8+ years of experience in FP&A or Corporate Finance with a focus on forecasting and revenue-related metrics
Deep experience with SaaS models and operating metrics, including how NNARR informs billings and revenue
Strong understanding of revenue mechanics, including revenue waterfall, deferred revenue, merchant fees, contra revenue, and revenue recognition timing
Advanced Excel and modeling skills; experience with BI and data tools (Tableau, Databricks, Oracle Financials)
Requirements:
Own forecasting across revenue-related metrics, including billings, revenue, NNPU, ARPU, merchant fees, and contra revenue items, leveraging NNARR and upstream inputs and maintaining methodologies that translate bookings into revenue (cohorting, ramp, retention, and revenue recognition timing)
Partner with Investor Relations and Corporate Finance leadership to develop forecasts and scenarios and translate analyses into clear narratives for senior stakeholders
Drive insight and decision support by analyzing key drivers across billings and revenue metrics to identify risks and opportunities and providing a centralized financial perspective for strategic decisions and investment trade-offs
Improve forecasting processes and systems by driving initiatives that enhance accuracy, scalability, and efficiency and partnering with Analytics, Business Platform, and IT to improve data quality and tooling
Job description
Role Description
Dropbox is seeking an experienced Corporate Finance leader to drive forecasting, analysis, and strategic insights across revenue-related metrics. This role sits within Corporate Finance and partners closely with Revenue FP&A and cross-functional stakeholders to deliver a unified, high-quality view of business performance and outlook.
This is a highly dynamic role with significant ownership over complex, high-impact areas. The ideal candidate will drive forecast rigor, improve processes, and influence decision-making across Finance and business leadership.
Responsibilities
Own forecasting across revenue-related metrics, including billings, revenue, NNPU, ARPU, merchant fees, and contra revenue items, leveraging NNARR and upstream inputs and maintaining methodologies that translate bookings into revenue (cohorting, ramp, retention, and revenue recognition timing)
Support guidance and executive communication by partnering with Investor Relations and Corporate Finance leadership, developing forecasts and scenarios, and translating analyses into clear narratives for senior stakeholders
Drive insight and decision support by analyzing key drivers across billings and revenue metrics to identify risks and opportunities and providing a centralized financial perspective for strategic decisions and investment trade-offs
Partner across Finance and business teams, aligning with Revenue FP&A and collaborating with Accounting, Tax, Treasury, LRP, Corporate FP&A, Finance Systems, and business teams to ensure consistency in assumptions, reporting, and financial narratives
Improve forecasting processes and systems by driving initiatives that enhance accuracy, scalability, and efficiency and partnering with Analytics, Business Platform, and IT to improve data quality and tooling
Contribute to Finance excellence by ensuring consistency in forecasting methodologies and elevating analytical rigor and standards across the organization
Requirements
At least 8+ years of experience in FP&A or Corporate Finance, with a focus on forecasting and revenue-related metrics
Deep experience with SaaS models and operating metrics, including how NNARR informs billings and revenue
Strong understanding of revenue mechanics, including revenue waterfall, deferred revenue, merchant fees, contra revenue, and revenue recognition timing
Advanced Excel and modeling skills; experience with BI and data tools(e.g., Tableau, Databricks, Oracle Financials)
Proven ability to independently own complex forecasting areas and ambiguous, high-impact projects
Strong communication, storytelling, and cross-functional influence skills
Preferred Qualifications
Experience with financial planning systems such as Oracle PBCS
Familiarity with Pigment, Anaplan, and emerging AI-driven planning tools
Experience building and maintaining revenue forecast models that incorporate NNARR, cohort behavior, and revenue recognition timing.