JobScore ATS Integration
Bring Skima Intelligence to JobScore
Skima AI provides explainable AI match scores, reasons, and manager feedback directly in JobScore ATS. No extra logins, no workflow disruption.
What You'll See in JobScore ATS with Skima AI
When you integrate Skima AI with JobScore, your recruiting team gets AI-driven insights directly inside JobScore's hiring platform.
Match Score (0–100) is displayed on each application for instant ranking.
Reason Bullets (points explaining why a candidate matches the JD).
"Skima Screened" Tag for pipeline filtering.
Shortlist Panel with Approve/Reject/Maybe controls and optional notes.
Audit Trail Notes capturing every feedback action.
A dynamic top-10 shortlist that updates automatically as new applicants arrive, ensuring recruiters focus on the best-fit talent first.
Why JobScore Recruiting Teams Pick Skima AI
JobScore users choose Skima AI for its seamless enhancement of existing workflows. Recruiters make better hiring decisions right inside JobScore.
Stay in One System
All AI scores, reasons, and hiring manager feedback appear directly within JobScore's candidate view.
Effortless Collaboration
Generate a secure shortlist link; feedback flows back into JobScore without context switching.
Real-Time Rankings
New applications are scored instantly via webhooks, keeping your pipeline continuously optimized.
Talent Rediscovery
Automatically uncover past candidates who match new job requirements.
What Skima AI Writes Back to JobScore ATS
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Candidate Note | SKIMA Match Score | Number (0–100) | 92 |
| Candidate Note | SKIMA Reasons | Long text | "5 yrs SaaS sales; CRM; quota attainment" |
| Candidate Tag | SKIMA Screened | Tag | SKIMA Screened |
| Candidate Note | Skima Shortlist URL | URL | https://shortlist.jobscore.ai/abc123 |
| Candidate Status Change | Skima Shortlisted (optional) | Status | Skima Shortlisted |
| Activity Note (Optional) | Hiring Manager Feedback | Enum | 👍 / 👎 / Maybe |
| Hiring Manager Note | HM Comment | Short text | "Ready for on-site interview" |
Note: Skima AI relies on JobScore webhooks for real-time data exchange; if unavailable, 10-minute polling ensures data freshness.
How the Shortlist Loop Works?
Skima AI makes hiring collaboration inside JobScore ATS faster and easier by creating a seamless shortlist feedback loop.
Recruiter Shares Shortlist
Skima AI generates a secure, no-login shortlist link and logs it as a note on each candidate.
Manager Provides Feedback
Managers click 👍, 👎, or Maybe, and optionally add comments directly within the shortlist interface.
Automated Write-Back
Feedback syncs back into JobScore as notes or status changes on candidate records.
Recruiter Acts
Recruiters review AI-ranked top-10 candidates in JobScore and progress the strongest fits with full confidence.
This loop leads to quicker decisions, clear audit trails, and ongoing alignment all within JobScore's workflow.
Field Map for JobScore ATS Integration
A precise field map clarifies exactly what data flows between JobScore and Skima AI.
Skima AI securely retrieves:
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Candidate Data: ID, name, email, phone, location, LinkedIn URL.
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Application Data: Resume file URLs, cover letter text, custom application responses.
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Job Posting Data: Job ID, title, description, requirements, department, location.
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Pipeline History: Current status, status timestamps, prior application attempts.
After scoring and ranking, Skima AI writes:
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Candidate Notes: "SKIMA Match Score: X" with rationale bullets.
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Candidate Tags: "SKIMA Screened" for quick filtering.
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Shortlist Links: Secure URL notes for manager review.
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Status Changes (Optional): Move to "Skima Shortlisted" pipeline stage.
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Feedback Notes: Hiring manager approvals/rejections and comments.
This bidirectional data sync ensures hiring managers always see real-time AI insights without leaving JobScore's interface.
Set up Your JobScore Integration
JobScore + Skima AI integration is fast, secure, and requires minimal IT effort.
Here are 5 steps to set up your JobScore integration:
Generate API Key In JobScore Admin → API Settings, create a key with read/write scopes.
In Webhooks settings, add Skima AI's endpoint and subscribe to Candidate events.
Create or map a "Skima Shortlisted" stage in your JobScore pipeline.
Submit test applications, verify AI scores and reasons appear, and simulate manager feedback.
Go live, enable on pilot roles, monitor weekly performance dashboards, then expand across teams.
Security &
Responsible AI
for JobScore
Integrations
Skima AI integrates with JobScore to ensure rigorous security and fairness standards., to keep candidate data secure and hiring decisions transparent.
- Encryption TLS 1.2+ in transit, AES-256 at rest.
- Role-based permissions govern API key creation and webhook management.
- All scores include evidence-based reasoning; no opaque "black-box" decisions.
- Regular audits, redaction modes, and configurable filters to minimize disparate impacts.
- GDPR, CCPA, SOC 2 Type II, and data processing agreements aligned with JobScore's policies.
Skima AI integrates explainable AI with strict security measures to ensure your JobScore integrations are compliant, auditable, fair, and protected from bias and discrimination risks.
Customer Snapshot: 30-Day Pilot with JobScore ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the JobScore ATS Integrations.
What authentication does JobScore require?
Skima AI uses JobScore API keys with scoped permissions for read/write on Candidates, Applications, Notes, Tags, and Statuses.
Are webhooks mandatory?
Webhooks are recommended for real-time updates; Skima AI supports fallback polling at 10-minute intervals if webhooks are unavailable.
Which fields does Skima AI read from JobScore?
Candidate demographics, resume URLs, application text, posting metadata, and pipeline status history.
How does Skima AI write data back?
Using Candidate Notes, Tags, and optional Status changes to record match scores, reasons, shortlist links, and manager feedback.
Can I customize pipeline stages?
Yes. Map Skima AI's outputs to any existing or new pipeline stages, such as "Skima Shortlisted.".
How long does setup take?
Typically 60–90 minutes: API key creation, webhook configuration, pipeline mapping, and testing.
Is candidate data secure?
All data encrypted in transit and at rest; access controlled via scoped API keys and audit logs.
How often are scores updated?
Scores refresh in real time via webhooks or every 10 minutes via polling.
Can past candidates be rescored?
Yes. Skima AI can batch-rescore historical applications for new postings to rediscover talent.
Who do I contact for support?
Reach out to Skima AI's Integration Success team at [email protected] for implementation assistance.