Databricks
Product Finance Director, R&D Capital Allocation & Engineering Operations
$201K–$308K
Mountain View, California +3 · Director · Full-time · Posted Oct 15, 2026
- Location
- Mountain View, California
San Francisco, California
Seattle, Washington
Mountain View, California - Experience
- 10+ years in Strategic/Product Finance or R&D FP&A.
About the job
Leads R&D product finance, allocating capital across products, engineering workforce, and AI-related development costs while scaling finance operations and teams.
What you'll do
- Develop product-level ROI frameworks and use them to guide R&D investment and resource allocation.
- Model AI engineering costs and lead global engineering workforce, location, and facilities planning.
- Scale R&D finance workflows and tools, ensure operational rigor, and build and lead a finance team.
What they ask for
- 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 partnership with senior Engineering, Product Operations, and People/Workplace executives to drive capital allocation and operational rigor.
- Experience re-engineering financial processes and building, leading, and developing finance teams.
Nice to have
- Experience analyzing cloud dev/test infrastructure and AI tooling/token costs or attributing shared R&D costs across a multi-product portfolio.
- Hands-on proficiency with SQL, Python, or notebook environments, especially Databricks.
Pay
$223,800 — $307,650 USD (base salary); $201,400 — $276,850 USD (base salary)
Tools
SQL, Python, Databricks
AI focus
Models AI developer tooling and internal token costs, evaluates human-capital versus compute-capital tradeoffs, and measures AI-enabled engineering costs, including cloud spend.
Model-written summary · the original posting is authoritative