Grant Lee is the co-founder and chief executive of Gamma, an AI-powered visual storytelling platform for creating presentations, websites, and documents. A former startup finance and operations leader, he built the company around two convictions: communicating an idea should not require mastering slide design, and serving millions of customers should not automatically require hundreds of employees.
Lee earned a bachelor’s degree in biomechanical engineering and a master’s degree in mechanical engineering at Stanford before moving into consulting and investment banking. He joined Optimizely in 2013, worked in strategic finance, and eventually served as interim chief financial officer. He later became chief operating officer of ClearBrain, a predictive-analytics startup subsequently acquired by Amplitude.
The frustrations of producing presentations followed him throughout those roles. In 2020, Lee reunited with former Optimizely colleagues James Fox and Jon Noronha to develop Gamma. The product launched publicly in 2022 and introduced generative AI in 2023, turning a familiar blank-slide problem into a broader effort to simplify visual communication.
By November 2025, Gamma reported 70 million users, more than $100 million in annual recurring revenue, and profitability with approximately 50 employees. Its $68 million Series B valued the company at $2.1 billion and included liquidity for early employees. Its expanding product portfolio included Gamma Agent, AI image editing, and a public API.
How Lee thinks about building
- Content-first visual storytelling. Gamma shifts attention from aligning boxes and manipulating templates toward developing ideas, allowing users without advanced design skills to produce polished presentations, websites, and documents.
- Multidisciplinary generalists. Lee hires people who combine genuine expertise with adjacent capabilities. A designer who can interview users, write prototypes, and understand engineering constraints can carry an idea further without repeated handoffs. He also considers teaching ability evidence that candidates understand their craft deeply enough to help colleagues improve.
- Player-coach leadership. Experienced managers remain directly involved in the work while mentoring teammates. Engineering leaders who still write code, for example, can make technical trade-offs and adjust priorities quickly as AI products evolve.
- Culture as operating infrastructure. Gamma maintains a continually revised culture deck, shares company metrics, and runs internal demonstrations using its own product. Lee also favors founders learning unfamiliar functions firsthand before recruiting specialists and uses work trials to reduce uncertainty in ambiguous roles.
At the AI Engineer World’s Fair, Lee described Gamma serving 50 million users with approximately 30 employees. He emphasized that lean growth still requires deliberate investment: robust experimentation infrastructure, shared organizational context, and hiring processes that test how candidates investigate difficult problems before proposing solutions.
