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No Priors Ep. 23 | With Snowflake's CEO Frank Slootman

Frank Slootman, CEO of Snowflake Computing, joins Sarah Guo and Elad Gil this week on No Priors. Before scaling Snowflake to its blockbuster IPO and beyond, Frank was also the CEO from early to scale for landmark enterprise companies ServiceNow and Data Domain. Frank grew up in the Netherlands and is also the author of three books: Amp It Up, Rise of the Data Cloud, and Tape Sucks. In this episode, our hosts talk with Frank about the opportunity for generative AI in the enterprise, why Snowflake isn't really a data warehousing company, their acquisitions of Neeva and Streamlit, apps within Snowflake, and how AI relates to traditional analytics and BI. He also talks about his personal journey, why it's always a good time to do performance management, and why most leaders struggle to raise the bar for performance. ** No Priors is taking a summer break! The podcast will be back with new episodes in three weeks. Join us on July 20th for a conversation with Devi Parikh, Research Director in Generative AI at Meta. ** 00:00 - Frank’s Insights on Career Success as a three-time CEO 12:42 - The Message of his Book Amp It Up 25:01 - Future of Natural Language and Data 36:29 - Data Management and Industry Transformation Future 45:13 - Managing Resources in Changing Economic Environment 50:09 - Amping Up Energy and Intensity Amid Economic Headwinds

Sarah GuohostFrank SlootmanguestElad Gilhost
Jun 28, 202351mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Frank Slootman on urgency, data clouds, and AI’s real frontier

  1. Frank Slootman discusses his career arc across Data Domain, ServiceNow, and Snowflake, emphasizing how deliberate choices of industry, company, and culture combine with relentless execution to create outsized outcomes.
  2. He explains Snowflake’s evolution from a “cloud data warehouse” perception to a full-spectrum data cloud and application platform built on separating storage and compute and bringing work to the data rather than re-siloing it.
  3. On AI, Slootman distinguishes hype around large language models from the harder, higher-value problem of reasoning over proprietary, structured enterprise data with strong governance, search, and domain-specific models.
  4. Throughout, he returns to themes from his book ‘Amp It Up’: cultivating urgency, pruning organizations continuously instead of via mass layoffs, and using culture to attract people who can thrive in a high-intensity environment.

IDEAS WORTH REMEMBERING

5 ideas

Choose industry and company deliberately; role is secondary.

Slootman argues you’ll have many roles, but your trajectory is largely set by the industry you enter and the quality of the company and people around you, so optimize those rather than chasing a perfect first title.

Leaders must actively create urgency and confrontation.

Left alone, organizations drift toward low tempo and avoidance; CEOs and managers need to “amp it up” in every meeting, email, and decision, driving tempo, standards, and alignment even when it feels uncomfortable.

Culture should sort people in and out by design.

A high-intensity culture is meant to attract those who thrive on pace and accountability and to push out those who don’t; losing people who can’t handle the environment is a feature, not a bug.

Bring work to the data to avoid destructive siloing.

Snowflake’s data cloud vision centers on consolidating data and running diverse workloads (analytics, ML, transactional, apps) inside one governed perimeter, rather than spinning up new app-specific databases and pipelines for every use case.

AI value in enterprises hinges on structured, governed data.

LLMs are transformative for natural language access, but mission-critical questions in domains like insurance, healthcare, and pharma require models grounded in high-quality, well-organized proprietary data, not just web-scale text.

WORDS WORTH SAVING

5 quotes

You need to have a reason to get up in the morning and have something to prove.

— Frank Slootman

Leaders need to drive tempo and pace and intensity and urgency, because people naturally slow down.

— Frank Slootman

The work comes to the data. The data does not go to the work.

— Frank Slootman

If they leave, they should leave. Culture sorts and sifts.

— Frank Slootman

Data doesn’t have opinions. It just is what it is.

— Frank Slootman

Career decisions, immigration, and choosing the right “elevator” (industry/company)Building and scaling Data Domain, ServiceNow, and SnowflakeLeadership philosophy: urgency, confrontation, culture, and talent densitySnowflake architecture and strategy: data cloud, multi-cloud, and anti-siloingAI in the enterprise: LLMs vs. proprietary structured data and domain modelsGovernance, data quality, and application development within Snowflake (Snowpark, Streamlit, Neeva)Managing through macro shifts: consumption pricing, pruning, and running in downturns

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