Corporate FP&A Lead

Atlassian•San Francisco, CA

19h•Hybrid

About The Position

Atlassian is hiring a Corporate Financial Planning & Analysis (FP&A) leader to guide company-wide strategic, annual, and quarterly operating planning. The role partners closely with senior finance leaders and teams across FP&A, Investor Relations, Accounting, and Treasury to support business growth, company-level guidance, resource allocation, and decisions in a global market. It is highly visible and suited to a finance professional interested in understanding Atlassian’s business model and modernizing finance operations at scale. The successful candidate will lead global planning and guidance, oversee foreign-exchange forecasting and analysis, and champion AI-enabled tools, automation, and predictive modeling. They will use broad P&L knowledge and scenario analysis to inform financial targets and strategic proposals, and prepare executive presentations that communicate complex financial matters clearly. The role also drives improvements to planning systems, data pipelines, and cross-functional financial workflows. Atlassian allows employees to choose where they work, including an office, home, or a combination. Hiring is possible in countries where Atlassian has a legal entity. Compensation varies by U.S. geographic pay zone, and the role may also be eligible for benefits, bonuses, commissions, and equity.

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.
Mastery of complex financial modeling in Google Sheets and experience with enterprise planning software such as Anaplan, Workday Adaptive, or similar.
Demonstrated success building collaborative partnerships across FP&A, Accounting, and Treasury; identifying business drivers and operational trends; and translating them into accurate, actionable forecasts.
Exceptional written and verbal communication skills, including the ability to turn intricate financial topics into actionable executive summaries.
Ability to manage competing deliverables under tight timelines, adapt proactively when business priorities shift, and maintain analytical rigor.
Direct experience formulating, tracking, and communicating company-level financial guidance, consensus metrics, and earnings-cycle deliverables.
Practical experience with FX impact analysis, constant-currency reconciliations, and multi-currency P&L forecasting.
Hands-on experience or demonstrated fluency with AI tools, including generative AI for data synthesis, automated anomaly detection, or predictive forecasting, and modern data platforms such as SQL and BI and visualization tools.
Strong understanding of US GAAP accounting principles, financial statement integration, and SaaS metrics.
Bachelor’s degree in a quantitative field such as Finance, Economics, or Accounting.

Nice To Haves

MBA, CFA, or CPA.

Responsibilities

Lead global Corporate FP&A planning and establish quarterly and annual financial guidance frameworks in alignment with Finance leaders, Investor Relations, Treasury, and Accounting.
Serve as a core partner across FP&A, Investor Relations, Accounting, and Treasury to coordinate forecast and guidance reviews.
Build and maintain FX forecasting models to quantify currency effects on revenue and margins, partnering with Treasury on risk mitigation and hedging strategies.
Promote adoption of AI-powered financial tools, automated data workflows, and predictive modeling to accelerate forecasts, improve accuracy, and scale reporting.
Use knowledge of revenue, headcount, expenses, and the full P&L to guide the broader FP&A team toward financial targets.
Prepare executive presentations and briefing materials for the CFO, Investor Relations, and senior leadership, explaining complex financial narratives clearly.
Conduct sensitivity analyses and scenario modeling to evaluate strategic investments and guidance proposals.
Identify financial workflow bottlenecks and lead efforts to modernize planning systems, data pipelines, and cross-functional financial operations.