Product Designer
Amazon
Product Designer
Amazon
Sells products online and rents cloud computing
Observability is being rewritten. For a decade the job was to watch servers, services, and dashboards — metrics, logs, and traces for systems that did what they were told. That world is ending. The systems people now have to understand reason, call tools, and act on their own, and they generate signal at a scale and unpredictability the old tooling was never built for. When something breaks at 2am, the question is no longer only "which host is down" — it's "what did the system decide, why, and what did it touch."
AWS CloudWatch is where that gets solved at scale, for hundreds of thousands of engineers. You'll focus on two of the places that future is being built: Omni, a blank-canvas, IDE-style way to explore and query telemetry, and the DevOps agent — an AI agent that helps engineers investigate and resolve issues with a human in the loop. Your work will shape how engineers actually move through these experiences: what they see first, how they navigate, and how a problem goes from signal to cause to fix.
We're looking for a Product Designer who's hungry to do excellent craft on genuinely hard problems. You won't be handed pixel-perfect specs to execute — you'll own features end to end, partner closely with PM and engineering, and grow your scope as you show you can carry it. You'll have senior designers around you to learn from and a domain where the right answers aren't settled yet.
If you want to sharpen your craft on one of the most consequential problems in cloud — alongside people who treat CX as the thing that wins, not the thing you add at the end — this is a great place to do it.
Key job responsibilities
1. Own the design of features within Omni and the DevOps agent experience — from early exploration and IA through interaction, visual craft, and ship — with guidance from senior designers and your manager.
2. Make complex system behavior legible: turn high-cardinality, fast-moving telemetry and agent activity into views an engineer can actually reason about.
3. Design for the agentic shift — experiences where an AI agent helps engineers investigate and resolve issues, and where the human stays firmly in control (what the agent found, what it proposes, and how a person approves or redirects it).
4. Partner day to day with PM and engineering, contributing to problem definition — not just executing handed-off specs — and iterating quickly from their input.
5. Build prototypes that communicate intent precisely and move conversations forward.
6. Fold in evidence — usability testing, customer sessions, and telemetry — and let what you learn change the design.
7. Contribute to the shared design system: use and extend patterns rather than inventing one-off screens.
A day in the life
Morning. You pick up the feature you're closest to — say, how the Omni/DevOps agent surfaces what it found while triaging an incident, and how an engineer approves or redirects the next step. You've got a flow in progress and a couple of questions from yesterday's sync. You take a focused block to push the interaction model before the day fills up.
Midday. A working session with your PM and an engineer. You walk through your latest cut, hear what's technically cheap versus expensive, and leave with a sharper direction. You're part of the problem-definition conversation, not waiting at the end of it.
Afternoon. You sit in on a customer usability session and watch someone get stuck exactly where you worried they might. You bring the flow to design critique, get it pressure-tested by the broader team, and give feedback on someone else's work too. You end the day updating your prototype with what you learned.
The throughline. You're close to real customer problems, you're growing your scope with real support around you, and the work you do shows up in the product in weeks, not quarters.
About the team
We're the design team behind the broader AWS Security, Search, Observability & Governance organization. Our mandate is to make the most technical, highest-stakes workflows in cloud feel clear, fast, and even good to use.
What's distinctive about us:
- Design is the competitive advantage here. We're betting that in a market still figuring out what observability for the AI era even looks like, the team with the clearest experience wins — and we back that with real scope for designers at every level.
- We ship, and we ship hard things. Omni, the DevOps agent, core monitoring at massive scale — these are launching now, to real customers, against real competitors. Your work isn't theoretical.
- We work from evidence. Usability labs, customer sessions, and telemetry are part of the rhythm, not an afterthought.
- It's a place to grow. The designers around you have deep backgrounds in AI, cloud infrastructure, and enterprise platforms. You'll be challenged, well-supported, and surrounded by people worth learning from.
If you want to do excellent work in observability for the AI era — and grow fast while you're at it — come build it with us.
- Experience in design
- Experience in delivering design solutions as a UX designer or interaction designer
- Have an available online portfolio
- Experience prototyping (HTML, XHTML, JavaScript, CSS, Flash or Flash Catalyst, or Axure)
- Experience in mass-market consumer web / mobile products
- Experience working in a collaborative team and working directly with developers for implementation of designs
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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