Uses machine learning to search across multiple databases and match candidates based on job requirements.
Sends personalized emails and messages to candidates automatically, with tracking and follow-ups.
Includes filters and insights to help recruiters build diverse candidate pools.
Seamlessly connects with popular Applicant Tracking Systems like Greenhouse and Lever.
Provides data on candidate availability, response rates, and hiring trends.
Allows multiple recruiters to collaborate on searches, share candidates, and manage pipelines.
Ensures data protection and adherence to hiring regulations like GDPR.
Find and engage candidates who are not actively job searching, expanding the talent pool.
Efficiently manage large numbers of applicants for roles with high demand, such as retail or customer service.
Use tools to source from diverse backgrounds, improving representation in the workforce.
Target candidates with specific technical skills, such as software developers or engineers, using AI search.
Identify and reach out to senior-level professionals for leadership positions.
Source recent graduates or interns from universities and colleges.
Hire candidates from different countries, with support for multiple languages and regions.
Speed up the recruitment process through automation and efficient candidate matching.
Lower recruitment costs by minimizing manual efforts and improving candidate quality.
Engage candidates with personalized communication, leading to better satisfaction and acceptance rates.
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