Screen Candidates at Scale Without Losing the Human Touch
Sift extracts skills, experience, salary expectations, and availability from candidate messages and applications so recruiters spend time interviewing, not data entry.
6 minutes
Time saved per application processed
5x
Candidate screening throughput increase
71%
Time-to-shortlist reduction
The intake problem in recruitment
- Candidates send cover letters and LinkedIn messages in wildly different formats
- Recruiters spend 6+ minutes per application copying details into the ATS
- Salary expectations and notice periods are mentioned casually but critical for screening
- High-volume roles generate hundreds of applications that need rapid qualification
See how Sift handles recruitment intake
What users type
What you get
Raj Krishnamurthy
DevOps Lead at Shopify (3 years)
Kubernetes, Terraform, GitHub Actions, ArgoCD, CI/CD
AWS Solutions Architect Professional, CKA
$180,000 - $200,000 base + equity
4 weeks
Toronto, open to remote US
Recommended form fields for recruitment
Recommended Form Fields
Creates the candidate record in your ATS
Instant seniority and company-tier assessment
Matches against job requirements for automated screening
Filters candidates within budget before the first call
Critical for urgent hires and start-date planning
Validates eligibility for the role's work arrangement
Quick seniority check against the job level requirement
Primary channel for interview scheduling and offers
Frequently asked questions
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Templates
Use Cases
Sift analyses free-text support tickets in real time, extracts priority, category, and sentiment, and routes them to the correct team instantly.
Lead CaptureSift extracts intent, budget signals, and urgency from free-text lead forms, then scores and enriches every submission so sales can prioritise instantly.
Client IntakeSift transforms free-text client intake submissions into structured profiles with goals, requirements, and red flags extracted automatically.