--- title: 'Product Finance Director, AI Products & GPU Investment Strategy at Databricks' canonical: 'https://feeny.ai/job/product-finance-director-ai-products-gpu-investment-strategy-databricks-8t79c94c57ry' type: 'job' last_seen: '2026-10-17' --- # Product Finance Director, AI Products & GPU Investment Strategy at Databricks - **Company:** Databricks - **Location:** Mountain View, CA / San Francisco, CA / Seattle, WA - **Compensation:** $201k–$308k - **Posted:** 2026-10-15 - **Last confirmed live:** 2026-10-17 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8823189002 ## Job description (GAQ427R229) ## About the role 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. The impact you will have - 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. - Own AI product economics and partner on pricing - 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. - Establish robust KPIs and operations to drive best-in-class execution - 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. - Bring finance rigor to the biggest investment decisions - 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 ## What we look for Required - 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. ## Preferred - 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. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Zone 1 Pay Range $223,800—$307,650 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Zone 2 Pay Range $201,400—$276,850 USD ## About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). ## Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. ## About Databricks ## Company Overview - **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale. - **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed) - **Headquarters**: San Francisco, California, USA - **Founded**: 2013 - **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others) ## Core Business - Primary industry: Data & AI Platform / Enterprise Software - Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500 - Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us) ## Products & Services - **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog. - **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era. - **Genie**: AI-powered natural language assistant for data insights and querying. - **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data. - **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure) - **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/) - **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms. - **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks) ## Competitive Advantages - **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in. - **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community. - **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises. - **Strong data governance**: Unity Catalog provides centralized access control and lineage. - **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data. ## Strategic Focus - Expanding AI capabilities with natural language interfaces and autonomous agents. - Deepening integrations with cloud providers and open-source ecosystems. - Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC). - Cultivating a developer and data science community through university programs and open-source contributions. ## Why Work Here - **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers) - **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally. - **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events. - **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more. ## Sources 1. [Databricks About Us](https://www.databricks.com/company/about-us) 2. [Databricks Careers](https://www.databricks.com/company/careers) 3. [Databricks Homepage](https://www.databricks.com/) 4. 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