Summary
Andrew Stanton is a seasoned product and technology leader with 13 years of experience building high-impact search, machine learning, and recommendation systems across e-commerce, media, and weather prediction. He has scaled search products from hundreds of millions to multi-billion-dollar GMV outcomes at Etsy and led ML-driven product strategy and orgs as Director, VP, CTO and now Chief Product Officer. Comfortable moving between hands-on architecture, research, and product strategy, he has a track record of shipping production ML systems—covering learning-to-rank, neural IR, graph retrieval, and transformer-based solutions—that measurably improve conversion funnels. As an independent advisor and founder, he helps startups through Fortune 500s integrate state-of-the-art generative and diffusion models into commercial products. Based in San Francisco, he combines deep systems engineering roots (building high-performance indexing, compilers and distributed data systems) with a product-first mindset that prioritizes ROI and operational scalability.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at George Mason University