Motivation for joining Databricks as a product manager
Company: Databricks
Role: Product Manager
Category: Behavioral & Leadership
Difficulty: medium
Interview Round: Other
What draws you to Databricks, and why do you want to be a product manager there?
```hint Make it specific to Databricks
An answer that would fit any fast-growing tech company is weak. Tie one concrete part of Databricks' platform or its users to work you have done and work you want to do next.
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### Clarifying Questions
- Is this loop for a particular product area, such as data engineering, SQL analytics, governance or machine learning, or for a general product manager role?
- Should the answer cover only why this company, or also why this role is the right next step from your current one?
- Is this the short opening answer of the conversation (one to two minutes), or should it lead into a discussion of the company's strategy?
### What a Strong Answer Covers
- Accurate, specific knowledge of what Databricks sells and who uses and buys it, beyond its brand or its growth.
- A genuine reason the candidate cares about the problems Databricks solves for data engineers, analysts and machine learning teams.
- Evidence from past work that maps to the demands of the role, such as technical, data or developer-facing products.
- A forward-looking view of an opportunity or challenge the candidate wants to work on there.
- Concise, sincere delivery without reasons that are only about pay, prestige or perks.
### Follow-up Questions
- Which competing data platform would you join if this did not work out, and why do you prefer Databricks?
- What is one thing about the Databricks platform you would change in your first six months, and why?
- Databricks sells to technical users and buyers. What in your background shows you can earn the trust of data engineers?
Overview: A behavioral product manager interview question asking candidates to explain why they want to join Databricks. It tests research on the data and AI platform and its users, genuine motivation for the role, and how well the candidate links past experience to Databricks' products.