Product Finance Director, R&D Capital Allocation & Engineering Operations

Mountain View · San Francisco · Seattle · 10+ years experience · Posted Oct 16, 2026

At a glance

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.

As Databricks scales at unprecedented velocity, how we invest our R&D capital—both human and compute—is critical to our scale.
We are looking for a Product Finance leader to own R&D capital allocation and engineering operations.
You will be a key finance partner to our senior Engineering and Product Operations leaders, with a mandate that spans product-level R&D ROI, global workforce and location strategy, and the rapidly evolving economics of AI-enabled software development.

Drive product-level ROI and R&D capital allocation
Establish frameworks to measure product-level ROI across a fast-moving platform like Databricks where engineering velocity is extremely high.
Operationalize ROI metrics so they directly inform product investment and resource allocation decisions.
Partner with Engineering to model how AI developer tooling and internal token spend scale alongside headcount, quantifying the tradeoff between human capital and compute capital.
Measure the end-to-end cost of AI-enabled engineering, including the second-order impact on cloud spend, and partner with Engineering to optimize investments.
Drive multi-year headcount planning across global engineering hubs, balancing cost per hire, talent density, and university recruiting pipelines.
Partner closely with Workplace and Facilities leadership to synchronize R&D hiring roadmaps with global real estate strategy and multi-year CapEx planning.
Bring systems-level thinking to R&D finance operations, building scalable, automated workflows across headcount management, PO planning, monthly accruals, and SOX audit compliance.
Dogfood the Databricks platform to modernize internal finance tooling and deliver self-serve operational visibility to engineering leaders.
Build, mentor, and scale a high-performing team of finance professionals capable of operating seamlessly across strategic capital allocation and rigorous operational execution.

10+ years of experience in Strategic/Product Finance or R&D FP&A.
Deep experience managing large-scale R&D OpEx, headcount capacity modeling, and multi-site workforce planning within a high-growth enterprise software or cloud company.
A proven track record of partnering directly with senior Engineering, Product Operations, and People/Workplace executives to drive capital allocation and operational rigor.
Systems-level thinker with a demonstrated ability to re-engineer financial processes from scratch—spanning headcount tracking, procurement, close, and SOX controls—to support rapid scale.
Experience building, leading, and developing high-output finance teams in fast-moving environments.

Direct experience analyzing cloud dev/test infrastructure and AI tooling/token costs.
Experience attributing shared engineering and platform R&D costs across a complex, multi-product portfolio to establish product-level profitability.
Hands-on proficiency with SQL, Python, or notebook environments (especially Databricks) to automate reporting and self-serve insights from large operational datasets.