Uses machine learning algorithms to find candidates based on complex criteria, including skills, experience, and location.
Aggregates data from multiple sources like GitHub, LinkedIn, and publications to create comprehensive candidate profiles.
Helps identify and promote diverse candidates through analytics and reporting tools to support inclusion goals.
Sends personalized messages to candidates at scale using templates and scheduling features.
Connects with popular ATS like Greenhouse and Lever, as well as other HR tools for seamless workflow management.
Ensures candidate information is current and accurate by regularly updating from source platforms.
Identify and reach out to passive candidates who are not actively job-seeking but match specific role requirements using AI search.
Create and maintain talent pools for future hiring needs by saving and categorizing candidate profiles.
Use diversity analytics to target and engage underrepresented groups, supporting organizational inclusion initiatives.
Source talent from competitor companies to understand market trends and strengthen recruitment strategies.
Find entry-level candidates from universities and colleges based on skills, projects, and academic background.
Recruit software engineers, developers, and other tech roles by searching for specific technical skills and GitHub activity.
Source C-level and senior executives using advanced filters for experience, industry, and leadership qualities.
Analyze talent availability in specific industries or regions to inform business and hiring planning.
Personalize engagement through automated yet tailored messaging, enhancing candidate satisfaction.
Streamline the sourcing process with efficient tools, speeding up recruitment cycles and filling roles faster.
Ensure diverse candidate pools for compliance with equal opportunity regulations using built-in analytics.
Source candidates worldwide by filtering by location and language skills, supporting international expansion.
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