Product Finance Senior Manager, Cloud Platform Costs & Operations

Mountain View · San Francisco · Seattle · 8+ years experience · Posted Oct 16, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Databricks is looking for a Product Finance Senior Manager to own the economics and financial operations of multi-cloud platform spend.
The role serves as a key finance partner to Cloud Engineering and Infrastructure Operations leaders.
Responsibilities span driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across the 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 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 by building automated workflows for dynamic multi-cloud footprints.
Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable.

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.

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.