Bring your community with up to 30% discount. Register here.
Bring your community with up to 30% discount. Register here.
THIS WEEK ONLY: Buy one pass, get a second at 50% off. Register here.
October 13 – 15, 2026 — San Francisco
Arvind Jain is the Founder and CEO of Glean, the Work AI platform connected to all your data that allows you to find, create, and automate anything. He oversees the overall direction and strategy of the company, aiming to transform the way knowledge workers interact with AI to enhance their productivity and creativity. Prior to Glean, Arvind co-founded and led R&D at Rubrik, one of the fastest-growing companies in cloud data management. Arvind also spent over a decade at Google as a distinguished engineer, where he led teams in Google’s Search, Maps, and YouTube products. Earlier in his career, Arvind held leadership positions at Akamai and Microsoft. He earned his BTech in Computer Science from the Indian Institute of Technology, Delhi, and his Masters in Computer Science from the University of Washington.
Is the SaaS playook dead, or is it just evolving? This session brings together founders and platform leaders who are grappling with that question in real time – and coming away with real answers. Walk away with a sharper understanding of how to price AI products sustainably, how to build defensible moats when models are commoditizing, and how to make SaaS work in the AI era.
Jeff Lawson builds and scales companies that redefine what is possible. He’s the Co-Founder and CEO of Inertia, the commercial fusion energy company. There, he is taking the only proven physics for fusion energy ignition and bringing it to the grid. A serial founder and inventor, Jeff scaled Twilio as its co-founder and CEO into a public company with over $4B in revenue and 300,000 worldwide customers. He defined the business model of Infrastructure as a Service (IaaS) as the first product leader at Amazon Web Services from 2004 to 2006, and was the founding CTO of StubHub. He also owns The Onion.
Inertia Enterprises CEO Jeff Lawson joins us for a candid fireside chat about his journey from founding Twilio to leading one of the world’s best funded fusion power startups. Hear what it will take to get fusion power out of the lab and onto the grid, and how his experience scaling Twilio is informing the Inertia’s approach to talent, timelines, and the hard engineering questions ahead.
Robby Stein is Vice President of Product, Google Search, working on the development of generative AI products and experiences that help people search and access information effortlessly. Robby started his career at Google in 2007 where he worked on new product launches for Gmail and ads. Today, Robby has over 17 years of experience as a product leader and entrepreneur, and several products Robby and his teams have built are now among the most widely used in the world. Before rejoining Google in 2024, he was the Head of Product at Artifact, an AI-powered newsfeed. Robby also led consumer products at Instagram for 5 years – where he built and scaled the products and teams around Stories, Feed, Direct Messaging and Reels. Prior to these, Robby was the co-founder and CEO of Stamped, a social recommendations startup acquired by Yahoo in 2011.
The instincts that win when building your first minimum viable product can break you at a billion-user scale. In this fireside, Robby Stein, VP of Product at Google, shares how product decision making changes when every update impacts billions of users. Hear how teams balance speed with trust, and innovation with reliability, at one of the world’s largest product organizations.
Prior to joining Databricks, Arsalan was an Associate Principal at McKinsey and Company, where he advised enterprises, vendors, and the public sector on a broad spectrum of strategic topics, including next-generation IT, cloud computing, and big initiatives as well as general IT and corporate strategy. Arsalan received a PhD in computer science from UC Berkeley in the area of Networking and Distributed Systems and a B.Eng from the University of Virginia.
AI is running inside the most sensitive enterprise systems in the world, making autonomous decisions at a speed and scale that traditional security frameworks were never designed to handle. This session delivers the infrastructure-level view of what enterprise AI security actually requires in 2026, from observability and governance to the architectural principles that separate deployments enterprises can trust from ones they cannot afford to touch.
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