Amazon.com Services LLC
Technology
SrManagerAIUXSystems,DeviceDesignTeam
Neural analysis suggests this role is
optimal for Manager candidates.
“Sr Manager AI UX Systems, Device Design Team at Amazon.com Services LLC. Skills: AI-powered interactions, Hardware software, Interaction paradigms, Ambient interfaces, Design systems. Lead concept development. Craft product narratives”
What You'll Achieve.
Ship impactful products; Customers love products
Industry & Context.
User insights; Technical possibilities; Ambiguous problem spaces
What They're Looking For.
Must Have
10+ years UX/interaction/product/industrial design, Portfolio of user-centered design solutions, Excellent communication, presentation, storytelling, Rapid, iterative design and development, Presenting to and influencing people, Leading projects and teams, Best practices for multi-platform IA, Usability principles and techniques, Bachelor's or equivalent in Design, HCI, ID, or related field
Nice to Have
Excited about AI in consumer devices, Working at intersection of strategy and execution, Engaging in early, ambiguous problem spaces, Comfortable switching between IC and Manager, Grow in a place that supports flexible career paths
What You'll Do.
Lead concept development
Craft product narratives
Design user experiences
Translate user insights
Develop design solutions
Iterate design solutions
Drive work from concept to execution
Contribute to shipped products
Define team's design culture
Define team's tooling
Define team's methods
Imagine how AI can reshape objects
Prototype new interaction models
Design interaction paradigms
Design ambient computing
Design systems that listen
Design systems that learn
Design systems that act
Create unified interaction model
Define core information persistence
Define user intent persistence
Define feedback persistence
Co-create physical products
Integrate physical digital interactions
How You'll Work.
Team & Collaboration
Cross-functional partners; Industrial Design; Engineering; Research; Product Management; Designers; Product managers; Engineers
Communication Scope
Presentation; Storytelling; Presenting; Influencing
Process & Methodology
Iterative design, Iterative development
Full Job Description
We’re looking for a design leader to join our growing Alexa AI Systems team— someone who is energized by the future of AI-powered products and passionate about shaping both the ideas and the products that bring them to life. This is a blended role, ideal for a design leader who thrives as a hands-on people manager. You will work at the front lines of invention, crafting product stories that explore bold, new directions in AI, then seeing them through to tangible hardware and software launches. You’ll collaborate closely with cross-functional partners in Industrial Design, Engineering, Research, and Product Management to prototype, test, and scale new experiences that bridge physical and digital design. Key job responsibilities • Explore & Define: Lead early-stage concept development that pushes the boundaries of AI-powered interactions across hardware and software. • Design with Intent: Craft compelling product narratives and user experiences that align emerging technologies with human needs. • Collaborate Across Disciplines: Work fluidly between atoms and pixels—translating user insights and technical possibilities into integrated designs. • Prototype & Build: Develop and iterate design solutions through hands-on prototyping and close partnership with engineering. • Ship Impactful Products: Drive work from concept to execution and contribute to shipped products that customers love. • Shape the Team: Depending on your track, mentor designers and/or help define the future of the team’s design culture, tooling, and methods. A day in the life What You’ll Explore and Influence: 1) Exploring new hardware and software opportunities powered by AI: You’ll lead design team efforts that imagine how AI can reshape the form and function of everyday objects. This goes beyond simply integrating AI into existing devices—it’s about asking what new kinds of devices should exist because AI exists. You’ll prototype new interaction models that leverage onboard machine learning, edge in
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