Product Finance Senior Manager, Cloud Platform Costs & Operations
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the economics and financial operations of Databricks' multi-cloud platform spend, partnering with Cloud Engineering and Infrastructure Operations leaders. You'll analyze spend drivers, build driver-based forecasts, design cost attribution models, define efficiency KPIs and roadmaps, and build automated, auditable cloud finance workflows.
Requirements
- 8+ years of experience in Strategic/Product Finance, Cloud FP&A or FinOps, with foundational training in Investment Banking, Consulting or high-growth technology
- Deep fluency in consumption-based business models, public cloud costs (AWS, Azure, GCP), unit cost analysis and gross margin drivers
- Proven track record partnering with Engineering and Cloud Infrastructure Operations
- Ability to build scalable financial processes, driver-based models and allocation frameworks
- Preferred: hyperscaler cloud pricing and commitment structure expertise
- Preferred: experience attributing shared infrastructure costs across a multi-product portfolio
- Preferred: proficiency with SQL, Python or notebooks
Responsibilities
- Lead data analytics to identify drivers of shared cloud platform spend
- Build driver-based forecasting models for infrastructure spend
- Design a forward-looking cost attribution model mapping shared platform expenses to products
- Define efficiency KPIs with Engineering
- Build the infrastructure efficiency roadmap and translate it into margin targets
- Drive operational rhythms and reporting for unit economic goals
- Build automated cloud FP&A workflows
- Ensure cost allocation frameworks, accruals and reporting remain auditable and scalable
- Analyze cloud billing and telemetry datasets to deliver self-serve cost visibility
Benefits
- Annual performance bonus eligibility
- Equity eligibility
