Sr. UX Designer, Database UX

About the role

- We're a centralized UX team that covers the full AWS database portfolio - RDS, Aurora, DSQL, DynamoDB, ElastiCache, MemoryDB, Keyspaces, Timestream, DocumentDB, Neptune, and Redshift. We sit within the broader Customer Experience organization and operate at two levels: within individual services (deep, focused work) and across the portfolio (connected, strategic work). - The team mixes experienced Amazonians with people from startup and enterprise backgrounds. We use modern tooling - including generative AI - to prototype fast, test ideas early, and ship with confidence.

Requirements

• 6+ years of design experience
• Have an available online portfolio
• Experience with AI/ML technologies
• Experience with UI design for complex workflows and for end users
• Experience with Figma and familiarity with AI-assisted code generation tools (e.g., Cursor, Copilot, Claude, v0, Bolt).
• Bachelor's degree or above in design, human-computer interaction (HCI)
• Experience with UX design of complex workflows
• Knowledge of best practices for

Additional Information

AWS Databases power some of the most demanding workloads on the planet - from global banking transactions to real-time gaming leaderboards to AI training pipelines. We're looking for a Senior UX Designer who wants to shape how hundreds of thousands of customers interact with this technology, and who can take an idea from sketch to working prototype in the same week. You'll join a centralized design team that works across the entire AWS database portfolio - relational, NoSQL, in-memory, graph, analytics, and more. That means variety: one quarter you might redesign how engineers monitor query performance across clusters, the next you might define a brand-new onboarding experience for a service launch. You'll collaborate directly with product and engineering leaders, advocate for customers using real research, and use generative AI tooling to move faster than traditional design teams can. We want someone who's curious about technical customers, comfortable with ambiguity, and excited to own problems end-to-end - from understanding why something is hard, to shipping something that makes it easy. Key job responsibilities Own customer experiences across multiple database services - Own the design of features and workflows that span AWS database services. You'll work on high-visibility projects as well as longer-term initiatives that improve how the entire portfolio hangs together for customers. - Find the pain points that cut across services - confusing navigation patterns, inconsistent workflows, gaps in self-service - then build a vision for fixing them and get cross-team buy-in. - Use the AWS Design System as a foundation, and push beyond it with patterns, illustrations, and data visualizations tailored to database customers. - Track whether your designs actually help. Define metrics, measure improvements, and use results to build momentum for further investment. Collaborate across product and engineering to ship better experiences - Develop and pitch design strategies grounded in customer evidence. - Work with product managers and engineers to define what "good" looks like for customers. Present work to leadership for feedback and alignment. - Dig into customer needs through research, feedback channels, support tickets, and usage data. Turn that understanding into journey maps, jobs-to-be-done, and design recommendations. - Define clear paths to improve specific services, and measure the impact of UX changes over time. Own projects from research through working prototype - You're involved from discovery through delivery - not just the pixels in between. That includes building functional prototypes with AI-assisted coding tools so you can validate ideas with users before engineering commits resources. - Produce the full range of design artifacts: flows, IA, visual design, data visualization, and interactive prototypes. - Contribute to Amazon's Working Backwards process - write and shape narratives (PR/FAQs) and render early concepts that bring ideas to life. - Use generative AI daily: synthesize research faster, explore more alternatives, produce working prototypes through vibe coding, and critically evaluate what AI gives you before it reaches customers. Know when AI helps and when it doesn't, and handle sensitive data responsibly. A day in the life - Dive deep into product requirements and partner with stakeholders to raise the bar for how customers will achieve their goals - Plan and drive design thinking sessions, building an understanding of the problems and expectations of customers through collaboration and double diamond exercises - Build a semi-functional POC using vibe coding platforms like Kiro and presenting your solutions to product, engineering and design leadership - Drive self-owned and team-owned goals, from inception to delivery, gaining influence with stakeholders and leaders

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