Product Finance Senior Manager, Cloud Platform Costs & Operations

<p data-pm-slice="1 1 []"><small>(GAQ427R230)</small></p> <p data-renderer-start-pos="2729">&nbsp;</p> <p><strong>About the role</strong> 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.</p> <p><strong>The impact you will have</strong></p> <ul> <li><strong>Drive analytics and modeling to understand how platform spend scales</strong></li> <ul> <li>Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions.</li> <li>Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches.</li> <li>Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products.</li> </ul> <li><strong>Establish robust KPIs and operations to achieve unit economics goals</strong></li> <ul> <li>Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers.</li> <li>Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets.</li> <li>Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals.</li> </ul> <li><strong>Scale cloud finance operations and systems</strong></li> <ul> <li>Bring systems-level think