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Justin Dignelli is a seasoned entrepreneur and leader in the HR technology space, best known as the Founder and former CEO of Koru. Koru was a predictive hiring company that leveraged data science and machine learning to help organizations identify and hire top talent based on competencies and potential, rather than just pedigree. Justin has a strong background in building and scaling technology businesses, with a passion for improving how companies attract, assess, and retain talent. His work has focused on creating more equitable and effective hiring processes, emphasizing skills and predictive performance indicators. He is recognized for his insights into the future of work and talent acquisition strategies.
Justin Dignelli's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully founded and led Koru, a pioneering company in predictive hiring and talent analytics, which aimed to revolutionize how companies identify and develop high-performing individuals. Koru was later acquired by UKG (Ultimate Kronos Group).
Championed the use of data science and machine learning in talent acquisition to create more objective, fair, and effective hiring processes, focusing on grit, rigor, impact, and teamwork (Koru's core competencies).
Contributed to discussions and presented on topics related to skills-based hiring, predictive analytics in HR, and the evolving landscape of talent management, influencing industry perspectives.
Led Koru to a successful acquisition by UKG, a leading global provider of HCM, payroll, HR service delivery, and workforce management solutions, validating Koru's technology and market impact.
The George Washington University School of Business
Hackley School
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Pace is a revenue management platform that provides intelligent pricing automation and forecasting for the hospitality industry. It leverages AI and machine learning to help hotels optimize their revenue strategies, dynamically adjust room rates, and improve occupancy based on real-time market data and demand predictions. Their goal is to empower hoteliers to make smarter, data-driven pricing decisions.
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