(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
Own AI product economics and partner on pricing
Establish robust KPIs and operations to drive best-in-class execution
Bring finance rigor to the biggest investment decisions
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.
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.
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, X, YouTube, and Instagram.
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.
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.
Summary
Lead finance for AI products, planning GPU supply and demand across hyperscalers and neoclouds, modeling unit economics, and partnering on pricing to protect gross margin. Requires 10+ years in strategic/product finance with investment banking, private equity, or consulting training, plus fluency in consumption-based models and cloud infrastructure costs.
Responsibilities
Plan GPU supply and demand across clouds; drive capacity commitment and procurement; own AI product revenue and margin analytics; model unit economics and partner on pricing; define efficiency KPIs; run multi-cloud cost allocation and reporting
Qualifications
10+ years in Strategic/Product Finance with Investment Banking, Private Equity, or Management Consulting training; fluency in consumption-based models, cloud costs, unit costs, margin optimization; partnering with Engineering/Product executives; building scalable financial systems; leading finance teams
Experience requirements
10+ years of experience in Strategic/Product Finance, complemented by foundational training in Investment Banking, Private Equity, or Management Consulting; partnering with senior Engineering and Product executives; building and leading finance teams