AI Product Finance Director — GPU Economics & Pricing

Neon; San Francisco (CA); On-site; USD 224,000 - 308,000; Full time

Job summary

Databricks is seeking a Product Finance leader to scale the AI business with financial rigor. You will partner with AI Engineering and Product leaders to plan GPU demand, shape product pricing, and model unit economics across clouds.

Expect to build a high-performance team, design capital allocation frameworks, and drive best-in-class financial operations to support rapid AI growth. You will own revenue and margin analytics, translate telemetry into actionable insights, and collaborate with

Qualifications

• 10+ years in Strategic/Product Finance.
• Deep fluency in consumption-based business models, cloud costs, unit economics, and gross margin optimization.
• Proven track record partnering with senior Engineering & Product leaders to influence roadmaps and pricing.
• Experience building scalable financial systems from scratch.
• Experience leading high-output finance teams in fast-moving environments.

Responsibilities

• Plan GPU supply and demand across clouds, optimizing capacity and procurement.
• Own AI product economics and pricing analytics to drive adoption and margins.
• Define KPIs and provide real-time visibility into economic goals.
• Design ROI and capital allocation frameworks for major investments.

Skills

Strategic / Product Finance

Consumption-based models

Cloud costs

Unit economics

Gross margin optimization

Partnership with senior leaders

Financial systems design

Team leadership

Tools

SQL

Python

Jupyter / Notebook environments

Job description

Databricks is seeking a Product Finance leader to scale the AI business with financial rigor. You will partner with AI Engineering and Product leaders to plan GPU demand, shape product pricing, and model unit economics across clouds.

Expect to build a high-performance team, design capital allocation frameworks, and drive best-in-class financial operations to support rapid AI growth. You will own revenue and margin analytics, translate telemetry into actionable insights, and collaborate with