Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform. Backed by Battery, Insight and Kleiner Perkins.
About the role
About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Drive analytics and modeling to understand how platform spend scales
- Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions
- Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches
- Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products
- Establish robust KPIs and operations to achieve unit economics goals
- Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers
More about this role
(GAQ427R230)
About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio.
- Drive analytics and modeling to understand how platform spend scales
- Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions.
- Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches.
- Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products.
- Establish robust KPIs and operations to achieve unit economics goals
- Partner...
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