Sr. Product Designer, Agentic AI Experiences, AWS Billing

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 standards that become how the team operates. Mentor other designers.

• Write narratives that move decisions forward, and serve as the voice of the customer with senior leadership.

A day in the life

You open the day with a customer call: a FinOps lead walks you through where a cost estimate lost their trust before they ever committed. You take that into a working session with your PM and a data scientist to frame the real question, then sketch a few directions for how an agent should show its pricing math and ask permission before it acts. You prototype one in code over the afternoon and put it in front of a developer to watch where they hesitate. Between meetings, you write the argument for the direction you believe in. Your customers run from solo builders to CFOs, and the agents acting for them, and your work decides whether they trust those agents with their money.

About the team

AWS Billing sits at the intersection of trust and scale, and our work ladders into one AWS-wide goal: to be the preferred choice for agents and humans to acquire AI and cloud services. Every customer, from a first-time builder to a Fortune 100 enterprise, relies on us to make pricing, spending, and payments transparent and controllable. We are a tight-knit design group within the larger AWS Design organization. We work with product, engineering, and data science, and we move fast without lowering the craft bar. We judge a designer by the quality of their thinking and the results they deliver rather than by any single method, and we want people who bring their own point of view. We believe billing should not just work. It should build confidence. If hard problems and high ownership energize you, you’ll fit right in. Basic qualifications

• 7+ years of design experience
• Have an available online portfolio
• 2+ years designing for, evaluating, or working closely alongside AI systems
• Experience designing data-dense, multi-step workflows that span several surfaces, with strong information architecture and interaction design
• Experience leading user research projects with demonstrated impact

Preferred qualifications

• A portfolio that reaches past finished UI to show how you understand an audience and think in the early stages, through work such as concept models, journey and ecosystem maps, user stories, and the way you turn research into a design direction
• Experience designing AI-powered or agentic experiences, including delegation, trust, and human-in-the-loop patterns
• Experience prototyping in code using AI coding tools
• Experience designing for billing, payments, pricing, finance, or FinOps products
• Experience designing developer-facing products such as APIs, CLIs, or SDKs, where agents and developers are the users
• Experience designing across conversational, agentic, and console interfaces

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