Sr Manager, PMT-ES, Design Systems, AWS Applied AI Solutions

Amazon Web Services (AWS); New York (NY); On-site; USD 219,000 - 297,000; Full time

Job summary

Amazon Development Center U.S., Inc. in New York, NY is seeking a senior product leader to own the design system vision and roadmap.

You will partner with engineers and designers to deliver a scalable system used by multiple AWS teams, balancing quick wins with long-term architecture. Expect 8+ years in technical product management, 5+ years of people leadership, and deep expertise in design systems and frontend platforms.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years of technical product management experience.
• 5+ years of people management experience with direct hiring, performance management, and team development.
• Deep expertise in design systems, front-end engineering, or developer experience platforms.
• Track record of shipping developer-facing SDKs, component libraries, or platform products used by multiple teams.
• Strong technical fluency — able to make architecture decisions and review code with engineers and designers.

Responsibilities

• Own the product vision and roadmap; define design system priorities based on portfolio needs and research.
• Balance near-term adoption with long-term architectural bets and coherence across the experience layer.
• Lead paired engineer + designer collaborations to build and scale the design system.
• Drive platform adoption by releasing incrementally and validating with research.
• Partner with design leader to hire, develop, and retain talent in design systems and agent AI.
• Set governance for prioritization, release cadence, and design-token management.

Skills

Technical product management

People management

Design systems

Cross-functional leadership

Architecture & code review

Strategic thinking

Education

Bachelor's degree in Computer Science or related field

Tools

React ecosystem

Figma tooling

Design token pipelines

Job description

Description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Key Job Responsibilities

• Own the product vision and roadmap. Define what the design system builds next based on portfolio needs, customer feedback, and design research. Balance near‑term adoption with long‑term architectural bets (e.g., confidence/uncertainty primitives, earned context, reasoning transparency).
• Design the best, for the most, for the least. Do the best work for the most customers for the least specialized effort — every unit of work should reach a large number of people, not one targeted product. Resist one‑off asks from individual apps; reframe them into patterns that generalize. Stop at doing the work for a team — do it with them and for everyone. Build coherence across the experience layer and a felt sense of product family, not siloed one‑off features. This is the systems‑thinking bar for the whole team.
• Balance velocity with room to explore. Be a force for the team's momentum, and plan deliberately for exploration where it counts — research, inspiration, and critique — so the hardest problems get the depth they deserve instead of being rushed. Know when a problem earns many explorations and when one will do.
• Lead the "Own It. Ship It. Together." collaboration model. The team operates through a paired model — named engineer + designer from day one, building simultaneously rather than sequentially. Sustain and scale this model as more teams adopt the design system.
• Drive platform adoption without mandates. The guiding principle is that adoption is earned through usefulness, not mandates. Grow adoption by releasing incrementally, validating with research, generalizing proven solutions, and directly supporting the engineering teams who take a dependency on the design system across AAIS and beyond.
• Steward the shared design system partnership. Own the integration layer that adapts proven patterns for product team consumption, and the working relationship that brings durable patterns into the shared AWS design system for broad adoption.
• Shape the long‑lead investments that support builders. Determine the longer‑horizon bets the design system needs to make to support how builders will work next — agents that compose UI, MCP‑based integration, mobile‑native, voice and multimodal. Own the roadmap for these before they're urgent.
• Partner with the design leader to hire, steer, and develop the team. The UX designers sit within the AAIS UX design organization; the front‑end engineers sit with you. Partner closely with the design leader to hire, develop, and retain world‑class talent at the intersection of design systems and agentic AI.
• Set and maintain a single quality bar. Establish governance for prioritization, release cadence, documentation standards, and design‑token management — in partnership with design on the craft bar and owning the business and delivery bar yourself.

What Success Looks Like (First 12 Months)

• Design system adoption grows from 3 AAIS products to portfolio‑wide coverage, with measurable reduction in per‑team UX build cost.
• The design system's full offering is available to the Connect family at 65% or more through the shared design system - and key workflows are unlocked.
• The experimental innovation track is established, with early AI‑native prototypes and a scoped set of long‑lead builder investments (composing agents, MCPs, multimodal).
• Team health and retention remain strong through a smooth transition from the current interim structure.
• Strategic roadmap items (confidence primitives, earned context, reasoning transparency) have defined requirements and early prototypes.

About The Team

ABOUT AWS:

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

Basic Qualifications

• Bachelor's degree in Computer Science or a related field
• 8+ years of technical product management experience.
• 5+ years of people management experience with direct responsibility for hiring, performance management, and team development.
• Deep expertise in design systems, front‑end engineering, or developer experience platforms.
• Track record of shipping developer‑facing SDKs, component libraries, or platform products used by multiple teams.
• Strong technical fluency — able to make architecture decisions, review code, and engage deeply with engineers and designers on implementation tradeoffs.
• A strong sense of craft and taste, and a desire to raise the bar — willing to invest more effort now for work that scales better later, rather than always optimizing for speed.

Preferred Qualifications

• Experience managing a team of engineers and scientists
• Experience building for AI/ML or agentic applications — understanding how LLM‑driven interfaces differ from traditional UIs.
• Interest in, or experience with, how design systems adapt to vibe coding and agent‑readable design systems is a strong plus.
• Genuine enthusiasm for design and visual culture — you care how a product feels to use, not just whether it works, and you can articulate why you prefer one well‑made product over another.
• Demonstrated ability to manage a horizontal platform team serving multiple product consumers with competing priorities.
• Experience with the React ecosystem, Figma design tooling, and design token pipelines.
• Background in human‑computer interaction, interaction design, or UX engineering.
• Familiarity with AWS services and the Cloudscape design system.
• Comfort operating in a fast‑moving, highly ambiguous environment where the team is inventing new interaction paradigms for agentic AI.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 219,100.00 - 296,500.00 USD annually

USA, WA, Seattle - 199,200.00 - 269,500.00 USD annually

Company

- Amazon Development Center U.S., Inc.

Job ID: A10487613