Senior Technical Program Manager, AI Platforms
Graham Lee
Graham Lee serves as Senior Technical Program Manager, AI Platforms at Demand.io, where he leverages his extensive expertise in AI/ML architecture and product development to drive cutting-edge solutions that optimize business performance and revenue growth.
Lee brings significant experience from System1, a Marina del Rey-based omnichannel customer acquisition company, where he most recently served as Lead Solutions Architect. In this role, he researched, architected, and validated AI-driven solutions for automating paid advertising optimization across multiple channels including Google Ads, Facebook Ads, and Taboola, resulting in over 40% increases in gross profits for core business lines. He collaborated with machine learning teams to implement recommendation systems that boosted top-line revenue by over 20% and architected automation systems using fine-tuned generative AI for paid ad deployment. Previously at System1, he held the position of Senior Technical Product Manager, where he served as product owner for internal publishing tools, designed API integrations, and oversaw platform refactoring across multiple engineering teams to improve scalability and reduce technical debt.
Earlier in his career, Lee worked as Senior Product Manager at Campus Explorer, a Santa Monica-based education technology company, where he focused on optimizing predictive models and algorithms that significantly improved yield and conversion rates. He overhauled the company's primary predictive algorithm through statistical analysis, removing third-party dependencies and saving hundreds of thousands of dollars annually. At Dun & Bradstreet Credibility Corp in Malibu, he served as Business Analyst, where he was recognized as an "All-Star" performer and built technical requirements for e-commerce platforms while working cross-functionally with engineering, data, and marketing teams. He also served as a technical consultant for Aerth Planetary AI, an innovative environmental AI platform, where he designed core distributed systems and blockchain components.
Lee holds a Bachelor's degree in Physics and Economics from the University of California, San Diego, where he graduated with Honors, and has completed specialized certifications in data science and Python programming through Johns Hopkins University and the University of Michigan.