Product Finance Senior Manager, Cloud Platform Costs & Operations

The role

You will own the economics and financial operations of the multi-cloud platform spend. You will partner with Cloud Engineering and Infrastructure Operations leaders on cloud forecasting, efficiency roadmaps, and cost attribution.

What you will do

• Drive analytics and modeling to understand how platform spend scales
• Lead deep data analytics to identify drivers of shared cloud platform spend
• Build driver-based forecasting models for infrastructure spend
• Partner with Cloud Infrastructure Operations to design a cost attribution model
• Establish KPIs and operations to achieve unit economics goals
• Partner with Engineering to define efficiency KPIs
• Build the infrastructure efficiency roadmap alongside Engineering
• Drive operational rhythms and reporting for product and engineering leaders
• Scale cloud finance operations and systems
• Dogfood the Databricks platform to analyze cloud billing and telemetry datasets

Required qualifications

• 8+ years of experience in Strategic/Product Finance, Cloud FP&A, or FinOps
• Foundational training in Investment Banking, Consulting, or high-growth technology
• Deep fluency in consumption-based business models
• Deep fluency in public cloud infrastructure costs (AWS, Azure, GCP)
• Deep fluency in unit cost analysis and gross margin drivers
• Proven track record of partnering with Engineering and Cloud Infrastructure Operations teams
• Ability to build scalable financial processes, driver-based models, and auditable allocation frameworks

Nice to have

• Functional expertise in hyperscaler cloud pricing, enterprise commitment structures, and infrastructure deal economics
• Experience attributing shared platform or foundational infrastructure costs across a multi-product SaaS or PaaS portfolio
• Hands-on proficiency with SQL, Python, or notebook environments (especially Databricks)

Benefits

• Annual performance bonus
• Equity

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.