Ron Gabrisko
Chief Revenue Officer, Databricks. On 2 shows, 2 appearances. The Shows tab opens the full record on each.
executiveoperatorLinkedIn ↗databricks.com ↗
Serving as CRO of Databricks since 2016, Gabrisko built and scaled the company's global sales and go-to-market organization from under $1 million ARR into a multi-billion-dollar enterprise software business. Prior to Databricks, he held executive sales positions at Axway Software and Cloudera.
2shows
2appearances
56statements
8resolved
4supported
4contradicted
50%fully supported
2said about them ↓ Everything Ron Gabrisko said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Ron Gabrisco predicts Databricks will become a trillion-dollar company
“I think Databricks is a once in a lifetime type company. It will be a trillion dollar company. Somebody in that data and AI space will become a trillion dollar company, and we're the innovation leaders. I think we can do it, right?”
Databricks has migrated eight of Snowflake's top 10 customers
“We've done 250. Snowflake, the Databricks migrations, eight of their top 10.”
Databricks rejected a $10M on-premise deal from JPMorgan to stay cloud-only
“They're like, we'll give you ten million bucks to put this, and at the time, we're less than a million, like our whole first-year target's like ten million, to put it on-prem. And Ali was like, no way, we're not doing anything on-prem.”
Ron Gabrisco claims Snowflake is five-plus years behind Databricks
“Five plus years, in my opinion. You know, we bet on the future early days. We bet on AI. We bet on the lake house. We bet on open source. They're just dipping their toe into that.”
Databricks is growing at three times the rate of Snowflake
“And if you look at it too, right, we're three times their growth rate.”
Consumption pricing beats seat-based pricing by removing caps on growth
“Having a consumption based model is super smart. I see this mistake a lot. Like people will be like, oh, I'm going to price on users. There's a cap on users. You know, if the economy goes down, then there's maybe less users. But if you can price based on, you …”
Founders should not delegate sales until reaching $5M to $10M ARR
“A lot of founders think, oh, I hired my, a salesperson, now I don't need to do sales. Because a lot of technical founders, they don't really enjoy sales, right? So like, I need a salesperson to like, Take this off my plate. I want to focus more on the product …”
Databricks waited until $500M ARR to verticalize its sales team
“I didn't go vertical at Databricks until we were probably five hundred million plus, right?”
SaaS companies under $100M ARR should prioritize direct sales over channels
“If you're less than 50 or a hundred million, like you need to build a strong direct sales channel, and then you can build the partner channel. But at five hundred million now, we should be scaling, moving stuff through channels, right?”
Databricks will expand sales headcount despite AI efficiency gains
“As long as humans are buying software, I think you need humans to sell software. So we definitely use AI to become more efficient, but we're going to hire quite a few folks because we're going to go big, so.”
Ben Horowitz called Databricks his highest-upside portfolio company in 2015
“So I was like looking at Mongo or Square or some of those companies and he was like, yeah, this company called Databricks, it's way earlier stage than anything you're looking at, but it's got the most upside of any company in my whole portfolio.”
Ron Gabrisco says Ali Ghodsi is 100x better than other technical founders
“He's a hundred X better than any of them because he can do the technical stuff, but he's also an inspirational leader and he knows the business.”
Ron Gabrisco hired roughly 40 salespeople in his first six months
“Second, I, you know, I hired probably 40 people the first six months, some of the best salespeople from my network, and I was literally just go set up meetings and find out what people will pay for and get the brand out there.”
Databricks offered free technical resources to early customers spending $100K
“We developed There's a whole thing we call the strategic customer program where we'd be like, hey, if you spend a hundred grand, we'll give you free resource.”
Early-stage startups must buy major enterprise logos with dedicated technical deployment
“Getting those big logos is so important early days. Like you need to buy them. And you need to put resources in to make them successful.”
Very few software companies can scale relying solely on startup customers
“I think there's very few businesses that can just scale based on startups and digital natives. They go up, down, all over the place, right?”
Databricks reached $13M ARR in its first year of enterprise sales
“We did, in our first year, which I think we did 12 or thirteen million ARR, we did two million dollar deals.”
Startups should start with a horizontal sales motion before industry verticalization
“I mean, I think you have to start horizontal because you're, again, learning what's your applicability to the different verticals.”
Databricks avoids hiring sales candidates with a pattern of short stints
“Like if they have a bunch of one or two year stints, they're not long for Databricks.”
Early-stage sales hires need domain knowledge over deal-size experience
“Early days, it's the domain knowledge.”
Databricks has individual customer accounts generating $100M in annual contract value
“Like we have a hundred million dollar accounts.”
Databricks recently closed a single customer contract worth $190M
“Yeah, we just did one for a hundred and ninety million actually.”
High sales payouts are an early startup's best recruiting tool
“Early days, you got to make sure that salespeople are crushing their numbers and making money, because that's going to be your best recruiting engine.”
The other half of the tape: Ron Gabrisko's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode across the shows. 1 statement on the record names them. every mention, with the transcript →
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One line per show, most statements first. The link opens Ron's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| 20VCLEDGER | Chief Revenue Officer, Databricks | 1 | 46 | 50% 4/8 | full record on 20VC → |
 SAASTRLEDGER | Chief Revenue Officer, Databricks | 1 | 10 | — | full record on the Official SaaStr Podcast → |