Jun 29, 2023 · 51m · no-priors
No Priors Ep. 23 | With Snowflake's CEO Frank Slootman
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In this episode of No Priors, Snowflake CEO Frank Slootman details his high-intensity operational leadership philosophy and examines Snowflake's architectural transformation into a multi-cloud Data Cloud. He also explores the critical role of governed proprietary data in enterprise generative AI and conversational analytics.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 14.5% of the talking time here. How this is scored →
The hosts as informed peer 4.4 Guest teaching 4.8 Guest disagreement 4.2 The hosts pushing back 1.1
speaking balance: gold is the hosts, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 11:30 Calling customer success total bullshit
Frank forcefully dismisses an established Silicon Valley business function, stating directly that he killed customer success at every company and considers it complete nonsense.
Hardest push from the hosts ▶ 14:15 Sarah challenges Frank on talent retention fearsSarah directly questions Frank's high-pressure management framework by raising the risk of losing talent in a competitive marketplace if leadership pushes too hard.
Biggest teaching moment ▶ 26:18 Schooling the room on LLMs versus structured enterprise dataFrank sharply delineates consumer LLM capabilities from proprietary enterprise problems, illustrating why language models alone cannot answer complex actuarial questions in insurance.
The host holds their own ▶ 5:38 Elad details Frank's multi-company track recordElad demonstrates command of Frank's executive history by citing specific revenue figures, IPOs, and acquisitions across Data Domain, ServiceNow, and Snowflake.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The hosts as informed peer | Guest teaching | Guest disagreement | The hosts pushing back | Why |
|---|---|---|---|---|---|---|
| Frank Slootman's Early Background and Immigrating to the US | 3 | 3 | 4 | 1 | Sarah sets up biographical questions regarding Frank's background in Holland and his early career. Frank offers sharp, opinionated guidance against joining consulting firms right out of school. | |
| Prioritizing Industry Over Role and Frank's First Corporate Job | 5 | 5 | 4 | 1 | Elad demonstrates knowledge of Frank's career milestones across Data Domain and ServiceNow, though Frank promptly corrects the record that Data Domain had zero revenue, zero customers, and an unusable product when he started. | |
| Distilling Execution Principles in Tape Sucks and Amp It Up | 4 | 4 | 5 | 1 | Elad praises Frank's book Tape Sucks and asks what motivates him to write. Frank explains his dense, unfiltered style and bluntly dismisses conventional Silicon Valley concepts like customer success as bullshit. | |
| Instilling Urgency, High Standards, and Direct Confrontation | 4 | 5 | 5 | 2 | Sarah asks why leaders fail to drive urgency. Frank compares typical human behavior to a glacial California DMV and argues leaders must constantly seek out confrontation. | |
| Cultural Sorting and Retaining the Right DNA | 4 | 6 | 6 | 2 | Sarah questions talent attrition risks and introduces Snowflake as a data warehouse. Frank pushes back on both, asserting that mismatched talent should leave and stating he has an allergic reaction to describing Snowflake as a data warehouse. | |
| The Data Cloud Vision, Eliminating Silos, and Snowpark | 3 | 5 | 3 | 0 | Frank delivers an extended explanation of Snowflake's architectural evolution, detailing multi-cloud capabilities, bringing compute to data to eliminate silos, and the Snowpark programmability layer. | |
| The Reality of Generative AI and LLMs in Enterprise Contexts | 5 | 6 | 4 | 1 | Elad asks how enterprise AI demands have evolved following ChatGPT's release. Frank draws a clear line between conversational consumer tasks and the structured, proprietary data analysis required in enterprise business contexts. | |
| Search as Information Discovery and the Acquisition of Neeva | 5 | 4 | 3 | 1 | Sarah mentions Neeva as a former portfolio company. Frank details how search and natural language interfaces will transform ad-hoc business intelligence queries while traditional dashboards remain for guided reporting. | |
| Integrating Streamlit and Ensuring Enterprise Data Governance | 4 | 6 | 5 | 1 | Sarah asks about the rationale behind acquiring Streamlit. Frank explains bringing Python visualization inside the secure governance perimeter, deriding unregulated data lakes as landfills. | |
| Pure Cloud Architecture and Supply Chain Transformation with Blue Yonder | 5 | 5 | 3 | 1 | Sarah asks about customer architectural migration challenges. Frank illustrates pure cloud architecture advantages using the Blue Yonder supply chain re-platforming as an example of breaking isolated data containers. | |
| Transforming Vertical Industries Through Predictive Data and Snowflake R&D | 5 | 4 | 3 | 1 | Elad asks about future technical thrusts and R&D allocation. Frank highlights how granular data enables predictive healthcare and pharma patent runway compression. | |
| Evaluating Consumption-Based Pricing in a Tightening Macro Environment | 5 | 4 | 4 | 1 | Elad inquires about the durability of consumption pricing in a downturn. Frank defends consumption models as more equitable than SaaS lock-in, acknowledging investors dislike it during contractions. | |
| Operational Discipline, Continuous Talent Pruning, and Navigating Downturns | 5 | 5 | 5 | 1 | Elad asks for operational advice during macro downturns. Frank criticizes large tech companies for avoiding regular talent pruning and resorting to massive, disruptive layoff rounds. |
Statements from this episode (27)
Slootman: Graduates should avoid management consulting for real economy operating roles
“Don't go working for some consulting firm, you know, out of school, right? Try to get a real job in the real economy, building real products, selling real products. He says, you really need to feel what it's like, you know, to sort of be in the drive train of …”
Slootman: Data Domain had zero revenue and 15 employees when he joined
“That was, they had no revenue, no customers, nothing. There were 15 people there.”
Slootman: Data Domain generated $3M in revenue during his first year
“So we stayed alive and we did do that three million dollars that first year.”
Slootman: Customer success departments are the 'biggest bullshit' in Silicon Valley
“Yeah, we, I did kill customer success at every company I've been in. I think it's the biggest bullshit thing that goes on in Silicon Valley.”
Slootman: Organizations decelerate to a glacial pace unless leaders drive intensity
“This is what naturally happens to human beings. It's just, it's innate. We slow down to a glacial pace unless there are People who are going to drive tempo and pace and intensity and urgency. That's what leaders need to do because people naturally slow down.”
Slootman: The CEO role is insanely confrontational, countering natural human instincts
“CEO jobs are insanely confrontational, which is not human nature. We don't like it. We aren't naturally confrontational. We avoid it.”
Slootman: High-intensity cultures naturally filter out employees lacking the company's DNA
“Culture shorts and sifts. You attract the right ones and you start losing the wrong ones. So it's actually quite perfect. If people are leaving, they're just not your DNA. They're not your blood type.”
Slootman: There is no universally good culture, only what enables the mission
“Culture is not a general thing. There's no such thing as general goodness. I mean, a culture needs to really enable your mission, right? And whatever, whatever enables your mission effectively is, is a good culture. There's no universal culture. That's good.”
Slootman: Snowflake founders turned Oracle into an enterprise platform via parallel SQL
“Our founders were two French guys, long time, you know, Oracle CTOs, technologists architects. They were really responsible for making Oracle from the departmental level. You probably can't remember that far back, but Oracle at one point in time was a departme…”
Slootman: Data warehousing is no longer a market, just a workload
“I have an allergic reaction every time I hear data warehousing, because To me, it's just a type of workload now. It's no longer a market.”
Slootman: A data cloud cannot exist on a single public cloud platform
“We don't think, you know, you can have a data cloud in a single public, on a single public cloud platform. By definition, you can't, right?”
Slootman: Applications must run inside data platforms to prevent governance breaches
“Historically a database was just, you know, a platform that was self-contained and it had standard interfaces like ODBC and JDBC that you, that the application used to access the data. Now it's like, well, wait a second, you know, we don't want to operate that…”
Slootman: Natural language interfaces will massively expand enterprise data demand
“Going to natural language is like, it's like the last mile here. And that is, is an enormous thing. I mean, the effect on demand will be just enormous because every mortal, if you're semi literate, maybe not even literate, you can just talk, you know, you can …”
Slootman: Large language models alone cannot answer proprietary enterprise data questions
“When you're in the enterprise, you're dealing with structured proprietary data and, you know, they're not planning trips to Yellowstone. They're gonna, you know, they're gonna ask really hard questions... Believe me, you're not going to get the answer to that …”
Slootman: Domain models on proprietary data will deliver instant analytical insights
“The systems will be able to start giving you insight into those kinds of questions... Imagine in medical, we have diagnostic models, you know, and we have all these different, you know, levels of intelligence that we can build. That as long as they have the da…”
Slootman: Traditional BI and dashboard tools will survive conversational AI
“I think that there still will be a future for BI companies, business intelligence, sort of, Tableau's, Looker's World. And, you know, dashboarding is done for a number of reasons. Sometimes it's just, you know, basically providing data in the consumable format…”
Slootman: Snowflake uses internal natural language queries on Salesforce data
“For ad hoc, you know, nothing is going to be better than the natural language. I, at least I'm already using it. You know, we push Salesforce data into what we call Snowhouse. That's our internal Snowflake database.”
Slootman: Natural language interfaces will severely disrupt traditional BI
“Anybody semi-literate will be able to get, you know, way more value than they ever imagined from the data. And it will change, you know, how products Get used. I mean, BI will not be the same. I think I see that as severely affected by this evolution”
Slootman: Snowflake spent two years making Python secure for enterprise data
“We spent two years, you know, making Making Python non-porous. And it was an enormous effort to do that.”
Slootman: Data lakes are 'landfills'; AI requires highly organized, sanctioned data
“In a world of AI, if you don't have highly organized, optimized, sanctioned, and trusted data, what do you want, you know, your models to do? Just kind of train on, on, on a data lake. I call it a landfill. You know, I mean, you have no idea what the hell is i…”
Slootman: Federal contracts remain a very small part of Snowflake's business
“Federal is, is, is a very small part Of our business, because we spent, we're in the process for years and years and years to meet those standards.”
Slootman: Supply chain management is stuck in 30-year-old spreadsheets
“Supply chain management is an email spreadsheet business. I mean, they're still living in, in, in the world of Microsoft, 30 years ago.”
Slootman: 90% of customer talks focus on use cases, not architecture
“Nine out of 10 conversations I have with customers are not technology and architecture and all that and migrations. It's about industry use cases.”
Slootman: Traditional SaaS subscription contracts are inequitable to enterprise customers
“You know, when I was at ServiceNow, you know, I always felt that it was not an equitable relationship that we have with our customers. Cause oftentimes, you know, they would sign up with us for many millions of dollars and It took them nine months to even get …”
Slootman: Investors dislike consumption pricing in downturns despite benefits to customers
“If you're in a SaaS subscription model, they got to wait for their next drill before they can start cutting off a limp here. Whereas with us, you can do it in near real time. Investors don't like it. I understand because they love it on the way up. They just h…”
Slootman: Snowflake avoids mass layoffs by continuously pruning underperforming staff
“We don't do layoffs because we don't wait until there is a, you know, huge headwind. We're always pruning the tree, so to speak, right? So we don't have to do it as some massive event that is super unsettling.”
Slootman: High performers welcome increased intensity, energy, and high standards
“Don't be afraid, you know, that people will react poorly to it. They won't. The good people will actually love it. And especially if you're in the leadership role and who isn't, you know, this is really what people want. They want to inject energy and focus an…”