Назад
6 дней назад

Product Finance Director (AI Products & GPU Investment Strategy)

223 800 - 307 650$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Finance Director (AI Products & GPU Investment Strategy) (AI products, GPU infrastructure, and product finance): Planning GPU supply and demand, shaping AI product pricing, and building unit economics with an accent on cloud capacity, consumption-based models, and gross margin optimization. Focus on designing investment frameworks, defining engineering efficiency KPIs, analyzing telemetry, and scaling a high-performing product finance team.

Location: Mountain View, California; San Francisco, California; or Seattle, Washington

Salary: $223,800–$307,650 USD for Zone 1 locations; $201,400–$276,850 USD for Zone 2 locations. Annual performance bonus, equity, and benefits may also be available.

Company

Databricks is a data and AI company providing a unified platform for data, analytics, applications, and AI agents to organizations worldwide.

What you will do

  • Plan GPU supply and demand across production inference, internal research, and new product initiatives.
  • Drive capacity commitments and procurement strategies across hyperscalers and neoclouds, optimizing reserved, spot, and on-demand compute.
  • Lead revenue, margin, and adoption analytics for the AI product portfolio.
  • Model AI product unit economics and partner with Product and Pricing on consumption structures.
  • Define efficiency KPIs such as GPU utilization, cost per token or query, and serverless efficiency, while improving multi-cloud cost allocation and reporting.
  • Design ROI and capital allocation frameworks and build a high-performing product finance team.

Requirements

  • 10+ years of experience in Strategic Finance or Product Finance, with foundational training in Investment Banking, Private Equity, or Management Consulting.
  • Deep knowledge of consumption-based business models, public cloud infrastructure costs, unit cost analysis, and gross margin optimization.
  • Experience partnering with senior Engineering and Product executives on technical roadmaps and commercial pricing.
  • Ability to build scalable financial systems and turn complex telemetry data into actionable models and recommendations.
  • Experience building, leading, and developing high-output finance teams in fast-moving environments.
  • Work in one of the specified U.S. locations.

Nice to have

  • Experience with AI and GPU economics, including training and inference workloads, hyperscaler commitments, and neoclouds.
  • Ownership of a multi-product P&L within an enterprise SaaS, PaaS, or data infrastructure company.
  • Hands-on experience with SQL, Python, or notebook environments.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee's region.
  • Eligibility for annual performance bonuses and equity may be included in the compensation package.
  • Commitment to diversity, inclusion, and equal employment opportunity.
  • Databricks operates more than 30 offices worldwide and serves over 20,000 organizations.

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