Чётко очерченная руководящая роль в заметной AI-компании: зарплата выше рыночного ориентира, а влияние охватывает экономику GPU, ценообразование продуктов и инвестиционные решения.
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Зарплата выше рынкаПонятная зона ответственностиПерспективная сфераВысокие требования
Оценка от Hirify AI
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Hirify AI/Оригинал
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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