Corporate FP&A Lead

Role Overview

The Corporate FP&A Lead will be part of a team that acts as the “glue” across Finance to drive Atlassian’s continued success, and who are responsible for strategic, annual, and quarterly operating planning for the entire company.

What You Will Do

The role involves leading strong business partnerships across FP&A, Accounting, and Treasury, working closely with senior leadership to drive business growth, steward company level guidance, and navigate global market dynamics.

Why It Might Be a Fit

The ideal candidate is a passionate finance professional interested in developing a strong understanding of Atlassian’s business model and modernizing how finance operates at scale.

Requirements

• 7 to 10+ years of experience in Corporate FP&A, Strategic Finance, Investment Banking, or Management Consulting, with a proven track record in high growth SaaS or Technology companies.
• Advanced Financial Modeling: Mastery of complex financial modeling in Google Sheets, with experience in enterprise planning software (such as Anaplan, Workday Adaptive, or similar).
• Proven Cross Functional Partnership: Demonstrated success building strong, collaborative partnerships across FP&A, Accounting, and Treasury to uncover key business drivers, understand underlying operational trends, and translate them into accurate, actionable financial forecasts.
• Executive Ready Communication: Exceptional written and verbal communication skills with the ability to distill intricate financial topics into actionable executive summaries.
• Adaptability & Resilience: Demonstrated track record of managing competing deliverables under tight timelines, proactively pivoting focus when business priorities shift, and maintaining high analytical rigor without missing a beat.
• Guidance and Earnings Experience: Direct experience formulating, tracking, and communicating company level financial guidance, consensus metrics, and earnings cycle deliverables.
• FX and Global Financial Modeling: Practical experience with FX impact analysis, constant currency reconciliations, and multi currency P&L forecasting.
• AI and Modern Analytics Acumen: Hands on experience or demonstrated fluency in leveraging AI tools (such as generative AI for data synthesis, automated anomaly detection, and predictive forecasting) along with modern data platforms (SQL, BI and visualization tools).
• GAAP and SaaS Metrics Mastery: Strong understanding of US GAAP accounting principles, financial statement integration, and SaaS metrics.
• Education: Bachelor’s degree in a quantitative field (Finance, Economics, Accounting); MBA, CFA, or CPA is a plus.

Benefits

• health and wellbeing resources
• paid volunteer days

Tagged as: Data Visualization, Financial Modeling, Forecasting, SQL