Databricks CRO Ron Gabrisko Shares Sales Strategies
Databricks CRO Ron Gabrisko discusses sales learnings, including flat SDR headcount and 6-10% reply rates. He shares strategies for selling at a $190B AI company.
Original reporting · saastr.com
Original: “Databricks CRO Ron Gabrisko: 5 Interesting Learnings on Selling at a $190B AI Company: Flat SDR Headcount, 6-10% Reply Rates, and Free Seats That Unlocked Consumption”
Read “Databricks CRO Ron Gabrisko: 5 Interesting Learnings on Selling at a $190B AI Company:…” at SaaStr →How this was written. Hustle Bucks wrote this article with a language model from SaaStr’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from SaaStr’s report
- Databricks evaluates sales candidates by having them build a live demo in Genie during the interview process.
- The company has kept its SDR headcount flat while adding account executives and solutions architects, resulting in higher reply rates.
- Databricks expects at least 60% of rep time to be spent in front of customers, with a focus on building custom demos and multithreading into new departments.
Databricks is now a $190 billion company with over $7B in annual recurring revenue, growing at a rapid pace. Ron Gabrisko, Databricks' Chief Revenue Officer, recently sat down with Sam Blond, co-founder of Monaco and former CRO of Brex, on the SaaStr AI Podcast.
Ron Gabrisko joined Databricks when it was doing under $1M in ARR, and the company has since experienced tremendous growth. The podcast episode covers changes in sales and go-to-market strategies over the past two years, including hiring, demand generation, and pricing.
Databricks tests sales candidates' skills by having them build a live demo in Genie during the interview process. Candidates must give a CEO-level AI pitch for a chosen company, build a demo, and walk the panel through it. This process helps Databricks evaluate sellers' ability to think creatively and develop industry-specific solutions.
Once hired, sales representatives undergo certification on Genie and the CEO-level pitch, with ongoing certification throughout the year. Databricks' account executives build custom demos for specific accounts, such as Pepsi and Rivian, using Genie on their phones. This approach allows reps to practice and refine their skills, with Ron expecting them to practice 10x more than they play.
Sam Blond notes that top performers at Monaco have a 'go-to-market-engineer' quality, walking customers through the technical internals of the product in demos. He suggests that Monaco should add a technical test to its onboarding process to ensure reps can pass before being allowed on a demo.
Databricks has kept its SDR headcount flat while adding account executives and solutions architects. The company has automated outbound efforts, signals on prospects and contacts, and campaigns, resulting in higher reply rates of 6-10%. Ron attributes this success to increased productivity per SDR, made possible by personalized outreach and automation.
Ron expects the SDR team to potentially shrink over time but wants to maintain an academy for younger sellers, providing a path into account executive or management roles. He believes that automating SDR work and keeping an SDR team are separate decisions, with Databricks choosing to automate work while maintaining the team as a training pipeline.
Questions and answers
What is Databricks' approach to evaluating sales candidates?
Databricks tests sales candidates' skills by having them build a live demo in Genie during the interview process, giving a CEO-level AI pitch, and walking the panel through it.
How has Databricks' SDR headcount changed over time?
Databricks has kept its SDR headcount flat while adding account executives and solutions architects, resulting in higher reply rates of 6-10%.
What is the expected time allocation for Databricks' sales representatives?
Databricks expects at least 60% of rep time to be spent in front of customers, with a focus on building custom demos and multithreading into new departments.
