# Product Finance Senior Manager, Cloud Platform Costs & Operations

**Company**: Databricks
**Location**: Mountain View, California
**Experience**: senior
**Job type**: full-time
**Salary**: $216,100-$297,100 USD
**Category**: Finance
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8823191002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8d3cdb4f-a9e

## 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

## Skills

### Required
- Strategic Finance
- Cloud FP&A
- FinOps
- Investment Banking
- Consulting
- high-growth technology
- consumption-based business models
- public cloud infrastructure costs
- unit cost analysis
- gross margin drivers

### Nice to have
- hyperscaler cloud pricing
- enterprise commitment structures
- infrastructure deal economics
- SQL
- Python
- notebook environments
- Databricks

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8823191002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)