Databricks
Enterprise SaaSDirect Greenhouse career site

Product Finance Director, R&D Capital Allocation & Engineering Operations

Pay
$223,800 – $307,650 per year
Location
Mountain View, CA
Job type
Full-time
Level
Director
Experience
10+ years
Listed
23 days ago

Skills & highlights for this role

  • R&D FP&A
  • headcount capacity modeling
  • SOX controls

Also useful

  • SQL
  • Python
  • cloud dev/test infrastructure cost analysis

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
  • Establish frameworks to measure product-level ROI across a fast-moving platform like Databricks where engineering velocity is extremely high.
  • Operationalize ROI metrics so they directly inform product investment and resource allocation decisions.
  • Define engineering economics in the AI era
  • Partner with Engineering to model how AI developer tooling and internal token spend scale alongside headcount, quantifying the tradeoff between human capital and compute capital.
  • Measure the end-to-end cost of AI-enabled engineering, including the second-order impact on cloud spend, and partner with Engineering to optimize investments.
  • Shape global workforce and location strategy
  • Drive multi-year headcount planning across global engineering hubs, balancing cost per hire, talent density, and university recruiting pipelines.
  • Partner closely with Workplace and Facilities leadership to synchronize R&D hiring roadmaps with global real estate strategy and multi-year CapEx planning.
  • Scale R&D finance operations and build the team
  • Bring systems-level thinking to R&D finance operations, building scalable, automated workflows across headcount management, PO planning, monthly accruals, and SOX audit compliance.
  • Dogfood the Databricks platform to modernize internal finance tooling and deliver self-serve operational visibility to engineering leaders.
  • Build, mentor, and scale a high-performing team of finance professionals capable of operating seamlessly across strategic capital allocation and rigorous operational execution.

What we look for

  • Required
  • 10+ years of experience in Strategic/Product Finance or R&D FP&A.
  • Deep experience managing large-scale R&D OpEx, headcount capacity modeling, and multi-site workforce planning within a high-growth enterprise software or cloud company.
  • A proven track record of partnering directly with senior Engineering, Product Operations, and People/Workplace executives to drive capital allocation and operational rigor.
  • Systems-level thinker with a demonstrated ability to re-engineer financial processes from scratch-spanning headcount tracking, procurement, close, and SOX controls-to support rapid scale.
  • Experience building, leading, and developing high-output finance teams in fast-moving environments.
  • Preferred
  • Direct experience analyzing cloud dev/test infrastructure and AI tooling/token costs.
  • Experience attributing shared engineering and platform R&D costs across a complex, multi-product portfolio to establish product-level profitability.
  • Hands-on proficiency with SQL, Python, or notebook environments (especially Databricks) to automate reporting and self-serve insights from large operational 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 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.

Zone 1 Pay Range $223,800—$307,650 USD

Pay Range Transparency

Zone 2 Pay Range $201,400—$276,850 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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, X, YouTube, and Instagram.

Read the original posting

From Databricks's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Product Finance Director, R&D Capital Allocation & Engineering Operations role at Databricks, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

What is the salary for the Product Finance Director, R&D Capital Allocation & Engineering Operations role at Databricks?

The Product Finance Director, R&D Capital Allocation & Engineering Operations posting at Databricks states compensation of $223,800 – $307,650 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.

Where is the Product Finance Director, R&D Capital Allocation & Engineering Operations job at Databricks located?

This Product Finance Director, R&D Capital Allocation & Engineering Operations position at Databricks is located in Mountain View, CA. Always check Databricks's application page for specific state eligibility or relocation policies.

What qualifications are required for Product Finance Director, R&D Capital Allocation & Engineering Operations at Databricks?

For the Product Finance Director, R&D Capital Allocation & Engineering Operations role, Databricks highlights 10+ years of relevant experience; experience with R&D FP&A, headcount capacity modeling, SOX controls. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Product Finance Director, R&D Capital Allocation & Engineering Operations position at Databricks?

This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.