# Product Finance Senior Manager, Cloud Platform Costs & Operations at Databricks

> Own the economics and financial operations of multi-cloud platform spend, partnering with cloud engineering and infrastructure leaders.

- Company: Databricks (databricks.com)
- Location: Mountain View, California; San Francisco, California; Seattle, Washington
- Places: Mountain View, San Francisco, Seattle
- Posted: 2026-10-16
- Level: Senior
- Team: Product Finance, Cloud Platform Costs & Operations
- Pay: $216,100—$297,100 USD (Zone 1); $194,500—$267,400 USD (Zone 2)
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8823191002
- Page: https://ye.saranatour.dev/jobs/product-finance-senior-manager-cloud-platform-costs-operations-databricks-kn7bxqedn5mgda4mx6k8jyr6518hdkvz

## The posting

Product Finance Senior Manager, Cloud Platform Costs & Operations
Databricks · 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**
- **Establish robust KPIs and operations to achieve unit economics goals**
- **Scale cloud finance operations and systems**

**What we look for**

- **Required**
- **Preferred**

**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 work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).

Zone 1 Pay Range

$216,100—$297,100 USD

**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 work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).

Zone 2 Pay Range

$194,500—$267,400 USD

**About Databricks**

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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks),