Job description preview
From Databricks’s original posting
(GAQ427R231) About the role 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. The impact you will have • 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. • Define engineering economics in the AI era • 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…
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