Sr. Product Designer · Intuit · San Diego, CA

Designing where human meets machine.

I build AI-powered tools that honor the expertise of the people who use them, from enterprise platforms to open-source public infrastructure.

Daniel
Baek.
Designer &
Co-creator.

I design through an AI-augmented workflow that accelerates exploration without compromising craft. I use modern tooling to move from problem framing to interactive prototypes quickly, then apply design judgment to shape the details that make products usable, trusted, and differentiated.

My focus is pushing industry-leading design techniques with the new technology now available: rapid concept branching, live co-creation with domain experts, and tighter build loops between design and engineering. The result is systems-level UX that lands in production faster and with higher quality.

Currently

Sr. Product Designer
Intuit Innovation

Focus

AI Systems
Human-in-the-Loop UX

Previously

Amazon

Approach

AI-augmented design
System-level execution

Selected Work

04 Projects
ATLAS · INTUIT INNOVATION Innovation · 2024–Present

01

Atlas
Behavior Learning

Intuit · Innovation Team

A behavior learning capability that captures screen and transcript data to create reusable skills, enabling domain experts to encode their expertise and deploy it across Intuit's internal AI platform at scale.

Lead Product Designer

LeadDesigner on project
AI‑FirstInteraction model
View Project
ENTITY · LABEL SENTIMENT EITL · INTUIT Human-in-the-Loop · 2023–Present

02

Expert in the
Loop

Intuit · EITL Platform

A human-in-the-loop evaluation and training ecosystem where domain experts act as labelers and annotators to generate high-quality datasets for internal AI models. I designed expert workflows and tooling that support data annotation, qualitative labeling, and evaluation, translating human judgment into structured, reliable training signal.

Product Designer · Expert Workflow Systems

HITLEcosystem design
Cross-team partnerships

TBD

LIVE TRANSCRIPT Recruiter Candidate RESPONSE GRADING 87 Clarity Depth Fit ↳ Suggested follow-up AI ASSIST Ask about conflict resolution Probe on scope & ownership Quantify the outcome ✦ Ask ContxtIQ anything… CONTXTIQ · STARTUP Startup · 2025–Present

03

ContxtIQ
Live Screening
Copilot

ContxtIQ · Startup

A desktop copilot that supports recruiters during live screening calls for script-based roles. Real-time AI grades candidate responses, surfaces contextual follow-ups, and answers questions on the fly — turning structured interviews into adaptive, evidence-backed conversations.

Chief Experience Officer · Full experience lead

LiveResponse grading
In-contextAI conversation
0→1End-to-end experience
View Project
EV-2024-001 EV-2024-002 WCAG 2.1 Compliant Accessibility annotations · Law enforcement UX · Global agencies DEA · AMAZON Open Source · Global Law Enforcement

04

Digital
Evidence
Archive

Amazon

Led design of an open-source application used by global police agencies to store and manage digital evidence, from initial research through implementation. Produced wireframes, accessibility annotations, personas, and journey maps in close collaboration with engineering, TPMs, and domain experts in research and accessibility.

Lead Designer · Research to Delivery

GlobalPolice agency adoption
OpenSource release
WCAGAccessibility compliant
View Project

Let's
work
together.


Daniel.j.baek5@gmail.com

I'm always open to conversations about meaningful design work, especially at the intersection of AI, enterprise systems, and the humans who use them.