Databricks
Product Finance Director, AI Products & GPU Investment Strategy
Mountain View, California; San Francisco, California; Seattle, Washington. Posted a month ago
The role
You will be the primary finance partner to AI Engineering and Product leaders. You will plan GPU supply and demand, shape AI product pricing, and build unit economics.
What you will do
- Plan the GPU supply and demand that powers the business
- Establish a unified GPU demand plan across production inference, internal research, and new product bets
- Drive capacity commitment and procurement strategies across hyperscalers and neoclouds
- Lead revenue and margin analytics across the AI product portfolio
- Model end-to-end unit economics of AI products
- Partner with Engineering to define efficiency KPIs
- Run financial operations including multi-cloud cost allocation and automated reporting
- Design ROI and capital allocation frameworks for investment decisions
- Build, mentor, and scale a high-performing team of product finance analysts
Required qualifications
- 10+ years of experience in Strategic/Product Finance
- Foundational training in Investment Banking, Private Equity, or Management Consulting
- Deep fluency in consumption-based business models, public cloud infrastructure costs, unit cost analysis, and gross margin optimization
- Proven track record of partnering with senior Engineering and Product executives
- Ability to build scalable financial systems from scratch
- Ability to distill complex telemetry data into models and recommendations
- Experience building, leading, and developing high-output finance teams
Nice to have
- Direct experience operating in the AI and GPU economy
- Familiarity with training/inference workloads, hyperscaler commitment structures, and neocloud economics
- Ownership of a multi-product P&L within a high-growth enterprise SaaS, PaaS, or data infrastructure company
- Hands-on proficiency with SQL, Python, or notebook environments
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.