).
  • Relevant roles come first; less-relevant ones shrink.
  • Summary and headline match the role's language.
  • Skills you have that match the JD get surfaced; skills you don't have are not fabricated.

You can generate as many tailored versions as you want from a single master. They stack under the master in the Tree view.

The AI never invents skills

If "Kubernetes" isn't in your master resume and the JD demands it, the tailored version will not add it. You'll see a gap flag instead. LightningHire is a copilot, not a fiction writer — fabrications get you rejected in the first technical round, which is worse than not getting the interview.

Uploading your master resume​

  1. Go to Prepare > Resumes in the sidebar.
  2. Click Upload Resume.
  3. Select a PDF or DOCX.
  4. The parser extracts content, roles, dates, and skills into a structured format.

Multiple master resumes are fine if you run parallel tracks — one for engineering roles, another for management, a third for a career pivot. Give them clear names.

What the parser sees

PDFs exported from Word, Google Docs, or Pages all work. Scanned-image PDFs and heavily designed one-pagers with multi-column layouts can trip parsing — if that happens, the UI shows you which sections didn't parse cleanly and lets you paste the raw text.

Tailoring for a specific role​

Two ways in:

  1. From an application — open the pipeline card, click Tailor resume. The JD is pre-filled.
  2. From the Resumes page — click Tailor, pick the master, paste the JD.

Then:

  1. Review the AI's proposed edits. Each change is explained — "moved payments experience to top because JD lists it as core requirement."
  2. Accept, reject, or adjust individual changes. You know your experience; the AI doesn't know your nuance.
  3. Download as PDF or DOCX.

Match scoring​

Every resume paired with a job description gets a match score from 0 to 100. The score appears:

  • On the resume card in the library.
  • On the pipeline application detail page.
  • During tailoring, updating as you accept or reject edits.

How to read the score​

ScoreWhat it meansWhat to do
90+Strong alignment, minimal tailoring neededSubmit the master or a light tailor
70–89Solid baseline, specific gapsTailor, review gap flags
50–69Real gaps in keyword coverageTailor carefully, decide if the role fits
< 50Material mismatchReconsider applying, or invest in honest resume updates
Match score is a tool, not a verdict

An 85 doesn't guarantee an interview, and a 65 doesn't guarantee a rejection. Treat it as a signal about keyword alignment — hiring decisions involve judgment, timing, referrals, and a dozen factors the score can't see.

Organizing your resumes​

The Resumes page offers three views:

  • Grid — visual cards, one per resume. Good for a quick scan.
  • List — compact table. Good when you have twenty tailored versions and want to sort by date or score.
  • Tree — groups tailored versions under their parent master. Good for understanding which versions came from which base.

You can also:

  • Search by file name or company.
  • Sort by date, score, or status.
  • Tag for saved views (e.g., "product-role track", "remote only").

Resume habits that compound​

  • Update the master quarterly. Not monthly (overkill), not annually (you forget things). Add new accomplishments as they happen.
  • Tailor for every serious application. Generic resumes get filtered. A tailored version that mirrors the JD's language measurably improves ATS pass-through.
  • Keep bullets quantified. "Led migration" is weaker than "Led migration of 12-service monorepo, cutting build time from 14 to 3 minutes." Numbers survive six-second scans.
  • Review AI edits critically. Accept what's accurate. Push back on phrasing that doesn't sound like you. Your voice is part of the signal.
  • Don't chase the score. A 92 with fabricated keywords is worse than an 82 that's honest.

Common questions​

Can I edit tailored resumes after generating? Yes. The editor is inline — adjust any bullet, summary, or header.

What about cover letters? Cover letters are drafted separately from the pipeline application detail page, using the same master resume plus JD combination. See the pipeline guide.

Does LightningHire store my resume? Yes, in your account. You control it — delete anytime. It's used by you and by the AI features you trigger; it's not shared with third parties or sold.