Summary
Alex Siegman is a Senior Technical Program Manager at Google DeepMind with nine years of experience leading large, ML-focused research programs that accelerate multimodal understanding and generative AI across Google products. He has a track record of designing and coordinating 100+ person initiatives, bridging research, engineering and product to move cutting-edge models from lab to product impact. Prior roles at Google Research, Dow Jones, and as an adjunct professor at NYU Stern demonstrate his ability to translate academic ML advances into scalable production systems and business value. Trained in journalism and cognitive science, he combines rigorous storytelling and user-centered thinking with technical program execution—an uncommon mix that helps stakeholders align around complex, ambiguous AI efforts. Based in New York, he brings both strategic vision and hands-on program craft to large, cross-functional teams.
9 years of coding experience
6 years of employment as a software developer
CORe Credential of Readiness, CORe Credential of Readiness at Harvard Business School Online
Masters of Science Journalism, Masters of Science Journalism at Columbia University - Graduate School of Journalism
Artificial Intelligence: Implications for Business Strategy, Artificial Intelligence: Implications for Business Strategy at MIT Sloan School of Management
BS PNP (Philosophy Neuroscience Psychology), BS PNP (Philosophy Neuroscience Psychology) at Washington University in St. Louis
High School, High School at Choate Rosemary Hall
English, French, python