Senior Product Designer - AI-Driven Tools

Amazon Inc.; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon seeks a Senior Product Designer for the Communications Tech team to own end-to-end product design of tools used by communications professionals. You will operate with senior leadership visibility and coordinate with multiple engineering teams while remaining deeply customer-focused.

The role emphasizes simplifying complex, data-heavy products through an AI-native mindset, rigorous research, and hands-on design work embedded with engineers.

Qualifications

• Hands-on designer with ability to work with non-technical stakeholders.
• Deep experience translating complex data into intuitive interfaces.
• Ability to lead design across multiple projects and teams.

Responsibilities

• Passionate about creating elegant, simple to understand designs.
• Lead design strategy and deliver solutions from concept through launch, using AI-assisted prototyping to compress the gap between idea and testable artifact.
• Partner deeply with engineering to ensure designs are feasible, production-ready, and aligned with system architecture.
• Continuously adopt emerging AI capabilities into your design workflow to increase speed and quality.
• Influence product direction by identifying design opportunities and shaping roadmaps with leaders.
• Develop working prototypes to learn and fail fast.
• Partner with product and business teams to balance immediate needs with scalable solutions.
• Proactively manage your own work queue, time, and deadlines.

Skills

Design leadership

Research methods

AI-assisted design

Interaction design

Prototyping

Cross-functional collaboration

Job description

Amazon seeks a Senior Product Designer for the Communications Tech team to own end-to-end product design of tools used by communications professionals. You will operate with senior leadership visibility and coordinate with multiple engineering teams while remaining deeply customer-focused.

The role emphasizes simplifying complex, data-heavy products through an AI-native mindset, rigorous research, and hands-on design work embedded with engineers.