Product Finance Senior Manager, Cloud Platform Costs & Operations

Databricks Inc.; Mountain View (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Databricks is seeking a Product Finance Senior Manager for Cloud Platform Costs & Operations in Mountain View, CA. You will own economics, forecasting, and cost attribution for multi-cloud platform spend, partnering with Cloud Engineering and Infrastructure Operations to drive efficiency.

You will build scalable models, define KPIs, and deliver automated workflows that scale with our expanding global footprint and product portfolio.

Qualifications

• 8+ years in strategic/product finance or cloud FP&A
• Experience with consumption-based cloud costs and gross margin drivers
• Proven track record partnering with Engineering and Cloud Infra Operations
• Systems-level thinker with scalable financial processes and driver-based models

Responsibilities

• Own the economics and financial operations of multi-cloud platform spend
• Build driver-based forecasting models and cost attribution across products and regions
• Establish KPIs and drive cost-efficiency roadmaps with Engineering and Infra teams
• Scale cloud FP&A processes and automated workflows for a dynamic footprint
• Deliver self-serve cost visibility to engineering partners and leaders

Skills

Strategic Finance

Cloud FP&A

FinOps

Investment Banking

Consulting

Cross-functional partner

Education

Finance/Business degree

Tools

SQL

Python

Databricks

Notebook environments

Job description

Product Finance Senior Manager, Cloud Platform Costs & Operations

Mountain View, California; San Francisco, California; Seattle, Washington

(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.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific