ParseMe parses signed or unsigned offer letters — pulling salary, title, benefits, and contingencies so your HR team can verify accuracy before onboarding begins.
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Offer of Employment — Signed
Dear Jordan,
We are pleased to offer you the position of
Senior Account Manager in our Enterprise Sales
department, reporting to VP Sales Dana Reyes.
Your anticipated start date is June 1, 2026.
COMPENSATION
Base Salary: $95,000.00 per year (bi-weekly)
Signing Bonus: $5,000 (paid with first paycheck)
Equity: 10,000 RSUs vesting over 4 years (1-yr cliff)
Benefits: Medical/Dental/Vision effective Day 1
CONDITIONS OF EMPLOYMENT
This offer is contingent upon satisfactory completion
of a background check and reference verification.
Please sign and return by May 15, 2026.
Sincerely, Dana Reyes — VP Sales
Extracted Data
Every field ParseMe can pull from offer letters.
| Field | Type | Description |
|---|---|---|
| candidate_name | string | Candidate name |
| position | string | Job title offered |
| department | string | Department |
| start_date | date | Proposed start date |
| base_salary | number | Annual base salary |
| signing_bonus | number | One-time signing bonus |
| equity | string | Equity or stock options detail |
| background_check_required | boolean | Background check contingency |
| offer_expiry | date | Offer expiration date |
| reporting_to | string | Direct manager name |
Auto-populate HRIS with offer details the moment a letter is signed and returned
Verify compensation accuracy against approved ranges before start date
Track offer acceptance rates and expiry timelines in one dashboard
Flag contingencies that must be cleared before day one
Every document type in your industry — all in one platform.
ParseMe reads PDF, Word, and image resumes — extracting skills, experience, education, and contact info into a clean ATS-ready format regardless of layout.
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ParseMe reads structured application forms — scanned or PDF — and pushes candidate data directly into your ATS or hiring spreadsheet.
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