Product Finance Director, R&D Capital Allocation & Engineering Operations
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own R&D capital allocation and engineering operations as a key finance partner to senior Engineering and Product Operations leaders. You'll build product-level ROI frameworks, model the economics of AI developer tooling and token spend, drive multi-year headcount planning across global engineering hubs, and scale automated R&D finance operations while building and mentoring a high-performing team.
Requirements
- 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 in a high-growth enterprise software or cloud company
- Proven track record partnering with senior Engineering, Product Operations and People/Workplace executives
- Ability to re-engineer financial processes spanning headcount tracking, procurement, close and SOX controls
- Experience building and leading high-output finance teams
- Preferred: experience analyzing cloud dev/test infrastructure and AI tooling/token costs
- Preferred: experience attributing shared R&D costs across a multi-product portfolio
- Preferred: proficiency with SQL, Python or notebook environments
Responsibilities
- Establish frameworks to measure product-level ROI
- Operationalize ROI metrics to inform investment and resource allocation
- Model how AI developer tooling and token spend scale alongside headcount
- Measure end-to-end cost of AI-enabled engineering including cloud spend impact
- Drive multi-year headcount planning across global engineering hubs
- Partner with Workplace and Facilities leadership on hiring roadmaps and CapEx planning
- Build scalable, automated workflows across headcount management, PO planning, accruals and SOX compliance
- Modernize internal finance tooling on the Databricks platform
- Build, mentor and scale a high-performing finance team
Benefits
- Annual performance bonus eligibility
- Equity eligibility
