Summary
Paige Bailey is an AI developer relations and product leader with over a decade of experience shaping developer tooling and generative models across Google DeepMind, GitHub, and Google. She builds bridges between research and product—driving adoption of Colab, Gemini APIs, JAX and ML-first developer workflows while advising investors on GenAI strategy. Her work spans product leadership on PaLM and Gemini, hands-on developer advocacy for TensorFlow and Copilot-era tooling, and scaling ML experiences that prioritize user empowerment and clarity. Based in San Francisco, she blends a geophysics and data-analytics background with deep product chops to translate complex ML research into practical developer products. Less obvious: she began her career modeling earth and lunar data, bringing a scientific rigor to metrics-driven opinion battles. Her mantra—keep it simple, make it scale—underscores a track record of shipping tools that measurably boost developer productivity.
12 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.) Subsurface Geosciences (Geophysics), Master of Science (M.S.) Subsurface Geosciences (Geophysics) at Rice University
Associate's Degree Business Administration and Management General, Associate's Degree Business Administration and Management General at Hill College
Master’s Degree Computer Science (Data Analytics), Master’s Degree Computer Science (Data Analytics) at University of Houston-Downtown
English, German, Chinese