Sr. UX Manager, AI Services

Key Responsibilities

In this role, you will own the design vision for how builders interact with Bedrock's inference platform, model hosting capabilities, and model customization workflows. Your scope also includes a breadth of other popular AI services, including Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Textract, and Amazon Rekognition. This is a role where your team's design decisions directly shape how millions of customers adopt and scale generative AI in production.

As a Sr. UX Design Manager, you will lead, mentor, and grow a team of UX designers while building a collaborative and inclusive team culture that attracts and retains top design talent. You will define and communicate a cohesive design vision and strategy across the Bedrock platform and the broader AI services portfolio, ensuring consistency and quality across every customer touchpoint, from model selection and capacity monitoring to evaluation and customization workflows.

This is a team that ships product quickly and often.

A core part of your role involves partnering with product management, engineering, applied science, marketing, legal, and research teams to translate complex AI/ML capabilities into intuitive user experiences. You will establish and evolve design processes, frameworks, and quality standards that enable the team to ship high-impact work using data‑driven decision‑making in a way that keeps pace with Bedrock's rapid growth.

You will also lead the team through a period of significant process transformation, establishing new mechanisms and ways of working as emerging AI tools reshape what it means to practice design. This includes defining how the team adopts AI‑assisted workflows, rethinking traditional design processes, and evolving the role of UX within the organization to stay ahead of a rapidly shifting landscape.

You will drive cross‑team alignment on shared design patterns, interaction models, and design systems that scale across multiple AI services. Representing the design team in leadership forums, you will communicate design strategy, progress, and impact to senior stakeholders, connecting customer needs, business goals, and the team's creative output into a clear narrative.

The team designs console experiences for the 6+ AWS AI services, including Amazon Bedrock. Our customers are technical builders who come to the console to discover available AI capabilities, understand how to integrate them, and get to production quickly. We design to educate through the experience itself, helping developers visualize what the APIs offer and build confidence as they move from exploration to implementation.

The team you will manage includes a mix of junior and senior designers. You will grow talent at both ends, mentoring earlier‑career designers hands‑on while giving senior designers room to push the craft forward. The broader service team is dynamic, fast‑moving, and highly technical. They want a design leader who is engaged, not afraid to get into the weeds, and ready to be a true partner in designing the optimal customer journey.

• 10+ years of design experience
• 5+ years of leading multi‑discipline Design teams (ie. visual design, interaction design, user research, etc.) experience
• Experience leading diverse teams across multiple geographies in the delivery of experiences from end to end (user flows, wireframes, prototypes, and high‑fidelity visuals)

• Experience presenting to and effectively advising cross‑functional senior executives
• Experience embedding design within product teams for agile design and development collaboration
• Led teams from zero to fluent in emerging design technologies through structured enablement, change strategy, hands‑on training, and measurable adoption outcomes.
• Fluency in AI agent development using SDKs and CLIs, including designing intuitive CLI commands and developer‑facing interaction patterns that prioritize usability and developer experience.
• Proven ability to thrive in a high‑tempo, rapid‑deployment environment, shipping fast, iterating in real‑time, and delivering tactical outcomes with minimal overhead.

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