Lever
PaidTalent acquisition suite combining ATS and CRM for modern recruiting teams.
What does this tool do?
Lever is a comprehensive talent acquisition platform designed to modernize and streamline recruiting processes through AI-powered tools. The platform combines an Applicant Tracking System (ATS) with Customer Relationship Management (CRM) capabilities, enabling recruiting teams to manage the entire candidate journey from sourcing to hiring. Its standout feature is the integration of AI companions that assist in interview screening, candidate evaluation, and process automation, making recruiting more efficient and data-driven.
AI analysis from Feb 18, 2026
Key Features
- AI Interview Companion for consistent candidate evaluation
- AI Screening Companion to surface qualified candidates
- Career site builder
- Advanced recruitment analytics dashboard
- Candidate relationship management tools
- High-volume hiring workflow automation
- Diversity and inclusion hiring support
Use Cases
- 1High-volume recruiting for growing tech companies
- 2Diversity and inclusion-focused hiring initiatives
- 3Enterprise talent acquisition for mid to large organizations
- 4Startup recruitment with limited HR resources
- 5Complex multi-stage interview process management
Pros & Cons
Advantages
- Intuitive, clean user interface with minimal learning curve
- Advanced AI tools for screening and interviewing candidates
- Flexible platform that adapts to changing organizational needs
- Strong analytics and reporting capabilities
- Comprehensive recruitment marketing features
Limitations
- Potentially expensive for smaller organizations
- AI features might require significant configuration
- May be overly complex for very small teams
- Integration complexity with existing HR systems
Pricing Details
Pricing details not publicly available. Requires contacting sales for custom quote.
Who is this for?
Mid to large enterprises, tech companies, and scaling organizations with complex recruiting needs, particularly those valuing AI-driven recruitment processes