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HiringThing

HiringThing is a cloud-based applicant tracking system designed to streamline the recruitment process. It enables organizations to post job listings, manage applications, and facilitate communication with candidates. The platform offers tools for customizing workflows, integrating with job boards, and generating reports to enhance hiring efficiency and decision-making.

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13.0%Recruitive

11.5%Pcrecruiter

11.5%RecruitX

11.5%Recruitee

11.5%erecruit

40.9%Others

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About HiringThing

HiringThing was created in 2012 to address the need for a more efficient and streamlined recruitment process. It was developed as a cloud-based applicant tracking system to help organizations manage job postings, applications, and candidate communications effectively. The platform aimed to simplify hiring workflows and improve decision-making through customizable tools and integration with various job boards.

Strengths of HiringThing included its user-friendly interface, customizable workflows, and seamless integration with job boards. Weaknesses might have involved limitations in advanced analytics or customization options compared to more robust platforms. Competitors included Greenhouse, Lever, and JazzHR, which offered similar applicant tracking functionalities.

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How to hire a HiringThing expert

A HiringThing expert must possess skills in navigating and configuring applicant tracking systems, proficiency in customizing workflows, and experience with integrating third-party job boards. They should also be adept at generating and analyzing recruitment reports, managing user permissions, and troubleshooting technical issues within the platform.

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Luiz A.

Machine Learning/AI Engineer

Skills

Google ViT (Vision Transformer)

Rpl

Recruitee

Bio

A proficient researcher and developer with significant expertise in biological molecular research and diagnostic imaging technologies, specializing in public health solutions. Developed and assembled hardware for diagnostic equipment, leading to the publication of three Python packages aimed at enhancing system functionality. Experienced in computer vision, having designed feature extractors and combiners that utilize machine learning methodologies for data analysis. Holds a Master's degree in Materials Engineering and Sciences and a Bachelor's degree in Physics from a leading institution, demonstrating a solid foundation in scientific principles and applications.

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