Case Study: CareerBuilder improves job search results and applicant quality with Looker

CareerBuilder Using AI to match candidates with their ideal jobs

CareerBuilder, a global job search and human capital solutions company, needed to improve search relevance across careerbuilder.com and its 4,000 talent networks while reducing the engineering effort spent tuning its in-house search systems. The company turned to Looker’s platform and related Google Cloud machine learning capabilities to better match job seekers with relevant listings and support stronger conversion paths.

Looker helped CareerBuilder implement smarter, ML-driven search and alerting that powered job results across web, mobile, and email. The impact was measurable: an 18% increase in applications in top job categories, a 15% lift in users clicking jobs from automated alerts, a 41% increase in actions from saved search alerts, and a 40% increase in click-throughs across talent networks.

CareerBuilder

Humair Ghauri

Chief Product Officer