Robotics · Physical AI · Product Leadership

I turn hard robotics technology into products people can deploy.

I’m Yong Qian, a product and operating leader with 20+ years in robotics, industrial systems, edge software, and AI. Most recently, I defined requirements, customer workflows, and delivery priorities for a humanoid robot program—work grounded in years of building companies, leading international teams, and solving problems on factory floors.

20+ yearsRobotics, automation, and product building
Field → founderDeployment, connected hardware, software, and AI
Humanoid + AIProduct definition, data loops, and deployment

What I bring to the leadership table

Direction

Product judgment at company level

I connect customer value, technical reality, industrial design, delivery risk, and commercial priorities. The result is a roadmap the company can explain and execute.

Translation

Humanoid strategy grounded in use

I turn hardware and AI capability into a clear first job, defined task boundaries, data needs, acceptance criteria, and a path from demonstration to deployment.

Execution

Field experience behind the decisions

I have commissioned, debugged, and supported robotic systems in production. That experience keeps product decisions tied to safety, reliability, service, and customer trust.

Recent work

JetX · Ended October 2026

Humanoid Robotics Product Manager

Defined product requirements, customer workflows, and delivery priorities; connected target use cases with robot capability, task boundaries, and acceptance expectations.

Spirit AI · 2025

Head of Products / Robotics Product Manager

Led product vision and roadmap work for humanoid robots, data-collector products, and the infrastructure needed to support them.

Istituto Marangoni · Current

Part-Time Tutor

Teaching at the intersection of AI and fashion, and fashion and robotics.

From the robot floor to company-level product leadership

01 · Field judgment

Robotics deployment and production delivery

More than a decade at Stäubli and Frimo built a practical understanding of safety, reliability, cycle time, commissioning, customer acceptance, and production pressure—the foundation for judging whether a robot can move beyond the demo.

See the field work →

02 · Company building

0-to-1 hardware, software, and AI products

Through JIEQI, OmniEdge, and DeepFashion, I worked across product definition, architecture, team building, commercialization, and international operations in connected hardware, open-source software, and generative AI.

See the products built →

03 · Product leadership

Humanoid robotics and Physical AI

At JetX, Spirit AI, and related projects, I translated customer scenarios, robot capability, AI readiness, data loops, task boundaries, and acceptance requirements into product roadmaps and delivery priorities.

See the Physical AI work →

This progression equips me to lead a specific robotics product and to operate at C-level across technology, product, teams, customers, and commercial outcomes.

Why this matters now

Humanoid robotics needs leaders who understand more than the demo.

The next stage of Physical AI will be won by teams that can connect AI, hardware, industrialization, customer workflow, field service, and economics. My career has moved through each of those layers—from robot service and automotive deployment to connected hardware, global software, applied AI, and humanoid product leadership.

Building a serious robotics or Physical AI business?

I’m open to C-level product and operating roles, board or strategic advisory work, and selected product leadership engagements.