Corporate FP&A Manager
Databricks Mosaic · Mountain View, California · San Francisco, California
Infrastructureonsitemanager$169k–$233k
At a glance
Highlights
- Own company-wide cash flow forecast across monthly, annual and long-range plans.
- Lead quarter-end cash landing process to minimize free cash flow variance.
- Report key cash metrics for monthly business reviews, CFO reviews and Board.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits and perks
Ideal candidate
You have 6-8+ years in FP&A or corporate finance, ideally in SaaS, and love translating complex cash drivers into clear executive insights. Organized and calm under deadlines, you hold partners accountable and raise risks early.
Requirements
- Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field
- 6-8+ years of experience in FP&A, Corporate Finance, or a related field, ideally at a technology, SaaS, or consumption-based company
- Hands-on experience building and owning direct and indirect cash flow forecasts
- Strong understanding of the three financial statements and how billings, collections, payables, payroll, and capital spending flow through to cash
- Experience working with Treasury on cash, liquidity, and interest forecasting
- Strong financial modeling skills in Excel and Google Sheets, with experience in a planning tool such as Anaplan
- Experience using, or a strong interest in using, SQL, dashboards, and AI tools to automate recurring finance work
- Familiarity with ERP and finance systems such as SAP and NetSuite is a plus
- Clear written and verbal communication, including turning complex analysis into simple takeaways for executives
- Calm, organized execution under tight quarter-end deadlines, and the confidence to raise risks early and hold partners accountable
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration
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