Uses machine learning to scan and match candidates based on job requirements from various online sources.
Includes tools to identify and engage candidates from underrepresented groups to promote inclusive hiring.
Provides detailed profiles with aggregated data on skills, experience, and contact information.
Allows scheduling and sending personalized email sequences to candidates to increase engagement.
Seamlessly connects with popular applicant tracking systems like Greenhouse and Lever.
Offers data-driven insights on hiring trends, candidate availability, and recruitment effectiveness.
Finding software engineers, data scientists, and other tech roles using AI-driven search and matching.
Sourcing candidates from diverse backgrounds to build inclusive teams and meet organizational goals.
Continuously identifying and engaging potential candidates for future roles to maintain a ready talent pool.
Analyzing talent pools of competitors to inform hiring strategies and gain competitive insights.
Efficiently scaling recruitment efforts for rapid growth by automating candidate sourcing and outreach.
Sourcing and vetting high-level executives with detailed profiles and advanced search capabilities.
Targeting recent graduates and entry-level candidates for internships and junior positions.
Finding candidates globally for remote positions by leveraging geographic search filters and data.
Sourcing temporary or contract workers for short-term projects with flexible engagement tools.
Using data and analytics to measure recruitment effectiveness, optimize processes, and report on metrics.
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