Databricks
Product Finance Director, R&D Capital Allocation & Engineering Operations
Mountain View, California; San Francisco, California; Seattle, Washington. Posted a month ago
The role
You will own R&D capital allocation and engineering operations. You will partner with senior Engineering and Product Operations leaders to manage product-level R&D ROI, global workforce strategy, and engineering economics.
What you will do
- Drive product-level ROI and R&D capital allocation
- Establish frameworks to measure product-level ROI
- Operationalize ROI metrics to inform investment and resource allocation
- Partner with Engineering to model AI developer tooling and internal token spend
- Measure the end-to-end cost of AI-enabled engineering
- Drive multi-year headcount planning across global engineering hubs
- Partner with Workplace and Facilities leadership on R&D hiring and real estate strategy
- Build scalable, automated workflows for headcount, procurement, and SOX compliance
- Modernize internal finance tooling using the Databricks platform
- Build, mentor, and scale a high-performing team of finance professionals
Required qualifications
- 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
- Proven track record of partnering with senior Engineering, Product Operations, and People/Workplace executives
- Systems-level thinker with ability to re-engineer financial processes from scratch
- Experience building, leading, and developing high-output finance teams
Nice to have
- 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
- Hands-on proficiency with SQL, Python, or notebook environments (especially Databricks)
Benefits
- Annual performance bonus
- Equity
About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.