Finance Manager

Databricks•Mountain View, CA

8d•Remote

About The Position

Databricks is looking for an outstanding Finance Manager to join our FP&A team. In this role, you will serve as the strategic finance partner to our Product Support organization, driving financial rigor and operational insights across our support offerings. You will own the Support P&L, build capacity-planning frameworks, and partner cross-functionally to shape the financial strategy behind both new and existing support investments. As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis and operational modeling, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, from standing up KPIs for emerging support offerings to assessing the financial impact of commercialization decisions, and you will approach them with first principles thinking to come up with a solution.

Requirements

Deep experience in financial analysis and operational modeling
Strong executive presence to communicate with senior leadership
First principles thinking to come up with a solution

Nice To Haves

Experience in hyper-growth environments

Responsibilities

Build and maintain a workforce management capacity model in partnership with Product, Support, Data Science, and StratOps teams to ensure optimal resource planning and allocation across support functions
Own and operate the Support P&L, driving visibility into cost structure, margin dynamics, and financial performance across all support offerings
Design and implement new KPIs and reporting frameworks for both new and existing Support offerings, enabling data-driven decision-making and real-time visibility into operational and financial health
Partner with Commercialization on impact analysis for new Support offerings, assessing financial viability, pricing implications, and expected return to guide go-to-market readiness
Analytically solve problems by gathering and synthesizing large datasets to deliver clear, actionable recommendations to senior leadership; lead the end-to-end recommendation process
Nurture deep, trusted partnerships with Product, Support, Data Science, StratOps, Accounting, IT, and their respective technical teams to align on strategic priorities and drive cross-functional outcomes
Guide process improvement, standardization, and reporting enhancements across Support finance workflows, installing proper controls and simplifying processes to scale with the business