Product Finance Director, AI Products & GPU Investment Strategy

Databricks • San Francisco, CA

25d

About The Position

Databricks is seeking a Product Finance leader to scale its AI business with speed and financial rigor. The role is the primary finance partner to AI Engineering and Product leaders and spans GPU supply and demand planning across clouds, AI product pricing, and the unit economics that will shape margins. The leader will establish a trusted GPU demand plan across production inference, internal research, and new product initiatives; develop capacity commitments and procurement strategies across hyperscalers and neoclouds; and optimize the mix of reserved, spot, and on-demand compute.

The role owns AI product economics and partners on pricing, leading revenue and margin analytics across the AI portfolio and translating consumption telemetry into insights on adoption, retention, and profitability. It models end-to-end product unit economics before launch and works with Product and Pricing to create consumption structures that encourage adoption while protecting gross margin targets. In partnership with Engineering, it defines efficiency KPIs and connects them to engineering roadmaps, while establishing auditable multi-cloud cost allocation and automated reporting.

The Product Finance Director also develops ROI and capital allocation frameworks for major investments, including frontier model research, internal compute clusters, and strategic partnerships. The role builds, mentors, and scales a high-performing product finance team operating at the intersection of technical infrastructure and commercial strategy.

Requirements

• 10+ years of experience in Strategic Finance or 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.
• 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 turn complex telemetry data into actionable models and recommendations.
• Experience building, leading, and developing high-output finance teams in fast-moving environments.

Nice To Haves

• Direct experience in the AI and GPU economy, including familiarity with training and 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 to self-serve insights from raw usage data.

Responsibilities

• Plan GPU supply and demand across production inference, internal research, and new product initiatives.
• Develop capacity commitment and procurement strategies across major hyperscalers and emerging neoclouds, optimizing reserved, spot, and on-demand compute.
• Lead revenue and margin analytics across the AI product portfolio, using consumption telemetry to assess customer adoption, retention, and product profitability.
• Model AI product unit economics before launch and partner with Product and Pricing to design consumption structures that support adoption while protecting gross margin targets.
• Partner with Engineering to define efficiency KPIs, including GPU utilization, cost per token or query, and serverless efficiency, and translate them into committed engineering roadmaps.
• Establish financial operations, including auditable multi-cloud cost allocation and automated reporting, to provide product and engineering leaders with visibility into economic goals.
• Design ROI and capital allocation frameworks for major investments, including frontier model research, internal compute clusters, and strategic partnerships.
• Build, mentor, and scale a high-performing team of product finance analysts.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed