Eugene Nho is a product leader with nine years of experience building 0-to-1 products at the intersection of frontier AI, privacy, and real-world complexity. Currently at Meta, he leads a 120+ engineer organization delivering a privacy-forward ML infrastructure and transparency controls for ads, having previously built the interest graph powering Meta’s monetization. He has a track record of guiding existential pivots at startups—leading Elementum’s shift to core incident management and ML capabilities—and helped scale Nervana from chip-to-framework research into a high-value acquisition. His background combines hands-on ML product strategy, regulatory work (CCPA/GDPR), and operational leadership from McKinsey to platoon command in Korea, enabling hard tradeoff decisions under pressure. A Stanford MS in Intelligent Systems and an MBA inform his ability to translate deep technical stacks into customer-facing, compliant products. Colleagues describe him as a builder who pairs rigorous customer discovery with technical empathy to ship durable, trust-centered systems.
9 years of coding experience
5 years of employment as a software developer
MBA, MBA at Stanford University Graduate School of Business
BA with honors, Economics; minor in Environmental Engineering, BA with honors, Economics; minor in Environmental Engineering at Stanford University
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