# Product Finance Director, R&D Capital Allocation & Engineering Operations at Databricks

> Own R&D capital allocation and engineering operations, partnering with senior Engineering and Product leaders on ROI and workforce strategy.

- Company: Databricks (databricks.com)
- Location: Mountain View, California; San Francisco, California; Seattle, Washington
- Places: Mountain View, San Francisco, Seattle
- Posted: 2026-10-16
- Level: Director
- Team: Product Finance, R&D Capital Allocation & Engineering Operations
- Pay: $223,800—$307,650 USD (Zone 1); $201,400—$276,850 USD (Zone 2)
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8823193002
- Page: https://ye.saranatour.dev/jobs/product-finance-director-r-d-capital-allocation-engineering-operations-databrick-kn7bcyexza0c8768zrdrgs2ag18hcksm

## The posting

Product Finance Director, R&D Capital Allocation & Engineering Operations
Databricks · Mountain View, California; San Francisco, California; Seattle, Washington

(GAQ427R231)

**About the role**

As Databricks scales at unprecedented velocity, how we invest our R&D capital—both human and compute—is critical to our scale. We are looking for a Product Finance leader to own R&D capital allocation and engineering operations. You will be a key finance partner to our senior Engineering and Product Operations leaders, with a mandate that spans product-level R&D ROI, global workforce and location strategy, and the rapidly evolving economics of AI-enabled software development.

**The impact you will have**

- **Drive product-level ROI and R&D capital allocation**
- **Define engineering economics in the AI era**
- **Shape global workforce and location strategy**
- **Scale R&D finance operations and build the team**

**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

$223,800—$307,650 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

$201,400—$276,850 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), [YouTube](https://www.youtube.com/@Dat