layiq
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…Job opportunity
Santa Clara, CA; Seattle, WA; New York, NY
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
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 becomes "what did the system decide, why, and what did it touch."
AWS is where that gets solved at scale. Hundreds of thousands of engineers depend on it to understand their applications, infrastructure, and now the AI agents running inside them. We're reimagining the whole experience for this shift — from how you explore and query telemetry, to how you manage service health and SLOs, to how you observe and debug autonomous agents, to the AI agents that help engineers investigate and resolve issues, to how customers migrate off legacy tools and land somewhere genuinely better.
We're looking for a Sr. Product Designer to own meaningful surfaces of that portfolio. This is not a role that decorates engineering decisions. You'll be shaping how engineers reason about systems that are, themselves, increasingly hard to reason about. The problems are genuinely unsolved, the mental models aren't settled, and the person in this seat gets to help set them. If you want a canvas where design thinking directly shapes what gets built on one of the hardest, highest-stakes problems in cloud right now then this is it.
Key job responsibilities
1. Own end-to-end design for the agent observability and ops portfolio from problem framing and IA through interaction, visual craft, and ship.
2. Invent the mental models, not just the screens. The hardest part of this domain is making invisible, high-cardinality, fast-moving system behavior legible — you'll define how engineers navigate it, what they see first, and how they move from signal to cause.
3. Design for the agentic shift from both sides: experiences that help people observe, trust, and debug AI agents — what an agent decided, the tools it called, where it went wrong — and experiences where AI agents help engineers investigate, operate, and resolve issues, with the human firmly in the loop.
4. Design across the surfaces engineers actually work in — console, IDE, CLI, and API-driven experiences — so observability meets them where the work happens instead of forcing a context switch.
5. Partner with PM and engineering from the start of each problem, not the end. On this team design has a seat in defining what to build, and you're expected to use it.
6. Run the loop from evidence — usability testing, customer sessions, and telemetry — and let what you learn reorder what you build.
7. Raise the craft bar across the area you own and the designers around you — through critique, patterns, and a point of view, contributing to a shared design system rather than one-off screens.
8. Design for adoption, not just the happy path — helping customers move off legacy observability tools and land somewhere that feels better, not just different.
We're the AWS Security, Search, Observability & Governance design team. Our mandate is to make the most technical, highest-stakes workflows in cloud feel clear, fast, and even good to use.
Design is a competitive weapon here, not a line item. 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. Leadership backs that bet with real scope for designers.
We ship, and we ship hard things. New exploration experiences, agent observability, migration tooling, 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 — so your point of view is grounded, and you get the satisfaction of watching it land.
The bar is high and the people are senior. The designers around you have deep backgrounds in AI, cloud infrastructure, and enterprise platforms. You'll be challenged, and you'll have peers worth learning from.
If you want to do the defining design work in observability for the AI era on a team that will actually let you come build it with us.
Basic Qualifications
7+ years of design experience
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
How to spot a ghost jobGhost Job Checker: check another job link
The checker shows whether the employer still lists a job.
Intercontinental Exchange · New York, New York
Betterment · Betterment HQ - New York City
Dirac, Inc. · New York City
Plaid · San Francisco, California, United States; Seattle, Washington, United States; New York, United States
Google · San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA
Mindrift · New York, NY, US