About Greg Brockman
Greg Brockman is the co-founder and president of OpenAI, where he serves as the organization’s “builder-in-chief” — the executive responsible for translating Sam Altman’s ambitious vision into operational reality. Before OpenAI, Brockman was the CTO of Stripe, where he joined as the company’s third employee and built out its technical infrastructure from the ground up. He left Stripe in 2015 to co-found OpenAI alongside Altman, Ilya Sutskever, and others.
Brockman took a leave of absence from OpenAI in August 2024 but returned in November 2024 with a renewed focus on the company’s most pressing technical challenges. Since his return, he has taken the lead on OpenAI’s massive infrastructure buildout, including the Stargate Project — a partnership with AMD and others involving roughly $1.4 trillion in planned compute deployment across data center mega-campuses. In early October 2025, Brockman and AMD CEO Lisa Su announced a multiyear deal worth tens of billions of dollars to deploy hundreds of thousands of AMD chips.
Beyond infrastructure, Brockman has been a key figure in OpenAI’s organizational evolution from a nonprofit research lab to one of the most valuable private companies in the world. His engineering-first leadership style complements Altman’s product and business focus, making him instrumental in shipping products like GPT-4, ChatGPT, and the API platform that powers thousands of applications. He appeared at CES 2026 to showcase OpenAI’s latest infrastructure and product developments.
Career Highlights
- OpenAI (2015-present): Co-founder and President
- Stripe (2010-2015): First CTO, joined as third employee
- Stargate Project: Leading trillion-dollar AI infrastructure buildout
- AMD Partnership (2025): Multiyear deal for hundreds of thousands of chips
- Leave and return (2024): Took sabbatical, returned with infrastructure mandate
Key Quotes
- “The most important thing is making sure we have enough compute.”
- Builder-in-chief: translating research breakthroughs into production systems at scale.
Related Reading
- Enterprise AI - The infrastructure powering enterprise adoption
- Application Over Training - The shift from pure research to products