20VC: Databricks CEO, Ali Ghodsi on The 3 Phases of Startup Growth, How to Evaluate Risk and Downside Scenario Planning & Who, What and When To Hire When Scaling Your Go-To-Market

Ali Ghodsi is the Founder & CEO @ Databricks, bringing together data engineering, science and analytics on an open, unified platform so data teams can collaborate and innovate faster. To date, Ali has raised over $897M for the company including from the likes of a16z, NEA, Microsoft, Battery, Coatue, Greenbay and more. Prior to Databricks, Ali was one of the original creators of open source project, Apache Spark, and ideas from his research have been applied to Apache Mesos and Apache Hadoop.

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In Today’s Episode with Ali Ghodsi You Will Learn:

1.) How Ali Ghodsi made his way from fleeing Iran as a refugee to living in a Swedish ghetto? What was the founding moment for Ali with Databricks?

2.) How does Ali think about and evaluate risk today? Why does Ali always make his team do downside scenario planning? How does Ali think about his relationship to money today? Why does Ali disagree with gut decisions? What is his process for making decisions effectively?

3.) Stage 1: The Search for PMF: What are the core elements included in this phase? What types of leaders thrive in this phase? What type struggle? How can leaders sustain morale in the early days when it is not up and to the right? Who are the crucial hires in this phase?

4.) Stage 2: Scale Go-To-Market: What are the core roles needed to expand GTM fast and effectively? Why should you hire sales leaders before marketing leaders? Why is hiring finance leaders so crucial here? What mistakes are most often made here? How do the board resolve them?

5.) Stage 3: Process and Efficiency: What are the first and most important processes that need to be implemented? How does Ali Ghodsi need to change the type of leader he is to fit this stage? How does one retain creativity and nimble decision-making at scale and with the process?

Item’s Mentioned In Today’s Episode

Ali’s Favourite Book: Good Strategy Bad Strategy: The Difference and Why it Matters

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