Build the future of finance at the center of Amazon's largest business.
Stores Tech Finance FP&A owns the financial narrative for 19,000+ engineers and $3.8B in operating expenses across eCommerce Foundation, Shopping, and Stores Economics & Science—the technology backbone of Amazon Stores. We're not a traditional finance team. We deploy AI and automation to eliminate manual work, deliver real-time insights to SVP/VP leaders, and directly shape how Amazon invests in technology.
We're looking for a Finance Manager who wants to operate at the intersection of strategic finance and emerging AI capabilities—someone who sees FP&A not as a reporting function, but as an engine for driving business outcomes at scale.
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Why This Role, Why Now?
We're in the middle of a deliberate shift: from transactional reporting to strategic business partnership. Our 2026 goal is to reduce manual close work by 40% and redeploy that time into insights that influence investment priorities. You'll own that transformation alongside a team that's already proving what AI-augmented finance looks like.
What makes this role different:
• AI-first FP&A: You'll use and build upon LLM-powered workflows, automated variance analysis, and AI-generated executive commentary.
• Massive scope, lean team: You'll own consolidation, analysis, and reporting across three Worldwide Stores level organizations. Direct exposure to SVP/VP decision-making, not buried layers below.
• Build, don't just run: This isn't a maintain-the-spreadsheet role. You'll design dashboards, create AI-assisted planning tools, and define the metrics that run a multi-billion-dollar business.
Key job responsibilities
• Own the FP&A heartbeat: Lead end-to-end financial planning, close, and reporting for Stores Tech Finance—monthly close, quarterly Guidance, annual planning cycles—supporting SVP of eCF, Shopping, and SEAS.
• Drive planning cycles: Project-manage cross-group forecasting mechanisms and consolidate financial narratives across eCF, Shopping, and SEAS; deliver executive-ready variance analysis and forward-looking insights to Worldwide Amazon Stores leadership
• Build AI-augmented workflows: Identify, pilot, and scale AI/automation solutions for repetitive FP&A tasks—commentary generation, variance analysis, anomaly detection, and executive reporting
• Elevate strategic partnership: Move beyond reporting to influence decisions through proactive insights, financial modeling, and data-driven recommendations at the VP/SVP level
• Design for scale: Partner with BI and technical teams to build self-service dashboards, standardized metrics, and reporting solutions that reduce cycle time without proportional headcount
• Write for executives: Author VP and SVP-level documents (6-pagers, QBR narratives, Flash updates) that tell the business story with clarity and precision
• Lead special projects: Drive process redesign, automation pilots, and AI integration that push FP&A forward
A day in the life
You start your morning reviewing AI-generated variance summaries and refining the executive narrative for the upcoming business review. Mid-morning, you're partnering with a VP to model the financial impact of a headcount reallocation. After lunch, you're working with the BI team to deploy a new dashboard that replaces a three-hour manual process. By end of day, you've shaped how leadership thinks about a $200MM investment.
This role rewards curiosity, speed, and ownership. You'll operate under tight deadlines with competing priorities, but you'll have the tools, autonomy, and leadership exposure to make outsized impact.
About the team
Stores Tech Finance (STF) is the financial partner for Amazon's retail technology engine. We support eCommerce Foundation, Shopping, and Stores Economics & Science —the teams building the infrastructure, science, and customer experiences that power Amazon.com.
Our mission: Controllership excellence as the foundation, strategic partnership as the aspiration, AI-augmented efficiency as the method. We're a small, high-impact team leading the adoption of Gen AI in finance. We are building toward a fundamentally different operating model for FP&A.
