# Sr. Product Designer, Agentic AI Experiences, AWS Billing  at Amazon

Amazon is hiring a Sr. Product Designer, Agentic AI Experiences, AWS Billing  in New York, United States. It pays $152k-$205k a year and Level rates it Works on AI ●●●○; you can [apply on Amazon](https://jobsbylevel.com/go/79ac176b-55af-49fe-98fc-9257d2fc0491?utm_medium=ai-agent).

AI Level 3, AI centrality 72 out of 100. US, NY, New York.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 3 (score 72 out of 100)
- Location: US, NY, New York
- Salary: $152k-$205k
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/79ac176b-55af-49fe-98fc-9257d2fc0491?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-product-designer-agentic-ai-experiences-aws-billing-at-amazon-2361a7

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/sr-product-designer-agentic-ai-experiences-aws-billing-at-amazon-2361a7

## Description

Every AWS customer, from a solo developer to a Fortune 100 finance team, eventually asks the same questions. What will this cost before I commit? What am I spending now, and why? What should I do about it? How well AWS answers them decides whether customers trust it and grow on it. AWS Billing owns those answers for millions of customers, inside a business running at a $169 billion annualized revenue run rate. The bar is the one customers already know from Amazon.com: buying and running cloud and AI should feel that simple. That job is changing as AI agents start to act on customers’ behalf. They compare prices and estimate cost before a customer commits, forecast spend, recommend commitments, flag anomalies, and increasingly take action. When an agent touches someone’s money, the design questions get harder: What is it allowed to do on its own? How does it explain itself? How does the customer stay in control and undo what it did? Few products anywhere face these questions at this scale or with these stakes. No cloud provider has made this feel simple yet, so the patterns here are still open, and you’d help set them. We’re looking for a Senior Product Designer to help answer those questions. You’ll define how customers and AI agents work together to understand pricing, forecast spend, and control cost, from the first estimate to the final invoice, and you’ll shape what other teams build on. The range is the hard part: the smallest customers need simple pricing and no surprise costs, while the largest need commercial flexibility and configurable controls, and the same work has to serve both. You work across the whole design cycle, and you don’t rush to push pixels. Before the problem is clear, you map how the pieces of a customer’s cloud spend fit together, sketch concepts, and write the user stories that frame the work. You can give a vague problem enough structure that the right direction becomes obvious. You’re just as strong building: you prototype in whatever tool fits, AI coding tools included, and you adjust how you work to the problem, the timeline, and the team. - Design for trust where it matters most: Billing is where customers decide whether to trust AWS with their money, and where AI has to earn that trust. - Define agentic UX, not just screens: Your work shapes how AI behaves for customers, not just how it looks. - Work with a wide range of customers and rich data: Design for developers, FinOps practitioners, CFOs, and channel partners, using some of the richest pricing, usage, and spend data at AWS. - Ship as an embedded partner: Work alongside product, engineering, and data science as one team, with design involved from the first conversation. Key job responsibilities - Frame ambiguous problems before solving them, lead the work through launch, and define the quality measures, including automated reviews of AI answers, that show whether what ships is improving. - Shape how customers understand pricing and estimate cost before they commit, turning complex pricing models into clear choices. - Define how AI agents act on customers’ behalf: what they do autonomously, where humans approve, and how customers undo actions that move money. - Design trust patterns that surface an agent’s confidence, reasoning, and attribution, so customers understand why it acts. - Design conversations in a clear, trustworthy voice: how an assistant asks clarifying questions, explains what’s driving a customer’s costs, and recovers when it misunderstands, isn’t sure, or gets a number wrong. - Shape how agents behave by writing and refining their instructions and prompts with science partners. - Create coherent experiences across conversational, agent-driven, and console interfaces, so a customer or an agent finishes the task on the first try, with strong defaults and little effort. - Partner early with data science, legal, and policy as co-designers on AI features with financial or compliance complexity. - Establish patterns and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/sr-product-designer-agentic-ai-experiences-aws-billing-at-amazon-2361a7

Source: https://jobsbylevel.com/jobs/sr-product-designer-agentic-ai-experiences-aws-billing-at-amazon-2361a7

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Level. https://jobsbylevel.com/jobs/sr-product-designer-agentic-ai-experiences-aws-billing-at-amazon-2361a7.

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