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Strategic FP&A Manager

·Israel
On-siteFull-timeFinancial AnalyticsSoftware Development

Join a leading event technology SaaS company as a hands-on FP&A Manager. Own budgeting, forecasting, and AI-powered reporting, driving strategic decisions through data. This individual contributor role reports to the CFO and requires deep SaaS metrics expertise.

Responsibilities

  • Oversee and improve budgeting, forecasting, and financial modeling tools and processes.
  • Design and maintain AI-powered workflows for board reporting, KPI dashboards, and commission calculations.
  • Own the SaaS metrics engine, iterating on ARR, NRR, CAC, LTV, and churn frameworks.
  • Deliver financial forecasting and performance analysis to stakeholders.
  • Prepare board presentations and monthly/quarterly reporting packages for leadership and investors.
  • Participate in monthly, quarterly, and yearly closing processes, including provisions and audits.
  • Calculate quarterly sales commissions, MBOs, and partner payments.
  • Build revenue forecast models and analyze key revenue drivers and spending leverage.
  • Lead ad-hoc financial projects and ROI analyses.

Requirements

  • 5-7 years of FP&A experience in a software/SaaS company.
  • Bachelor's degree in Economics, Industrial Engineering, Accounting, or Business Administration.
  • Deep expertise in SaaS metrics (ARR, NRR, Churn, CAC, LTV).
  • Strong analytical skills with data mining and trend analysis.
  • Advanced Excel and PowerPoint skills.
  • Hands-on experience with CRM/ERP systems, including Salesforce reporting; NetSuite preferred.
  • Proven experience building AI tools and automations, with Claude strongly preferred.
  • High English proficiency, written and spoken.
  • Self-starter with independence, ownership, and accountability.
  • Fast learner adaptable to new tools and processes.
  • Excellent interpersonal and collaboration skills.
  • Strong organizational and time-management skills under tight deadlines.

Nice to have

  • MBA or CPA.
  • Familiarity with BI tools like Looker.
  • Experience building AI-assisted reporting/analysis pipelines.

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