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Databricks

Product Finance Senior Manager, Cloud Platform Costs & Operations

Databricks
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senior full-time $216,100-$297,100 USD Mountain View, California

First indexed 16 Oct 2026

Description

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
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8823191002