Talent Acquisition
AI Resume Screening for Lever
Applicants on your Lever postings are scored against each role's criteria, with findings recorded as feedback for the hiring team.
In Lever, every posting fills with opportunities that someone has to read before the hiring team can act. This edition connects with a Lever API key, reads postings and the opportunities attached to them, and scores each resume against the posting's criteria. The result is recorded as feedback on the opportunity, so hiring managers see the evidence next to their own notes and make the call.
- Screening results recorded as feedback on each Lever opportunity
- Two-way sync of postings, opportunities and feedback
- Uncertain opportunities left for your named reviewer
$4,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Resume Screening for Lever uses a Lever API key to read postings and the opportunities attached to them, extracts the details you define from each resume, scores them against the posting's criteria and records the result in Lever as feedback for a reviewer.
Why businesses buy it
Lever makes it easy to collect applicants and hard to keep up with them when several postings are open. Opportunities wait for a first read, hiring managers chase recruiters for updates, and strong candidates move on. This edition gives every opportunity a consistent first review against the posting's criteria and records it in Lever as feedback, so the whole team sees the same evidence. A documented field mapping and the Scope Card set what is read and written before you order, and every decision to advance or archive stays with a person.
Problems this solves
Opportunities in Lever sit untouched until someone has time
A Lever API key lets the tool read postings and the opportunities attached to them. Each resume is scored against the posting's criteria as it comes in, ready for a reviewer.
Feedback in Lever is thin or missing for early-stage applicants
The score and the extracted details are recorded in Lever as feedback. Reviewers open an opportunity and see structured notes, not a blank feedback section.
Recruiters copy resume details into Lever fields by hand
The details you define are extracted from each resume and written to Lever through an agreed field mapping. Validation rules catch unclear fields and send them to the review queue.
A good fit if
Your roles are published as Lever postings, and every opportunity is reviewed by hand.
Hiring managers already read feedback in Lever, so that is where screening results should appear.
Each posting has criteria precise enough to score resumes consistently.
A Lever admin can provide an API key and give 30 minutes to a setup call.
Not the right fit if
Your ATS is Greenhouse. See AI Resume Screening for Greenhouse.
You need interview times coordinated with candidates and panels. See AI Interview Scheduling for Lever.
You need clearer, structured postings written before screening starts. See AI Job Description Generator.
Candidate personal data must be masked in what reviewers see. Add the PII Redaction Layer.
How it works
- Your Lever admin joins a 30-minute call where we document which posting, opportunity and feedback fields are read and written.
- Opportunities on mapped postings are picked up and their resumes extracted, with up to 25 fields per document type.
- Validation rules and the posting's criteria produce a score and a list of what matched or was missing.
- That result is recorded on the opportunity as feedback, so the hiring team reads it where they already work.
- Opportunities the screen is unsure about are left for your named reviewer, and nobody is rejected without a person.
- 100 sample documents are processed against test records before launch, with an accuracy report for you.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- A Lever API key.
- A Lever admin for a 30-minute setup call.
- At least 20 real resumes per document type, redacted where needed.
- Role descriptions and criteria for the postings to screen.
- HR policies, your handbook, and the fields and validation rules.
- The reviewer who handles uncertain opportunities.
- One decision-maker for approvals.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, Lever API key working, mapping agreed.
Weeks 1–2
Extraction and scoring set up for your mapped postings.
Week 3
Feedback write-back to Lever configured and tested.
Weeks 3–4
100 sample documents processed; accuracy report shared.
Week 4
Two rounds of changes to criteria and mapping.
Go-live
Live in Lever, recorded handoff, 30 days of support.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,900 |
| Express | 15–25 working days | $5,750 |
| Rush | 10–20 working days | $6,600 |
What you receive at handover
- AI Resume Screening for Lever, reading postings and opportunities and recording results as feedback
- Lever connection with a documented field mapping
- Access through a Lever API key or user invite held by you, with no keys emailed
- Extraction for up to three document types, with validation rules and a review queue
- Test report on sandbox or test records, with an accuracy report from 100 sample documents
- Admin guide, a recorded handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Can move new opportunities forward sooner
- Helps reviewers decide from structured Lever feedback
- Makes data entry into Lever lighter for recruiters
- Time from application to first feedback
- Using Lever reports, compare average time to first feedback on new opportunities before and after launch.
- Opportunities with no feedback after a week
- Count opportunities without feedback a week after applying, before launch and a month after.
- Recruiter admin time
- Ask recruiters to log time spent keying resume details into Lever for a week before and after.
Before you start: Pull a Lever report on time to first feedback for recent postings. Count opportunities currently waiting without feedback.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build is a one-time payment. After that, OCR, AI usage and storage cost roughly $30 to $200 a month depending on page volume, in your own accounts. Your Lever subscription continues unchanged, and Lever licenses or plan upgrades are outside this build.
Usage during build and testing is also billed to your accounts.
Ask about running costsCustom requirements
If you need custom Lever objects beyond the agreed mapping, a fourth document type or a third connected system, add a note at checkout. A written Change Quote follows.
Request a custom versionKeep it running
Once the 30 days of support end, optional monthly maintenance covers monitoring, fixes, model and Lever updates and a monthly health report. Change hours handle small changes like mapping a new posting or adding a feedback field. Larger requests need a Change Quote. You can cancel any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A screening extension bills per seat monthly | A sourcing partner charges per hire | Ours is one fixed price, shown on this page before you buy |
| Where results land | A separate screening portal | An emailed shortlist | Ours records results as feedback in Lever |
| Criteria | A generic fit score | Depends on the consultant | Ours uses each posting's own criteria |
| Delivery | Installs quickly, tuning takes longer | Depends on the search | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
What Lever data does AI Resume Screening for Lever read and write?
Postings, opportunities and feedback, in both directions, according to a documented field mapping agreed with your admin. Custom Lever objects outside that mapping are excluded unless you add them through a Change Quote. The screen never changes anything the mapping does not cover.
How does AI Resume Screening for Lever get access to our account?
Through a Lever API key that your admin provides, plus a 30-minute setup call with that admin. Access is used only for the agreed mapping. Lever licenses and plan upgrades are your responsibility and are not part of the price of this build.
Where do hiring managers see results from AI Resume Screening for Lever?
On the opportunity in Lever, recorded as feedback. Each entry shows the score, the extracted fields and what matched or was missing against the posting's criteria, so managers review the screening evidence alongside their own notes without opening another tool or a separate report.
What does AI Resume Screening for Lever cost?
The price for each delivery speed is listed in the panel on this page, and all speeds deliver the same Scope Card, including the Lever field mapping, feedback write-back and an accuracy report on 100 sample documents. Running costs of roughly $30 to $200 a month, depending on page volume, are paid directly in your own accounts, and your Lever subscription stays as it is.
Does AI Resume Screening for Lever decide which opportunities move forward?
No. It scores and records feedback, and a person decides. Automated hiring or employment decisions are excluded. Opportunities the screen is unsure about are left for the reviewer you name, so nobody is turned away on a model's reading alone.
Can AI Resume Screening for Lever be tested before it touches live candidates?
Yes. Testing uses 100 of your sample documents and sandbox or test records, and you receive an accuracy report before launch. Two rounds of changes follow, so criteria, feedback wording and field mapping are all settled before any live opportunities are screened.
Who handles hiring-law duties for AI Resume Screening for Lever?
Your company does, as the employer. A person on your team makes every advance or reject decision. The AI score is stored next to it in your connected system. Duties under laws such as New York City Local Law 144 or the EU AI Act stay with you. These include bias audits, candidate notices and risk assessments. This page is not legal advice.
Put screening evidence on every Lever opportunity.
Order AI Resume Screening for Lever and each opportunity is scored against its posting with feedback recorded in Lever, live on a fixed delivery date.
Works well with
Talent Acquisition
AI Job Description Generator
Writes inclusive, structured job descriptions from role notes.
Talent Acquisition
AI Interview Intelligence
Transcribes interviews and summarizes evidence against the scorecard.