Summary
Henry Aspegren is a Group Program Manager in San Francisco with 11 years of experience at the intersection of AI, privacy, and cloud infrastructure. He currently leads cross-functional teams at OpenAI to advance model intelligence and strategic data and research partnerships, after contributing to GPTBot and research data efforts. Previously he shaped generative AI product strategy at Meta working on Llama family models and built privacy infrastructure that governed exabytes of data and cut compliance time from months to days. At YouTube he saved millions by launching tools to detect inefficient database queries and optimize network capacity, demonstrating a knack for turning technical complexity into measurable operational impact. His background spans engineering, research, and business (MIT, Cambridge, Schwarzman Scholars), giving him fluency across product, ML, and regulatory domains. Colleagues rely on him for pragmatic roadmaps that bridge deep technical systems and real-world privacy and compliance constraints.
11 years of coding experience
7 years of employment as a software developer
Master's of Engineering (MEng) and Bachelors of Science (BS), Computer Science and Engineering, Master's of Engineering (MEng) and Bachelors of Science (BS), Computer Science and Engineering at Massachusetts Institute of Technology
Master's in Management Science, Business, Master's in Management Science, Business at Schwarzman Scholars
Computer Science, Computer Science at University of Cambridge
Greenhills School