Are you ready to shape the financial strategy behind the next frontier of artificial intelligence? We're looking for a Senior Financial Analyst to partner with this transformative business. The Agentic AI Finance team provides strategic financial leadership for one of Amazon's most ambitious AI initiatives, including Quick Suite and Kiro. In this role, you will support a fast-scaling organization developing AI agents that solve complex problems and drive customer value. You'll develop financial models and insights that guide investment decisions, optimize resource allocation, and accelerate the path from innovation to impact. This role combines financial expertise with the opportunity to work on transformative technology. You'll collaborate with engineering, product, and business leaders to drive smarter decisions about pricing, feature optimization, and strategic investments. Your work will directly influence how Amazon builds and scales agentic AI systems that will transform industries. We're seeking someone with strong analytical capabilities, experience in financial modeling and strategic planning, and the ability to thrive in ambiguity. You should be energized by complex problem-solving, cross-functional influence, and working in an environment that combines startup velocity with Amazon's global scale. A day in the life You will partner with Agentic AI team to shape financial strategy and enable faster, more informed decision-making. Your day might include analyzing the unit economics of different AI Features, partnering with Product teams on explaining growth drivers, developing pricing frameworks for new agentic capabilities, or presenting financial insights in business reviews. Because this is an emerging and rapidly evolving space, you'll help establish new financial mechanisms and frameworks. You'll have the opportunity to showcase your work with senior leaders and influence decisions that shape the future of Agentic AI. This role is ideal for someone who enjoys continuous learning and thrives on solving novel problems.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees