Lina Dong
AI Product Designer
14 years in product design. 3+ years shipping AI-native products at scale. Based in Beijing — overnight turnaround for US teams.
Available for freelance — Q3 2026

What I do

I design AI-native products — from generative interfaces and multi-agent workflows to the moments where AI fails, surprises, or needs to explain itself. My focus is on making AI capability feel legible, trustworthy, and interruptible to real users.

Problems I work on: capability surfacing, agent legibility, in-flight control, repair UX, streaming and failure states, autonomy gradients, memory UX, and human-AI workflow design.

I've shipped these in production — not as concepts. At Mootion I led design for a multi-agent video generation product used by 2M+ creators across 50+ countries.

Selected Work

Mootion — Case 2 · Coming soon
Head of Design · 2022–2025 · AI-native video generation
Case study in progress.
Mootion — Case 3 · Coming soon
Head of Design · 2022–2025 · AI-native video generation
Case study in progress.
Own Tool — In progress
Independent · 2026 · AI tool design + build
Designing and shipping a self-built AI product — from zero.

Design capabilities

AI product design Agentic UX Human-AI interaction Multi-agent workflow UI Streaming & failure UX Capability surfacing Design systems 0→1 product design Design leadership Figma Framer Prototyping

Experience

Head of Design — Mootion.com
2022 – 2025 · AI-native generative video platform · 7-person UED team
UED Lead — Alibaba Health
Healthcare product design · Team lead
First Designer — Adobe China R&D
First full-time designer in the Beijing R&D center
Co-founder — Beijing 3-Farmer Tech (天鲜郡)
Product design & brand from zero

Education

Central Academy of Fine Arts (CAFA / 中央美术学院)
Digital Media · Interaction Design

Who I work with

Seed to Series B AI startups that ship real products — especially teams building agents, copilots, generative tools, or workflows where users and AI share control. I work well as a solo design partner or embedded with a small team.

APAC timezone (UTC+8, Beijing). Overnight turnaround for US-based teams. Fluent in English, native Chinese.


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