Product Experience Leader · AI-Native Enterprise Design · PANW · AWS · Docker

I design AI‑native
enterprise platforms
that drive adoption,
trust & growth.

Senior UX leader shaping how engineers, operators, and security teams interact with cloud infrastructure, AI-native workflows, and enterprise platforms — across Palo Alto Networks, AWS, and Docker.

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10+
Years leading UX
4
Enterprise platform case studies
2
Acquired orgs
✦Customer Obsession
✦AI-Native UX
✦Platform Architecture
✦Developer Experience
✦Systems Thinking
✦Growth Design
✦GTM Enablement
✦ECS Observability
✦Working Backwards
✦UX Tenets
✦Bias for Action
✦Enterprise Strategy
✦ECS Anywhere
✦Kubernetes UX
✦Org Frameworks
✦PRFAQ Design
✦Customer Obsession
✦AI-Native UX
✦Platform Architecture
✦Developer Experience
✦Systems Thinking
✦Growth Design
✦GTM Enablement
✦ECS Observability
✦Working Backwards
✦UX Tenets
✦Bias for Action
✦Enterprise Strategy
✦ECS Anywhere
✦Kubernetes UX
✦Org Frameworks
✦PRFAQ Design

The Through-Line

Across Palo Alto Networks, AWS, and Docker, my work has focused on one pattern: taking fragmented enterprise workflows and turning them into trusted, measurable platform experiences. I do this by combining customer research, information architecture, AI-native interaction models, instrumentation, and design-system infrastructure — so teams move faster and customers make better decisions.

Adoption

ECS Anywhere 37.9% WoW growth · 9× console visitor growth · v1→v2 migration strategy · 15–20 customer panels informing roadmap

Velocity

Design system delivery: 6 months → under 1 week · 24× cycle compression · 300 engineering hours reclaimed per update · 0 visual drift events

Revenue & GTM

Connected product funnels, API usage, and RevOps context into a $275M+ GTM expansion dashboard · Docker onboarding: directional compression from 12–18 month cycles toward 3–4 week guided proof-of-concept

What Sets Me Apart

Not just a designer.
A design strategist
who ships.

I operate at the intersection of UX, product strategy, and business growth — shaping platform roadmaps, launching products, and building the design operating systems that scale teams.

⬡

AI-Native Product Design

I design for human-AI collaboration — building trust, surfacing progressive intelligence, and making automation feel earned. Every AI surface I design centers on explainability, control, and confidence-building UX.

◈

Platform & Systems Thinking

I architect cross-product experiences that scale. I design ecosystems — how data flows, how roles interact, how a single design decision ripples across an entire enterprise platform serving thousands of engineers.

◎

GTM & Growth UX

I've collapsed 12-month enterprise sales cycles to weeks. I understand UX as a growth lever — designing adoption journeys, onboarding architectures, and expansion moments that convert trial into commitment.

⊞

Enterprise Complexity → Clarity

Kubernetes, ECS task scheduling, service mesh config, IAM permissions — I've redesigned all of it into interfaces that respect engineers' intelligence while systematically eliminating decision fatigue.

⊙

Research-Led Strategy

I run structured discovery workshops, map mental models, and facilitate PRFAQ alignment — transforming stakeholder noise into sharp, evidence-backed design directions that PMs, engineers, and execs all trust.

◇

Design Leadership at Scale

I've built UX operating systems for 11 teams, defined tenets frameworks adopted org-wide, led solo as Principal UXD, and shaped roadmaps at S-team review level. I influence strategy — not just deliverables.

Selected Work

Four case studies.
Real impact.

Selected case studies showing how I turn complex enterprise systems into clearer, trusted, measurable product experiences.

01 — AI-Native Enterprise Design Strategy

Palo Alto Networks — Architecting an AI-Native Security Operations Ecosystem

Led PANW's AI-native platform strategy across trust governance, agentic remediation, and Better Together GTM funnels — turning fragmented NGFW, Prisma Access, and Next-Gen Trust Security surfaces into one unified operating model. Mapped Pendo behavioral funnels to a $275M+ Better Together expansion-opportunity model. Repositioned design as operational architecture across 72 MFEs and 50+ designers.

AI-Native UXTrust Governance Design SystemsOperational Intelligence $275M+ GTM Signal6mo → <1wk
Palo Alto Networks · Sr. UX Director · AI-Native Design Strategy ↗
Palo Alto Networks — Next-Gen Trust Security
🛡️ PANW
PANW Design System — Color & Typography
⬢ Design Systems
02 — Token Architecture · Design Systems · AI-Orchestrated Pipeline

Architecting the Next-Gen UI Delivery Pipeline

Led the architectural overhaul of PANW's design tokens into a deterministic 4-Layer Matrix (Primitive → Semantic → Trait → Component) wired to an AI-assisted compilation pipeline powered by Claude Code and a Storybook MCP server. Compressed global UI delivery across 72 micro front-ends from 6 months to under 1 week — a 24× acceleration. Established a token-to-code workflow where designers make governed visual-system changes and engineering receives validated, repo-ready outputs with zero drift.

Token ArchitectureMCP Pipeline 4-Layer MatrixClaude Code 24× Cycle Compression300 hrs / update reclaimed
Palo Alto Networks · L7 Staff/Principal · Design Systems · 72 MFEs ↗
Amazon ECS Anywhere — Run ECS in your own data center (re:Invent 2020 launch)
☁️ AWS ECS
03 — Cloud Platform + Observability Design

AWS ECS — Redesigning Infrastructure Visibility at Scale

Led ECS console modernization across v1→v2 migration, two S-Tier launches, monthly customer panels, and the future-state Deployments experience. My mandate: help leadership answer which workflows were ready to migrate, where customers dropped off, and what the application-centered console should become. Delivered 9× visitor growth, 37.9% WoW growth at ECS Anywhere launch, 66% friction reduction, and 58K developer hours saved.

ECS ObservabilityWorking Backwards Information ArchitectureOAM Model 37.9% WoW GrowthPRFAQ Design
Amazon Web Services · 2021–2024 · ECS Platform ↗
Docker — whale & containers (underwater scene)
🐳 Project Armada
04 — Enterprise Platform + GTM Design

Project Armada — Enterprise UX for Docker's Kubernetes Platform

Led UX across Docker's enterprise Kubernetes and service-mesh platform. Redesigned the Universal Control Plane authorization model, compressed Istio onboarding from a 12–18 month evaluation cycle toward 3–4 week guided proof-of-concept, and built the UI pattern system used across Docker Enterprise. The platform UX strengthened Docker Enterprise before the 2019 Mirantis acquisition.

Customer ObsessionBias for Action Journey MappingDesign System GTM UXKubernetes
Docker Inc. · 2017–2019 · Enterprise Platform ↗

Design Philosophy

How I design
AI-native products.

I use these operating frameworks for every product decision.

01

Human + AI Collaboration

I design interfaces where the human is always in control, AI surfaces options, humans make decisions.

02

Progressive Intelligence

I design feedback loops where user behavior informs AI behavior, creating experiences that feel increasingly tailored without requiring explicit configuration.

03

Explainable AI UX

I design AI systems where the reasoning is visible, not hidden behind a black box.

04

Automation Control

I design systems where users can inspect, override, and tune AI behavior, because control is the foundation of trust, especially in high-stakes infrastructure contexts.

05

Trust Architecture

Trust is a design material. I map trust-building moments across the entire user journey — identifying where anxiety peaks, where confidence collapses, and designing interventions that shift the emotional trajectory.

06

AI Orchestration UX

Multi-agent systems need a conductor. I design orchestration layers that make complex AI pipelines comprehensible — showing state, surfacing conflicts, and providing recovery paths when automation fails.

07

Guided Optimization

The best AI UX is proactive without being pushy. I design guided optimization experiences — like ECS Cluster's AI-driven workload recommendations — that surface the right insight at exactly the right moment.

08

Failure-Mode Design

AI fails. I design for it. Every AI-powered surface I create has explicit failure states, graceful degradation paths, and clear recovery mechanisms — because a well-designed failure builds more trust than a hidden one.

Measured Impact

Design as a
business outcome.

3–4
wks

Onboarding Cycle Compressed

Reduced Docker's Istio enterprise onboarding from 12–18 months to 3–4 weeks through redesigned journeys and self-serve UX patterns — directly accelerating sales velocity.

37.9%

Week-over-Week Growth

ECS Anywhere Tier 1 launch achieved 37.9% WoW growth. Led the console CX strategy that maintained competitive edge for non-internet-connected customer segments.

9

Frameworks Built for 11 Teams

As solo Principal UXD, built 9 UX operating frameworks — tenets, risk registers, Working Backwards process, sprint metrics — adopted across 11 teams in business and UXD org.

500+

Customers Unblocked

Solved the ECS DescribeTargetHealth API throttling issue blocking 500+ enterprise customers from adopting the microservice paradigm at scale.

~20%

Engineering Estimate Improvement

Designed collaboration mechanisms and hypothesis-testing frameworks that improved engineering estimation accuracy by approximately 20% during Tier 1 launches.

$275M+

Expansion Signal Model

Mapped product funnels, API usage patterns, and RevOps account context into a GTM dashboard for evidence-backed expansion prioritization — connecting UX instrumentation to revenue strategy.

Let's Connect

Let's build
something
worth using.

Open to Director, Head of UX, and Principal Design roles at AI-native companies, enterprise platforms, and developer infrastructure. Based in Pleasanton, CA.

✦ Get in Touch
Emailruchita.rathi@gmail.com ↗ LinkedInConnect ↗ RésuméView ↗ PANW Case StudyView ↗ Design Systems · Token PipelineView ↗ AWS ECS Case StudyView ↗ Docker Case StudyView ↗