Avantages
- Great tech that solves real world problems with data, ML, and AI. - Hard working C-level and founders - Leader in ML and AI toolbox
Inconvénients
1. Terrible and outdated sales culture led by former Cloudera/Hortonworks sales folks. Favorites get the best accounts and territory. For a data company, sales org lacks data driven approach to setting quotas and matching the reps with the most ideal backgrounds to accounts and territories. Needs a refresh at the VP level and up to move away from startup mentality and get to the next phase of growth. 2. The best solution engineers and architects get promoted quickly to work on top paying accounts, leaving new hunters to be paired up with new engineers that are not equipped to manage complex sales cycles. 3. Fast growth startup culture that rewards "the grind" and burnout instead of sustainable steady growth. Just asked how many team building or family inclusive events has Databricks done in the last 12 months.