How Databricks Went $1M to $7B+ ARR in 10 Years | Ron Gabrisko, CRO

Ron Gabrisko might have the best sales seat in software. He joined Databricks as CRO at less than $1M in revenue, and built it into a $7B+ ARR business over the next decade.

Almost no one has built a revenue engine this big this fast, so he's the right person to walk through how you actually do it, from the first 40 reps to selling AI into the enterprise today.

We talk through Databricks' early decisions, like killing seat-based pricing as usage took off, using a16z to land the first big logos, the four C's every enterprise now weighs on AI, how Ben Horowitz recruited him to seven PhDs who were giving away their software for free, why he only hires sellers who can demo the product themselves, and how he runs his entire sales org on his own product, Databricks' Genie.

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Timestamps:

(0:00) From under $1M to $7B+ in revenue

(1:07) Seven founders and three big bets

(2:49) Why going cloud-only was contrarian

(5:14) Monetizing open source: "what will they pay for?"

(11:40) What Databricks actually is

(14:17) Genie, the AI he runs the business on

(19:20) It's the data context, not the model

(21:36) The early AI bet, before LLM's

(26:32) Why enterprise AI beats consumer AI

(30:00) Automating his own sales org

(32:18) How Ben Horowitz pitched him

(33:48) Why seven co-founders is an advantage

(35:54) Teaching the CEO sales: org charts and MEDDIC

(42:08) Biggest sales mistakes and four growth stages

(45:14) Why technical products need technical sellers

(47:21) The seller profile: technical, gritty, no short stints

(50:45) Back-channeling references that don't BS you

(53:32) Hiring 40 reps and why PLG didn't convert

(58:07) How a16z opened enterprise doors

(1:05:47) Why he gives POC's away for free

(1:08:50) Raising prices to match value

(1:11:34) Why he killed seat-based pricing

(1:14:37) Build for enterprise requirements early

(1:16:46) Consumption selling and the six-month planning cycle

(1:19:54) Expanding internationally without breaking it

(1:23:38) The four C's of enterprise AI

(1:26:54) Why messy data blocks AI adoption

(1:29:07) Forward deployed engineers: what makes them win

(1:31:56) When does Databricks go public?

(1:33:36) LL Cool J, Michael Jordan, and never losing a game

Referenced

Databricks: https://www.databricks.com

Careers at Databricks: https://www.databricks.com/company/careers

Apache Spark: https://spark.apache.org

MosaicML: https://www.mosaicml.com

Relentless Book: https://www.amazon.com/dp/1797121782?lv=shuf&channelId=500&plpRedirect=mhFallback

Follow Ron

LinkedIn: https://www.linkedin.com/in/ron-gabrisko-4a21a

Follow Turner

Twitter: https://twitter.com/TurnerNovak

LinkedIn: https://www.linkedin.com/in/turnernovak

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