CareerBuilder, the 25-year HR-tech and recruitment veteran, has announced that it will work with Google Cloud to create next-gen job searching functionalities.
CareerBuilder was an early tester of the online giant’s Cloud-based machine learning solution, and will now fully migrate to the same. This would imply, that all search on www.careerbuilder.com is powered by the Google Cloud Job Discovery. Google Cloud will also offer search functionality for CareerBuilder 4,000 talent networks.
CareerBuilder has claimed that it has witnessed a 40% increase in the number of people who click through to check on jobs on their client’s talent networks. It also saw a 15% lift in the number of people who click on view jobs, to receive automated job alerts.
Speaking on the occasion, Matt Ferguson, CEO, CareerBuilder, shared his thoughts:
“CareerBuilder has a history of building and adopting technology that is disruptive in the industry and delivers better results; Artificial intelligence is core to all of our solutions for hiring and managing talent, and leveraging Google Cloud’s machine learning solution is a natural extension of our R&D program. Building a strong relationship with Google Cloud over the last several years has brought unique benefits to our clients and job seekers, including higher relevancy and conversions.”
CareerBuilder has over 200 data scientists, specialists, and engineers all working with AI. It is now working with Google’s cloud team, which would be a critical element for the collaboration to find success. It will pair its tech, experience, and expertise in the human capital segment, with Google’s machine learning capabilities to transform and impact job search experiences.
Humair Ghauri, Chief Product Officer, CareerBuilder, detailed the company’s approach and the way forward:
“We are fully integrated with Google Cloud Job Discovery and are leveraging them on the backend to differentiate the experience employers and job seekers have with us. CareerBuilder offers end-to-end solutions for the entire hiring process and collaborating with Google frees up our time and engineering resources to explore other exciting things we want to do.”