Sr. Ux Manager, AI Services

Amazon Amazon · Big Tech · San Francisco, CA · Design

This role is for a Sr. UX Design Manager leading the design team for Amazon Bedrock and other AWS AI/ML services. The focus is on the user experience of a generative AI platform, including inference, model hosting, and customization. The manager will lead, mentor, and grow a team of UX designers, define design strategy, and partner with various teams to translate complex AI/ML capabilities into intuitive user experiences. The role emphasizes shipping product quickly, adapting to emerging AI tools, and driving cross-team alignment. The customers are technical builders using these services in production.

What you'd actually do

  1. lead, mentor, and grow a team of UX designers while building a collaborative and inclusive team culture that attracts and retains top design talent.
  2. 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.
  3. partnering with product management, engineering, applied science, marketing, legal, and research teams to translate complex AI/ML capabilities into intuitive user experiences.
  4. 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.
  5. 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.

Skills

Required

  • 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

Nice to have

  • 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.

What the JD emphasized

  • lead the design team responsible for Amazon Bedrock and the broader AWS AI/ML portfolio
  • own the design vision for how builders interact with Bedrock's inference platform, model hosting capabilities, and model customization workflows
  • This is a team that ships product quickly and often.
  • partnering with product management, engineering, applied science, marketing, legal, and research teams
  • establish and evolve design processes, frameworks, and quality standards
  • lead the team through a period of significant process transformation
  • defining how the team adopts AI-assisted workflows
  • rethinking traditional design processes
  • evolving the role of UX within the organization
  • drive cross-team alignment on shared design patterns, interaction models, and design systems
  • Representing the design team in leadership forums
  • communicate design strategy, progress, and impact to senior stakeholders
  • 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.
  • 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.