Amazon - Bridge Team

Amazon - Bridge Team

System Design, Design Ops, Design Production, UX Writing, Visual Testing, Design Documentation

System Design, Design Ops, Design Production, UX Writing, Visual Testing, Design Documentation

2013-2020

2013-2020

Sr. Design Manager, Team Lead

Sr. Design Manager, Team Lead

Project info

The Bridge Team: Scaling Design Fidelity Across Amazon’s Device Ecosystem


When Amazon created the Digital Devices Group (DDG), its goal was to unify design and product development across a growing family of hardware, from Kindle readers and Fire Tablets to new, experimental devices. I was part of this shift from the start, leading the 3D architecture for Amazon’s most ambitious device at the time: the Fire Phone.

While building the Fire Phone’s pioneering 3D interface, I also developed something less flashy, but just as foundational: a new model for how design work was produced, documented, and delivered to engineering. We separated design execution from documentation, created specialized workflows, and began forming a dedicated team focused on maintaining fidelity between design and code.

That early system, forged under the pressure of launching the Fire Phone, became the seed for what would later grow into a formal, cross-functional unit: the Bridge Team.


From Fire Phone to Fire TV: Expanding Across Devices

As we wrapped the Fire Phone and began launching the first version of Fire TV, we started expanding this operational model to Amazon’s existing digital products, Fire Tablets and Kindle, and onboarding new programs as they emerged.

We transitioned all production and design documentation work to my team. As the portfolio expanded, so did our scope. When Alexa launched, we natively supported all Alexa-powered devices from the start, alongside products developed internally that never made it to market. If DDG designed it, we supported it.

And as the demand grew, we scaled. What began as a small, specialized group evolved into a full-fledged, embedded service team with disciplines in:

Design Production

Design Documentation

UX Writing

Visual QA (a practice I developed to systematically test visual implementation)

System Design


Auditing the Problem: Inconsistencies and Churn

Before formalizing the team, I led a comprehensive review of the existing design-to-engineering pipeline. Across all device lines, we uncovered similar issues:

Visual discrepancies between mocks and shipped UIs

• Redundant work due to inconsistent asset libraries

Manual spec processes that slowed teams down and caused confusion

• A lack of centralized documentation or QA checkpoints

There wasn’t just friction, there was a real risk to design quality and user experience at scale. I realized we needed to institutionalize what we had built during the Fire Phone era and turn it into an operational foundation for DDG.


Building the Bridge Team

I formally established the Bridge Team within DDG, a cross-functional group designed to close the gap between design intent and implementation.

We embedded directly into the product development cycle to ensure:

Pixel-perfect fidelity between mocks and code

• Centralized and reusable asset libraries

Clear documentation standards and design specs

• Robust QA and validation workflows for every device

The Bridge Team wasn’t just a resource, it became a pillar. We introduced governance, consistency, and operational scalability to an increasingly complex ecosystem of products and teams.


Automation, Standardization, and Scalability

To keep pace with DDG’s rapid growth, we invested in tools and automation:

• Built automated design spec tools to replace manual redlining

• Created a central asset management system using GIT

• Developed responsive component libraries and design tokens for scalable UI

• Standardized Visual QA processes across platforms, enabling us to catch issues early

These changes reduced production time, improved quality, and eliminated the back-and-forth that had previously cost teams both time and trust.


Launching the DDG Design System

Out of this work came another major milestone: the DDG Design System.

I initiated and led the development of Amazon’s first comprehensive design system for DDG, shifting from traditional static guides to dynamic, reusable design components. Over time, we:

• Expanded the design system to support Fire TV, Alexa, and Fire Tablets

• Transitioned tooling from Sketch with custom plugins to InVision, and ultimately to Figma, improving collaboration across roles

• Embedded metadata directly in components to support automated design specs, streamlining the handoff to engineering

This system allowed us to deliver design at scale without sacrificing quality or coherence.


Impact: A Scalable Model for Precision and Efficiency

The results were measurable:

121% increase in overall production capacity (2015–2019)

290% increase in weekly Jira ticket throughput

6,000+ tickets handled in the second half of 2019 alone

• Substantial reductions in engineering rework and visual QA issues

The Bridge Team didn’t just help DDG ship faster, we helped DDG ship better. Our work ensured a consistent, high-quality user experience across a vast array of devices and touchpoints.


Reflection: Building Systems That Last

The Bridge Team wasn’t born overnight. It was the result of years of iterative improvement, grounded in the lessons I learned building the Fire Phone, and scaled across an entire organization.

By embedding operational clarity, automated workflows, and cross-functional collaboration into the core of DDG’s design practice, we created something sustainable, something that could scale with Amazon’s device ecosystem.

More importantly, we brought together disciplines that had previously lived in silos. We connected design to engineering, vision to execution, and intent to reality. And in doing so, we showed what it means to treat design operations as a product in itself, one that delivers clarity, trust, and quality at scale.

The Bridge Team: Scaling Design Fidelity Across Amazon’s Device Ecosystem


When Amazon created the Digital Devices Group (DDG), its goal was to unify design and product development across a growing family of hardware, from Kindle readers and Fire Tablets to new, experimental devices. I was part of this shift from the start, leading the 3D architecture for Amazon’s most ambitious device at the time: the Fire Phone.

While building the Fire Phone’s pioneering 3D interface, I also developed something less flashy, but just as foundational: a new model for how design work was produced, documented, and delivered to engineering. We separated design execution from documentation, created specialized workflows, and began forming a dedicated team focused on maintaining fidelity between design and code.

That early system, forged under the pressure of launching the Fire Phone, became the seed for what would later grow into a formal, cross-functional unit: the Bridge Team.


From Fire Phone to Fire TV: Expanding Across Devices

As we wrapped the Fire Phone and began launching the first version of Fire TV, we started expanding this operational model to Amazon’s existing digital products, Fire Tablets and Kindle, and onboarding new programs as they emerged.

We transitioned all production and design documentation work to my team. As the portfolio expanded, so did our scope. When Alexa launched, we natively supported all Alexa-powered devices from the start, alongside products developed internally that never made it to market. If DDG designed it, we supported it.

And as the demand grew, we scaled. What began as a small, specialized group evolved into a full-fledged, embedded service team with disciplines in:

Design Production

Design Documentation

UX Writing

Visual QA (a practice I developed to systematically test visual implementation)

System Design


Auditing the Problem: Inconsistencies and Churn

Before formalizing the team, I led a comprehensive review of the existing design-to-engineering pipeline. Across all device lines, we uncovered similar issues:

Visual discrepancies between mocks and shipped UIs

• Redundant work due to inconsistent asset libraries

Manual spec processes that slowed teams down and caused confusion

• A lack of centralized documentation or QA checkpoints

There wasn’t just friction, there was a real risk to design quality and user experience at scale. I realized we needed to institutionalize what we had built during the Fire Phone era and turn it into an operational foundation for DDG.


Building the Bridge Team

I formally established the Bridge Team within DDG, a cross-functional group designed to close the gap between design intent and implementation.

We embedded directly into the product development cycle to ensure:

Pixel-perfect fidelity between mocks and code

• Centralized and reusable asset libraries

Clear documentation standards and design specs

• Robust QA and validation workflows for every device

The Bridge Team wasn’t just a resource, it became a pillar. We introduced governance, consistency, and operational scalability to an increasingly complex ecosystem of products and teams.


Automation, Standardization, and Scalability

To keep pace with DDG’s rapid growth, we invested in tools and automation:

• Built automated design spec tools to replace manual redlining

• Created a central asset management system using GIT

• Developed responsive component libraries and design tokens for scalable UI

• Standardized Visual QA processes across platforms, enabling us to catch issues early

These changes reduced production time, improved quality, and eliminated the back-and-forth that had previously cost teams both time and trust.


Launching the DDG Design System

Out of this work came another major milestone: the DDG Design System.

I initiated and led the development of Amazon’s first comprehensive design system for DDG, shifting from traditional static guides to dynamic, reusable design components. Over time, we:

• Expanded the design system to support Fire TV, Alexa, and Fire Tablets

• Transitioned tooling from Sketch with custom plugins to InVision, and ultimately to Figma, improving collaboration across roles

• Embedded metadata directly in components to support automated design specs, streamlining the handoff to engineering

This system allowed us to deliver design at scale without sacrificing quality or coherence.


Impact: A Scalable Model for Precision and Efficiency

The results were measurable:

121% increase in overall production capacity (2015–2019)

290% increase in weekly Jira ticket throughput

6,000+ tickets handled in the second half of 2019 alone

• Substantial reductions in engineering rework and visual QA issues

The Bridge Team didn’t just help DDG ship faster, we helped DDG ship better. Our work ensured a consistent, high-quality user experience across a vast array of devices and touchpoints.


Reflection: Building Systems That Last

The Bridge Team wasn’t born overnight. It was the result of years of iterative improvement, grounded in the lessons I learned building the Fire Phone, and scaled across an entire organization.

By embedding operational clarity, automated workflows, and cross-functional collaboration into the core of DDG’s design practice, we created something sustainable, something that could scale with Amazon’s device ecosystem.

More importantly, we brought together disciplines that had previously lived in silos. We connected design to engineering, vision to execution, and intent to reality. And in doing so, we showed what it means to treat design operations as a product in itself, one that delivers clarity, trust, and quality at scale.

Examples

Pioneering the Power of Design Systems. At a time when the concept of a design system was still emerging, we proved its value through real-world impact. This graph compares two product cycles: “Knight” (the first-generation Echo Show), built without a design system, and “Bishop” (the second-generation Echo Show with a larger screen), developed using our newly established system. The results speak for themselves—627% more screens in a fraction of the time—demonstrating how scalable systems dramatically boost speed, consistency, and efficiency.

Pioneering the Power of Design Systems. At a time when the concept of a design system was still emerging, we proved its value through real-world impact. This graph compares two product cycles: “Knight” (the first-generation Echo Show), built without a design system, and “Bishop” (the second-generation Echo Show with a larger screen), developed using our newly established system. The results speak for themselves—627% more screens in a fraction of the time—demonstrating how scalable systems dramatically boost speed, consistency, and efficiency.

Early System Thinking: “Object-Oriented Design”. Before design systems became the industry norm, we adopted a systematic, object-oriented approach to design. This early visual shows one of the first component libraries we built, housing approved, reusable assets to drive consistency, scalability, and efficiency across all Amazon device UIs. This foundational work ultimately evolved into the centralized design system libraries we use today.

Early System Thinking: “Object-Oriented Design”. Before design systems became the industry norm, we adopted a systematic, object-oriented approach to design. This early visual shows one of the first component libraries we built, housing approved, reusable assets to drive consistency, scalability, and efficiency across all Amazon device UIs. This foundational work ultimately evolved into the centralized design system libraries we use today.

Fire Tablets Design System at Scale. A snapshot of the Pablo Launcher redesign and Vanilla Smart Home UI, showcasing the depth and precision of our tablet design system. The effort spanned over 400+ reusable components and 500+ production-ready screens, enabling consistent UI patterns across complex tablet use cases like Kindle, smart home, and device management. This work was key to driving design velocity and engineering alignment across Amazon’s Fire Tablets ecosystem.

Fire Tablets Design System at Scale. A snapshot of the Pablo Launcher redesign and Vanilla Smart Home UI, showcasing the depth and precision of our tablet design system. The effort spanned over 400+ reusable components and 500+ production-ready screens, enabling consistent UI patterns across complex tablet use cases like Kindle, smart home, and device management. This work was key to driving design velocity and engineering alignment across Amazon’s Fire Tablets ecosystem.

Fire TV Design System: Transition to InVision DSM. Migrated the Fire TV design system from Sketch libraries to InVision DSM, enabling centralized management of tokens, components, and patterns. This shift improved version control, enhanced cross-functional collaboration, and set the foundation for scalable design governance across the Fire TV ecosystem.

Fire TV Design System: Transition to InVision DSM. Migrated the Fire TV design system from Sketch libraries to InVision DSM, enabling centralized management of tokens, components, and patterns. This shift improved version control, enhanced cross-functional collaboration, and set the foundation for scalable design governance across the Fire TV ecosystem.

Fire TV Design System: Atomic Design at Scale. Adopted an Atomic Design methodology—organizing UI elements into atoms, molecules, organisms, templates, and pages—to build a modular, scalable system for Fire TV. This structure enabled systematic reuse, improved design-to-dev handoff, and powered faster iteration across the entire Fire TV product ecosystem.

Fire TV Design System: Atomic Design at Scale. Adopted an Atomic Design methodology—organizing UI elements into atoms, molecules, organisms, templates, and pages—to build a modular, scalable system for Fire TV. This structure enabled systematic reuse, improved design-to-dev handoff, and powered faster iteration across the entire Fire TV product ecosystem.

Multimodal Design System for Alexa Devices. Defined a unified multimodal design system spanning voice, touch, and visual inputs across Alexa-enabled surfaces. This documentation aligned cross-functional domains, Core UX, Smart Home, Communications, and Hestia, around consistent interaction models, grid systems, and visual treatments, ensuring a cohesive user experience across devices and contexts

Multimodal Design System for Alexa Devices. Defined a unified multimodal design system spanning voice, touch, and visual inputs across Alexa-enabled surfaces. This documentation aligned cross-functional domains, Core UX, Smart Home, Communications, and Hestia, around consistent interaction models, grid systems, and visual treatments, ensuring a cohesive user experience across devices and contexts

Alexa App – Precision Design Specifications. As part of the Bridge Team, we created pixel-perfect, implementation-ready specs for all Digital Devices Group (DDG) products. This example showcases our work on the Alexa app, including dark/light themes, Drive Mode, and confirmation flows. Every page carried the Bridge Team logo, which became a mark of official, approved design across Amazon Devices. Our documentation was trusted by engineers as the single source of truth, ensuring seamless, cross-platform execution.

Alexa App – Precision Design Specifications. As part of the Bridge Team, we created pixel-perfect, implementation-ready specs for all Digital Devices Group (DDG) products. This example showcases our work on the Alexa app, including dark/light themes, Drive Mode, and confirmation flows. Every page carried the Bridge Team logo, which became a mark of official, approved design across Amazon Devices. Our documentation was trusted by engineers as the single source of truth, ensuring seamless, cross-platform execution.

End-to-End Asset Production. The Bridge Team handled full-cycle asset production, including illustrations, icons, and Lottie animations, for Amazon Devices. All assets followed accessibility and localization standards, adhered to strict naming conventions, were performance-optimized, cut to all required sizes, version-controlled, stored in Git repositories, and delivered implementation-ready across platforms.

End-to-End Asset Production. The Bridge Team handled full-cycle asset production, including illustrations, icons, and Lottie animations, for Amazon Devices. All assets followed accessibility and localization standards, adhered to strict naming conventions, were performance-optimized, cut to all required sizes, version-controlled, stored in Git repositories, and delivered implementation-ready across platforms.

RTL Language Support – Rapid Turnaround Initiative. In response to an urgent launch requirement, the Bridge Team took full ownership of enabling Arabic and RTL support across all Alexa devices. We conducted a comprehensive audit of all icons and images, redesigned mirrored and culturally appropriate assets, and collaborated closely with engineering to implement a scalable technical solution. The entire initiative, from audit to shipping, was completed in under 3 months.

RTL Language Support – Rapid Turnaround Initiative. In response to an urgent launch requirement, the Bridge Team took full ownership of enabling Arabic and RTL support across all Alexa devices. We conducted a comprehensive audit of all icons and images, redesigned mirrored and culturally appropriate assets, and collaborated closely with engineering to implement a scalable technical solution. The entire initiative, from audit to shipping, was completed in under 3 months.

Visual QA – Alexa App Implementation Audit. The Visual QA team developed pixel-level image diff tools to identify and annotate layout discrepancies between design specs and production builds. Shown here are examples from the Alexa App, including Drive Mode, Group Calling, and Fitness UI. Each visual defect was logged as a Jira bug and tracked through resolution, ensuring high-fidelity execution across platforms.

Visual QA – Alexa App Implementation Audit. The Visual QA team developed pixel-level image diff tools to identify and annotate layout discrepancies between design specs and production builds. Shown here are examples from the Alexa App, including Drive Mode, Group Calling, and Fitness UI. Each visual defect was logged as a Jira bug and tracked through resolution, ensuring high-fidelity execution across platforms.