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Product Finance Director, AI Products & GPU Investment Strategy

Databricks· Engineering
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Hybrid (Mountain View, San Francisco, Seattle)$223.8k - $307.7kFull-timePosted 5d ago

About the role

Finance leader partnering with AI Engineering and Product to plan GPU supply/demand, shape pricing, and develop unit economics for AI products, spanning planning across clouds, pricing, and investment decisions.

Responsibilities

  • Plan the GPU supply and demand that powers the business
  • Establish a trusted, unified GPU demand plan across production inference, internal research, and new product bets so we invest ahead of growth without over-provisioning.
  • Drive capacity commitment and procurement strategies across major hyperscalers and emerging neoclouds, optimizing the mix of reserved, spot, and on-demand compute.
  • Lead revenue and margin analytics across the AI product portfolio, turning raw consumption telemetry into a clear read on customer adoption, retention, and product profitability.
  • Model the end-to-end unit economics of AI products before they ship, partnering with Product and Pricing to design consumption structures that drive adoption while protecting gross margin targets.
  • Partner with Engineering to define north star efficiency KPIs (e.g., GPU utilization, cost per token/query, serverless efficiency) and translate them into committed engineering roadmaps.
  • Run tight financial operations, from auditable multi-cloud cost allocation to automated reporting, giving product and engineering leaders real-time visibility into their economic goals.
  • Design ROI and capital allocation frameworks to evaluate asymmetric bets—including frontier model research, internal compute clusters, and strategic partnerships.
  • Build, mentor, and scale a high-performing team of product finance analysts capable of operating at the intersection of deep technical infrastructure and commercial strategy

Qualifications

  • 10+ years of experience in Strategic/Product Finance, complemented by 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.
  • A proven track record of partnering directly with senior Engineering and Product executives to influence technical roadmaps and commercial pricing.
  • Demonstrated ability to build scalable financial systems from scratch and distill massive, complex telemetry data into models and recommendations leaders act on.
  • Experience building, leading, and developing high-output finance teams in fast-moving environments.

Skills

Required:Strategic/Product Financecloud infrastructure cost analysispricing strategydata analysis and telemetryteam leadership
Nice to have:SQL / Python

Benefits

  • Benefits available in your region as referenced in the Databricks benefits documentation.
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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