9:00 AM PDT - Thursday, Jun 4
TechEquity Ai, DH14
Join us at the AI Pop Up for a session with TechEquity Ai, with a mission to democratize AI knowledge for everyone. Learn about their community of founders, builders and leaders working to make AI accessible and equitable through summits, workshops and year-round programs. Whether you’re new to AI or deep in the field, come discover how TechEquity Ai is removing barriers and creating opportunity for all.
10:00 AM PDT - Thursday, Jun 4
Dev Day Opening, L1
Join us as Snowflake's CEO, Sridhar Ramaswamy, delivers opening remarks.
The Future of Software in the wake of OpenClaw – A conversation with “ClawFather” Peter Steinberger, L2
The explosive rise of OpenClaw signals more than just a viral project—it’s a glimpse into how quickly AI agents are reshaping the foundations of software. In this candid conversation, Sridhar Ramaswamy and Peter Steinberger explore what happens when the stack itself becomes fluid, with agents generating, modifying, and orchestrating systems in real time. What breaks when traditional boundaries disappear? As developers experiment with agent-driven workflows, what patterns are emerging—and which assumptions no longer hold? A forward-looking discussion on how to build in this new era: more agentic, more collaborative, and more open.
Meet a Data Superhero: AI-Ready Data, DH15
Join us at the AI Pop Up to meet Data Superheroes and talk about making your data AI-ready. This is an open, informal session — no presentations, just real conversation about governance, data quality, and structuring data for LLMs and retrieval on Snowflake. Bring your toughest data challenges and connect with like-minded practitioners.
When Agents Are Your Users: Architecting the New Application Layer, L3
AI agents are the new end-users. In this luminary talk, Vercel CTO Malte Ubl will break down the new application layer — where autonomous agents are rapidly becoming the primary consumers of your code. Malte will share a builder-focused framework for the agent archetypes working in production today. Learn to architect systems that compress research pipelines, query fragmented data and automate boilerplate workflows. What happens to your APIs and UIs when they are used by agents rather than humans? Join us to learn how to adapt your stack for the agentic era and transition from writing static syntax to orchestrating systems.
11:00 AM PDT - Thursday, Jun 4
The End of Coding as We Know It: How Agent Systems Will Change Software Development, L4
As AI agents evolve from assistants to autonomous collaborators, software engineering is undergoing its biggest transformation since the rise of the cloud. In this talk, Tido Carriero, VP of Engineering at Cursor, explores what it means to build software in a world where agents — not code — are the atomic unit. He’ll highlight how agent-driven workflows are reshaping the software development lifecycle, team dynamics and developer productivity. This session offers a forward-looking perspective on agent systems and how builders can adapt to an AI-native world.
Snowflake Startup Challenge Finale Live Stream, AD101-LS
Experience the 2026 Snowflake Startup Challenge Finale, held during Snowflake Dev Day in San Francisco. This annual competition draws hundreds of early-stage startups Powered by Snowflake, all vying to fuel AI innovation, gain global exposure and compete for up to $1 million in investments from Snowflake Ventures. Now in its sixth year, the Snowflake Startup Challenge — sponsored in partnership with the New York Stock Exchange — continues to spotlight and invest in the most innovative startups building on Snowflake. Join us as the top three finalists present their groundbreaking AI-driven solutions to an expert panel of judges, leading to the exciting announcement of this year’s grand prize winner.
Snowflake Startup Challenge Finale, AD101
Experience the 2026 Snowflake Startup Challenge Finale, held during Snowflake Dev Day in San Francisco. This annual competition draws hundreds of early-stage startups Powered by Snowflake, all vying to fuel AI innovation, gain global exposure and compete for up to $1 million in investments from Snowflake Ventures. Now in its sixth year, the Snowflake Startup Challenge — sponsored in partnership with the New York Stock Exchange — continues to spotlight and invest in the most innovative startups building on Snowflake. Join us as the top three finalists present their groundbreaking AI-driven solutions to an expert panel of judges, leading to the exciting announcement of this year’s grand prize winner.
12:00 PM PDT - Thursday, Jun 4
User Group Meetup: US / Bay Area, DH16
Join us at the AI Pop Up for the Bay Area User Group Meetup! Connect with Snowflake practitioners from one of the world’s most vibrant tech communities. Whether you’re building AI-powered applications, scaling data pipelines or exploring new Snowflake capabilities, this is your chance to meet peers, share insights and grow your local network.
1:00 PM PDT - Thursday, Jun 4
Grow Your Career in the Age of AI - AMA, L5
The workforce is at a breaking point. Between a volatile tech market and the rise of autonomous AI, the traditional career ladder has been shifting and considered a moving target. But disruption is the greatest catalyst for growth. We are entering the agentic era — a frontier where AI doesn't just assist but acts. This session explores how industry veterans and newcomers alike can stop playing defense, master the art of AI collaboration and pivot their skill sets to thrive in the new economy. Where there is disruption there is massive opportunity. This is the moment to reskill and pivot to meet the demands of the rapidly expanding landscape created by the agentic era. Join Snowflake’s Chief People Officer, Arnnon Geshuri, as he leads a cross-disciplinary panel of luminaries covering venture capital, academia and the economy. They share their insights and answer your questions in an interactive and candid AMA.
Turning AI Predictions into Real-World Water Solutions, ML102
Water is our most vital resource, yet its quality remains a global puzzle. Using some of the 26 million data points from the UN Environment Programme, participants of the 2026 EY AI and Data Challenge developed ML models to uncover the environmental drivers of water quality. But how do we move from a challenge competition to real-world usability? This panel explores the commercialization roadmap for water-quality AI. We address: Expanded data needs Improvements to model accuracy Funding and partnerships
Women X AI, DH17
Join us at the AI Pop Up for a session with Women X AI, a community dedicated to amplifying women’s voices, leadership and impact in artificial intelligence. Learn about their network of founders, researchers and builders working to ensure women are not just included in AI — but leading it. Whether you’re a builder, strategist or just getting started, come connect, get inspired and discover how to get involved.
2:00 PM PDT - Thursday, Jun 4
Accelerate AI Development: Build and Evaluate a RAG App with Snowflake CoCo, AI271
Across three modules, participants progress from foundational LLM concepts to a fully evaluated retrieval-augmented generation (RAG) pipeline and a natural language text-to-SQL interface. Throughout, Snowflake CoCo serves as an AI coding assistant, helping participants generate, understand and debug Snowflake SQL and Python in real time. By the end of this lab, you will be able to: Build a production RAG pipeline using Snowflake Cortex Search and Snowflake Notebooks Use Snowflake CoCo to accelerate development with AI-generated SQL and Python Implement text-to-SQL to give business users natural language access to structured data Evaluate LLM response quality using an LLM-as-judge scoring framework
Building an End-to-End AI Application on Snowflake: From Data to Intelligence, AI307
Build a complete AI retail app entirely in Snowflake. Start by using Snowflake CoCo to generate SQL and dbt models for metrics such as CLV. Next, train a GPU-accelerated XGBoost model in Snowflake Notebooks, register it, and deploy it as a service. To handle OLTP, use Snowflake Postgres and sync data to Apache Iceberg on S3, demonstrating lakehouse interoperability with pg_lake. Finally, unify the stack with Snowflake CoWork, a conversational interface orchestrating Snowflake Cortex Analyst, Snowflake Cortex Search and your ML models for a seamless analytical experience.
The Autonomy Paradox: Will Humans Always Be in the Loop?, L6
The industry is racing toward fully autonomous agents, yet enterprise deployments keep hitting the same barrier: production-grade confidence. Is full autonomy really the end goal, or will human-in-the-loop remain a permanent and essential layer of enterprise AI? And beyond autonomy, what other paths can give enterprises the confidence required for production use?
The Rise of the Agentic Harness, L7
AI agents are starting to do real software work: reading context, navigating codebases, using tools, running commands, validating changes, and asking for review. That changes what matters around the model. In this luminary talk, Romain will explore the rise of the agentic harness: the environment that gives agents the context, tools, boundaries, and feedback they need to be useful. He’ll also share how the developer experience is being reimagined as agents become a new kind of user for developer platforms, with different needs around documentation, APIs, permissions, and more. The session will include live Codex demos showing how these ideas come to life in real software workflows.
3:00 PM PDT - Thursday, Jun 4
Paving the Roads for Agents: Rebuilding Infrastructure for the Autonomous Era, L8
Dropping an autonomous AI agent into a traditional software pipeline is like putting a sports car on a dirt road—it will inevitably break down. Today's enterprise tech stacks were built exclusively for human engineers. So, what happens when your most active code contributors become machines? In this session, Factory Co-Founder and CTO Eno Reyes explores the fundamental infrastructure shift required to support an autonomous engineering workforce. Moving beyond simple code generation, Eno will discuss the industry-wide necessity of "paving the roads" for agentic systems. He will illustrate how the entire Software Development Life Cycle (SDLC) must evolve, offering builders a practical framework for transitioning to agent-native environments. Attendees will learn how to establish the deterministic guardrails, AI-readable APIs, and robust data foundations necessary for autonomous systems to build, test, and deploy at full speed.
Winning When Code Is Free: How Developers Build AI Startups That Scale, L9
As coding costs approach zero and technical moats disappear, the advantage shifts from engineering to strategy. This talk shows developers how to build companies that win through product-led growth, distribution, network effects and community integration, and how these factors align with what investors look for in scalable AI startups.