Case Study: Databricks builds a scalable global compensation strategy with Pave

Databricks achieves 100% R&D approval with Pave

Databricks, a leading data and AI company, faced a challenge with its existing compensation tools as it scaled from 1,000 to 8,000 employees. The previous system was manual, prone to errors, and lacked the flexibility needed to support its complex global structure and communicate total rewards effectively. They turned to the vendor Pave for a solution.

By implementing Pave's Compensation Planning, Total Rewards, and Team View products, Databricks built a scalable and transparent compensation strategy. The solution was first piloted successfully with their R&D department, where 100% of surveyed team members found the new process simple to navigate. Pave enabled the team to execute complex planning cycles, provide complete visibility into rewards, and secure organizational buy-in, with a Total Rewards pilot receiving a 4.6/5 satisfaction score.

Databricks