Product Finance Senior Manager, Cloud Platform Costs & Operations

Databricks • Mountain View, CA

8d • $194,500 - $297,100

About The Position

Databricks is seeking a Product Finance Senior Manager to own the economics and financial operations of its multi-cloud platform spend. The role partners with Cloud Engineering and Infrastructure Operations leaders and focuses on driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across the product portfolio.

The role analyzes how shared cloud platform spending scales across products, cloud providers, and global regions; builds forecasting models for regional expansion, customer growth, and product launches; and develops cost attribution models that map shared platform expenses to individual products. It partners with Engineering to define efficiency KPIs, build infrastructure efficiency roadmaps, and translate technical optimizations into operating and gross margin targets. It also establishes operational reporting rhythms and scales cloud finance processes, including allocation frameworks, monthly accruals, reporting pipelines, and automated workflows. The position uses the Databricks platform to analyze cloud billing and telemetry datasets and provide self-service cost visibility to engineering partners.

Requirements

• At least 8 years of experience in Strategic/Product Finance, Cloud FP&A, or FinOps.
• Foundational training in Investment Banking, Consulting, or high-growth technology.
• Deep fluency in consumption-based business models, public cloud infrastructure costs across AWS, Azure, and GCP, unit cost analysis, and gross margin drivers.
• Proven experience partnering directly with Engineering and Cloud Infrastructure Operations teams to improve cost efficiency and forecasting accuracy.
• Ability to build scalable financial processes, driver-based models, and auditable allocation frameworks in fast-moving environments.

Nice To Haves

• 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, for analyzing large cloud billing and usage datasets.

Responsibilities

• Analyze drivers of shared cloud platform spending across products, cloud providers, and global regions.
• Build driver-based forecasts of infrastructure spending, including impacts from regional expansion, customer scale, and product launches.
• Partner with Cloud Infrastructure Operations to develop cost attribution models that map shared platform expenses to individual products.
• Partner with Engineering to define efficiency KPIs for core platform services and storage and compute layers.
• Develop infrastructure efficiency roadmaps with Engineering and translate technical optimizations into operating and gross margin targets.
• Establish operational rhythms and reporting that give product and engineering leaders visibility into unit economics goals.
• Build automated workflows and scalable cloud FP&A processes for a growing multi-cloud footprint and changing commitment structures.
• Maintain rigorous, auditable, and scalable cloud cost allocation frameworks, monthly accruals, and reporting pipelines.
• Use the Databricks platform to analyze cloud billing and telemetry datasets and deliver self-service cost visibility to engineering partners.

Benefits

• The total compensation package may include eligibility for an annual performance bonus and equity.
• Databricks offers comprehensive benefits and perks; specific benefits depend on the employee's region.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed