Senior FP&A Manager: AI-Driven Revenue Forecasting

Fortinet, Inc.

Sunnyvale (CA)

On-site

USD 200,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k)

Job summary

Fortinet, Inc. is seeking a Senior Manager to lead FP&A for the global sales organization from Sunnyvale, CA. You will shape a data‑driven reporting framework, linking billings to revenue and optimizing contribution margins across hardware and services.

You will partner with Sales, Operations, HR, and Accounting to drive headcount planning, commission modeling, and timely OPEX management, while advancing AI‑assisted analytics to streamline forecasting and month‑end close.

Qualifications

  • Bachelor’s degree in Finance, Accounting, Economics, or related field required.
  • MBA/CPA/CFA or equivalent advanced degree preferred.
  • Experience in FP&A or Sales Finance in tech/cybersecurity environment is essential.

Responsibilities

  • Lead strategic financial reporting and revenue forecasting for global sales.
  • Own headcount, expense, and commission modeling, including deferred commissions.
  • Drive integration of analytics and dashboards into FP&A workflows to accelerate projections.
  • Act as financial partner to Sales leadership and HR for planning cycles and variance analysis.

Skills

Excel expert
ERP systems
EPM/Financial systems
Tableau
SQL
AI tools / GenAI

Education

Bachelor’s degree in Finance/Accounting/Economics
MBA, CPA, CFA or equivalent preferred

Tools

Oracle
SAP
Hyperion
Anaplan

Job description

Fortinet, Inc. is seeking a Senior Manager to lead FP&A for the global sales organization from Sunnyvale, CA. You will shape a data‑driven reporting framework, linking billings to revenue and optimizing contribution margins across hardware and services.

You will partner with Sales, Operations, HR, and Accounting to drive headcount planning, commission modeling, and timely OPEX management, while advancing AI‑assisted analytics to streamline forecasting and month‑end close.

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