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PROFILE // 2026SAN FRANCISCO, CA

AI ProductDesigner forComplex Systems

Staff-level product designer with 16+ years building tools people trust. At Atlassian, I design AI usage, metering, explainable customer intelligence, design systems, and agentic workflows for enterprise-scale products.

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16+
YRS EXPERIENCE
120+
TEAMS · DATA VIZ
1.4K
MAU · AI INTEL
01SELECTED CASE STUDIES
9 STUDIES · 7 AVAILABLE
A PORTFOLIO OF PRODUCT SYSTEMS

How I turn complex systems into products people can trust.

These case studies cover AI intelligence, platform infrastructure, and data products—from early product definition through systems that now scale across Atlassian.

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SHOWING 9 OF 9 CASE STUDIES
CS-000Agentic Design Tooling — Turning design standards into AI-assisted review loops for Figma, MCP-style context, and human-in-the-loop craftUNDER DEVELOPMENT
CS-000AI Usage-Based Pricing — From token anxiety to billing trust — making AI consumption legibleUNDER DEVELOPMENT
CS-001Sales 360 — Unified sales intelligence — from zero to org-wide adoptionExplainable AI for GTM workflows: role-aware intelligence, account health UX, pre-call summaries, and adoption driven by real utility.SUMMARY · FULL ON REQUESTCS-002Customer 360 — AI-powered customer intelligence — from reactive support to proactive successAI explainability and ambient intelligence: churn signals, recommended actions, federated data, privacy controls, and graceful degradation.SUMMARY · FULL ON REQUESTCS-003Platform Dashboards — The shared dashboard canvas powering visualizations across Atlassian's productsPlatform infrastructure for visualization: federated data, reusable chart containers, multiplayer editing, permissions, accessibility, and responsive canvas behavior.SUMMARY · FULL ON REQUESTCS-004Data Visualization at Atlassian — From side project to Atlassian's future-facing chart languageDesign infrastructure for trust: accessible chart components, official ADS guidance, Forge UI patterns, and the foundation behind Atlassian's future AI-era visualizations.AVAILABLECS-005Atlassian Data Lake — Unifying Atlassian's data architecture — designing the experience layerHuman-centered data infrastructure: schema comprehension, source configuration, federation, and cross-product reporting foundations.SUMMARY · FULL ON REQUESTCS-006Atlassian Analytics — From acquisition to Enterprise Cloud driverTrustworthy analytics at enterprise scale: canvas design, chart builder UX, accessible data visualization, and measurable usability gains.SUMMARY · FULL ON REQUESTCS-007Gitalytics → GitHub Insights — From zero-to-one startup to an analytics product inside GitHubThe full arc from hand-drawn concepts and a zero-to-one product to GitHub-native dashboards, templates, and reporting workflows.AVAILABLE
02ABOUT
TECHNICAL SPECIFICATION

Design for
AI-driven products,
built to be used.

I'm a product designer focused on the messy, high-stakes surfaces of AI-native and enterprise software: pricing and metering, explainable intelligence, design systems, and the tooling teams use to ship. Sixteen-plus years across Atlassian, GitHub (Gitalytics), and Wizeline.

Accessibility isn't a checklist for me; it's a quality bar. I treat WCAG AA as the floor and design systems as the mechanism that makes good defaults unavoidable. Lately I've been building agentic design tooling — Figma MCP, Claude Code, Replit Agent Skills — to compress the distance between intent and shipped UI without losing human agency, review, or craft.

CLASSIFICATIONAI PRODUCT DESIGN · COMPLEX SYSTEMS
SPECIALIZATIONAI explainability · Human control · Usage-based pricing UX · Agentic workflows · Enterprise trust
TOOLCHAINFigma MCP · Figma Agents · Claude Code · Codex · Replit Agent · Rovo Dev · Claude Agent SDK
EXPERIENCE16+ years · Atlassian, GitHub (Gitalytics), Wizeline
CURRENT R&DMCP-powered design workflows · AI critique loops · Design-to-code automation · Agent handoff patterns
TARGET DOMAINAI-native products · Developer tools · Design infrastructure · Enterprise SaaS
AI pricing UX in process across the platformUBP / TOKENS
AI customer intelligence platform1.4K MAU
Design system foundations adopted broadly75+ TEAMS
Data visualization library spread organically120+ TEAMS
Developer analytics product acquiredGITHUB
Accessibility treated as product quality barWCAG AA+
02.AAI PRODUCT DESIGN THESIS
INTERACTION CONTRACTS · HUMAN CONTROL

The hard part of AI product design is not only the model. It is the interaction contract: what the system knows, what it can explain, when it should act, when it should ask, and how people stay in control when software starts behaving less like a tool and more like a collaborator.

Explainability before persuasionControls before automationEvidence before confidenceSystems that degrade gracefully
03CONTACT
RESPONSE <24H

Let's build something worth using.

I'm especially interested in designing AI products that move people from intent to outcome while preserving agency, clarity, and trust.

RESUME / PDFDownload one-page resumeEMAILthedamianhdez@gmail.comLINKEDINlinkedin.com/in/damianhdezLET'S CHATView on Calendly
ASCII-style composite of agave fields in Jalisco and the Golden Gate Bridge.
Born and raised in Guadalajara, changing the world from San Francisco.