Summary
Benoît Dancoisne is a Senior Product Manager with 11 years of experience specializing in ranking, advertising, and trust & safety systems for large-scale consumer platforms. He has led product efforts across YouTube, Google, and DeepMind, focusing recently on Gemini safety and app-level protections that blend research-grade ML with production constraints. His background as a software engineer and Stanford-trained computational mathematician gives him a rare combination of hands-on modeling skills and product judgment for detection and auction dynamics. At Yelp he moved from engineering to product while improving search relevance and ad auction performance, a thread that runs through his work on detection and safety at YouTube and Google. Based in Zurich, he’s comfortable translating theoretical techniques into robust, scalable systems and is drawn to problems at the intersection of ML safety, ranking, and monetization.
11 years of coding experience
9 years of employment as a software developer
M1 Computational and Applied Mathematics, M1 Computational and Applied Mathematics at École Polytechnique
Classes préparatoires MPSI/PSI*, Classes préparatoires MPSI/PSI* at Lycée Louis-Le-Grand
Master of Science (M.Sc.) Computational and Mathematical Engineering, Master of Science (M.Sc.) Computational and Mathematical Engineering at Stanford University
French, English, Spanish, Italian