No Priors Ep. 139 | With Snowflake CEO Sridhar Ramaswamy

Snowflake is moving beyond the data warehouse. Its new Snowflake Intelligence is an agentic platform for every employee, not just data teams. Sarah Guo sits down with Snowflake CEO Sridhar Ramaswamy to discuss his first 18 months at the helm, as well as the massive pivot to make the data giant AI-first. Sridhar talks about Snowflake Intelligence, the company's new AI agent platform, and its implications for enterprise data management. They also explore how Sridhar navigates partnerships with major tech companies, how he fosters a culture of continuous improvement within the organization, and how he envisions Snowflake’s future as an integral data-driven enterprise solution. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Snowflake Chapters: 00:00 – Sridhar Ramaswamy Introduction 00:42 – Snowflake’s Market Adaptation 03:14 – Snowflake’s Evolution and AI Integration 05:44 – Introducing Snowflake Intelligence 09:01 – Snowflake Intelligence User Experience 11:55 – Drawing the Line Between Data, Agent System, and App 13:30 – Leadership and Organizational Changes 16:19 – How Being an Investor, Entrepreneur Informed Sridhar’s Leadership 18:50 – Importance of Product-Market Fit 22:46 – Snowflake’s Strategic Positioning 27:10 – Snowflake’s Partnership Strategy 30:20 – How Sridhar Sees the ROI of AI 35:09 – How AI Changes the Ad Model 38:15 – Why LLMs Still Need Search 42:11 – Conclusion

Sarah GuohostSridhar Ramaswamyguest

Nov 6, 202542mWatch on YouTube ↗

EPISODE INFO

Released: November 6, 2025
Duration: 42m
Channel: No Priors
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

Snowflake is moving beyond the data warehouse. Its new Snowflake Intelligence is an agentic platform for every employee, not just data teams. Sarah Guo sits down with Snowflake CEO Sridhar Ramaswamy to discuss his first 18 months at the helm, as well as the massive pivot to make the data giant AI-first. Sridhar talks about Snowflake Intelligence, the company's new AI agent platform, and its implications for enterprise data management. They also explore how Sridhar navigates partnerships with major tech companies, how he fosters a culture of continuous improvement within the organization, and how he envisions Snowflake’s future as an integral data-driven enterprise solution. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Snowflake Chapters: 00:00 – Sridhar Ramaswamy Introduction 00:42 – Snowflake’s Market Adaptation 03:14 – Snowflake’s Evolution and AI Integration 05:44 – Introducing Snowflake Intelligence 09:01 – Snowflake Intelligence User Experience 11:55 – Drawing the Line Between Data, Agent System, and App 13:30 – Leadership and Organizational Changes 16:19 – How Being an Investor, Entrepreneur Informed Sridhar’s Leadership 18:50 – Importance of Product-Market Fit 22:46 – Snowflake’s Strategic Positioning 27:10 – Snowflake’s Partnership Strategy 30:20 – How Sridhar Sees the ROI of AI 35:09 – How AI Changes the Ad Model 38:15 – Why LLMs Still Need Search 42:11 – Conclusion

SPEAKERS

Sarah Guo
host
Sridhar Ramaswamy
guest

EPISODE SUMMARY

In this episode of No Priors, featuring Sarah Guo and Sridhar Ramaswamy, No Priors Ep. 139 | With Snowflake CEO Sridhar Ramaswamy explores snowflake CEO on Reinventing Data Cloud for Enterprise AI Future Snowflake CEO Sridhar Ramaswamy describes his first 18 months leading Snowflake through a rapid transformation from a pure data warehouse into an AI-first data platform. He explains organizational changes to increase accountability and iteration speed, the strategic pivot away from building foundation models, and the creation of Snowflake Intelligence—an opinionated, agentic layer focused on faster, trustworthy value from enterprise data. Ramaswamy outlines how Snowflake positions itself between cloud hyperscalers and model providers, using partnerships and a data-first abstraction layer for durability. He also shares perspectives on enterprise AI ROI, the evolving ads model, and why search, eval loops, and traditional retrieval still matter in an LLM-dominated world.

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