Up Next @ Work, Episode 11 with Bennett Sung

High-quality, accurate candidate-matching software is considered the "silver bullet" of the HR Tech world. Bridging the gap between the language of the recruiter and the language of the applicant to build the best possible candidate pool has been a puzzle the industry has been trying to crack since the mid-90s. Still, solutions are falling short of expectations. Our guest this week, Bennett Sung, draws on his nearly two decades of experience as a Product Marketing Manager and CMO in the HR/Recruiting Tech industry to discuss how solutions providers can make their products more effective for the end user. Bennett and Kate discuss a wide range of topics, including: The disconnect between resume and job description language causing issues for automated matching systems. The need for stricter job intake guidelines, including detailed ideal candidate profiles. The risk of bias in candidate selection, even with AI, and the need for hiring teams and solutions providers to address it. Current benefits of Generative AI in hiring and its potential future developments. Learn more about the state of the candidate matching software landscape by listening to our conversation with Bennett. Thanks for sharing Up Next @ Work with your community.