Daniel Kent

Daniel Kent is currently a Board Member at the Internet Education Foundation. Prior to this, they were the Lead Product Manager for Machine Learning at Glassdoor. In this role, they oversaw a team of 19 engineers and data scientists responsible for developing employer, occupation, location, and jobs knowledge graphs. Daniel also led the Content ML (NLP) team, which was responsible for Deep Learning User Generated Content aspect extraction, category and constructiveness classification. Under their leadership, the team launched a new homepage search experience with autosuggest which improved NPS by 40+ points.

Previously, Kent worked as a product manager at various companies including Amazon and Google. Daniel has a passion for education and has been involved with the Internet Education Foundation since its inception in 2006.

Daniel Kent's educational career includes a Master of Information and Data Science from UC Berkeley School of Information, a Master of Business Administration from Yale School of Management, and a B.A. in Growth and Structure of Cities from Haverford College. Daniel is also certified as a Trained Mentor from Mentor Collective, a UserTesting Partnered Course (UC Berkeley School of Information) from UserTesting, Google Tag Manager Fundamentals from Google Analytics Academy, Net Promoter Certified Associate from Satmetrix, Mobile App Analytics Fundamentals from Google Analytics Academy, Digital Analytics Fundamentals from Google Analytics Academy, and Google Analytics Platform Principles from Google Analytics Academy. Additionally, they are a Certified Scrum Product Owner from Scrum Alliance.