Product Finance Director, AI Products & GPU Investment Strategy

Databricks · Mountain View, California; San Francisco, California; Seattle, Washington · Finance · listed October 15, 2026

The shape of it

Seniority
Director
Experience asked
10+ years
Where
Not stated
Stated pay
$223,800 – $307,650 USD
Requirements listed
8
Length
962 words

In the posting’s own words

AI is the defining platform shift of our generation, and Databricks is right at the center of it. We are looking for a Product Finance leader to scale the fastest growing part of our business with both speed and financial rigor. You will be the primary finance partner to our AI Engineering and Product leaders, with a mandate that spans the full arc of the AI business: planning GPU supply and demand across clouds, shaping how we price AI products, and building the unit economics that will define the margins of this category for years to come.

What it asks for · 8

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

Tools and skills named

Models & research
  • GPU5×
  • Inference2×
Go to market
  • Partnerships
  • SaaS
Languages
  • Python
  • SQL
Cloud & infra
  • Serverless
Data
  • Databricks

Words the posting leans on

  • product12×
  • finance6×
  • economics5×
  • engineering5×
  • gpu5×
  • business4×
  • cost4×
  • leaders4×
  • margin4×
  • model4×
  • data3×
  • demand3×
  • drive3×
  • experience3×
  • financial3×
  • infrastructure3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched November 1, 2026 and last changed by Databricks on October 16, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.