The posting, in Airbnb's own words
archived Sep 11, 2026Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The BizTech BI&Analytics team partners with business and finance stakeholders to deliver scalable self-serve analytics & AI transformation programs, budgeting & forecasting solutions, reliable data pipelines, and trusted metrics & dashboards. Empowering timely, compliant, data-driven decisions and a robust analytics foundation across Airbnb.
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The Difference You Will Make:
We are seeking a skilled Senior Systems Engineer to support our Oracle EPM Planning systems and processes, with a strong focus on bringing AI automation and AI agent capabilities into Finance workflows. This is an important role within the Airbnb BizTech organization supporting Finance. The ideal candidate combines solid technical depth in the Finance Budgeting and Forecasting function with hands-on experience building AI automation and AI agents. Responsibilities include financial forecast modeling, system and AI-driven process transformation, integration with the data warehouse, and translating business requirements into scalable Oracle EPM and AI-enabled solutions.
A Typical Day:
Technical Support & System Admin Application: Support the design, configuration, and maintenance of Oracle EPM Planning modules (Financials, Workforce, Capital, Cash Forecast, Long Range Planning, etc). Calculations & Modeling: Develop and maintain business rules and calc scripts. Proficiency in Groovy Scripting for data and forecast modeling. Data Integration: Support data flows with AWS data warehouse, Oracle ERP Cloud, and Workday, leveraging Data Management, EPM Automate, and internal Airbnb integration tools. Environment Management: Assist with the monthly Oracle patch cycle, including regression testing and impact analysis of new features. FP&A Functional Support Process Improvement: Partner with FP&A to streamline the budget and forecasting process by automating manual offline models and enhancing data integration to reduce forecast cycle time and improve accuracy. Reporting & Analytics: Build and maintain reports using EPM Reports; support finance users in Smart View with ad-hoc analysis and template creation. User Support: Support the monthly forecast cycle, resolving issues promptly and engaging Oracle support when needed. AI Automation & Agent Development AI Agent Building: Design, build, and deploy and automated workflows that streamline FP&A processes, using both native EPM AI capabilities and external AI/automation tooling. Process Automation: Identify manual, repetitive finance and systems processes and apply AI automation to reduce cycle time and manual effort. Collaboration: Work with Finance and Tech partners to prioritize AI automation opportunities and deliver AI-generated forecasts, analyses, and insights.