ASSISTANT: Rita Murray rmurray@greylock.com

Jason works with entrepreneurs who are driving AI-enabled advances in software, infrastructure, and security.

He joined Greylock in 2019, bringing with him a lifelong immersion in data and machine learning. Coming of age in the “Moneyball” era of baseball bred Jason’s fascination with statistics. While his dream job of becoming the general manager for the San Francisco Giants hasn’t panned out (yet), his love of using data to understand anomalies endured.

Jason invests in technologies that matter and will shape the global landscape over the coming decades, like cybersecurity, machine learning, and creating robust and scalable cloud infrastructure.

Security presents a critical battleground as enterprises work to secure environments from nation state and other bad actors armed with increasingly sophisticated AI-powered offensive cyber. Jason is excited about companies leveraging ML and automation defensively to combat the security talent shortage, as well as the evolving role of the security professional as security and engineering fields come together.

ML is likewise transformational, as the next generation of enterprise and consumer companies will be designed around ML at their core. Jason works with founders building the infrastructure enabling companies to adopt LLMs across internal functions and integrate ML into their product lines.

Jason and Jerry Chen maintain Greylock’s Castles in the Cloud series, a project mapping companies against cloud services and investigating how to build enduring cloud businesses independent of the hyperscalers.

Prior to Greylock, Jason worked at the AI Fund startup studio with Stanford Professor Andrew Ng, where he launched AI-enabled vertical SaaS startups, including those recognized by CBInsights AI100 and the World Economic Forum’s Technology Pioneers list. Previously, he was a management consultant at McKinsey’s tech practice in the Bay Area.

Jason first got involved with startups as a part of the business operations team during a high-growth period at Opendoor, where he optimized pricing models and purchasing processes to improve unit economics. There, while spending half of his time with the data science team and the other half in the field with real estate brokers, he got a taste for cross-functional collaboration, company-building, and scaling culture.

Jason graduated Phi Beta Kappa from Stanford with a B.S. in Mathematical and Computational Science and an M.S. in Statistics with a focus on machine learning. While at Stanford, he received the J.E. Wallace Sterling Award for Scholastic Achievement and was also a Mayfield Fellow. He is an avid reader of sci-fi, fantasy, history, and geopolitics, and spends much of his free time hiking in his home county of Marin when not rooting for the Stanford Cardinal, Warriors, or Giants.


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