Product Finance Senior Manager, Cloud Platform Costs & Operations

(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.

The impact you will have

• 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.


• Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets.


• Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals.




• Scale cloud finance operations and systems




• Bring systems-level thinking to cloud FP&A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic.


• Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business compounds.


• Dogfood the Databricks platform to analyze massive cloud billing and telemetry datasets, delivering self-serve cost visibility to engineering partners.

What we look for

• Required




• 8+ years of experience in Strategic/Product Finance, Cloud FP&A, or FinOps, complemented by foundational training in Investment Banking, Consulting, or high-growth technology.


• Deep fluency in consumption-based business models, public cloud infrastructure costs (AWS, Azure, GCP), unit cost analysis, and gross margin drivers.


• A proven track record of partnering directly with Engineering and Cloud Infrastructure Operations teams to drive cost efficiency and forecasting accuracy.


• Systems-level thinker with a demonstrated ability to build scalable financial processes, driver-based models, and auditable allocation frameworks in fast-moving environments.




• Preferred




• 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) to self-serve insights from massive cloud billing and usage datasets.