Product manager

SEER Robotics Europe GmbH.

Location

China

Vacancy for

Human

Employment type

Full-time

Necessary education

Not matter

Employer provided salary

0¥ per year

Posted at 17.12.2025

Description

Requirements

We are hiring an experienced Product Manager to lead end-to-end product planning and UX strategy for intelligent hardware, apps, and system platforms. This role offers exciting careers growth for professionals who thrive at the intersection of product, design, and cutting-edge robotics technology. As part of our expanding job openings, you will collaborate with cross-functional teams to deliver scalable, user-centric products from concept to mass production. These employment opportunities are ideal for candidates who combine strong product thinking with UI/UX expertise and data-driven decision making.
Key requirements include:

1. Universal ability:

Solid understanding, analysis, summary and integration skills, excellent structured expression and writing, good at interdisciplinary communication.

Outstanding aesthetics and taste, with a grasp of typography, retention, rhythm, and dynamic effects; with the ability to simplify and visualize complex systems.

 

2. UI/UX special edition (required):

Proficient in information architecture, interaction design, usefulness testing, and design system construction; able to independently complete the whole process from insight to prototype to specification.

Commonly used tools: Figma/Sketch, Axure/ProtoPie/Principle, FigJam/Miro, Keynote/Slides.

 

3. Product and technical understanding:

3 years or more of product manager experience (including more than 1 year of UI/UX or interaction background), there are cases from 0 to 1/scale.

Understand the basics of physical intelligence/robotics: sensor and perception, motion/grasping, navigation, ROS/ROS 2, edge/cloud collaboration, and multi-modal interaction.

Understand the application of large model/multi-modal model in HRI (VLM/ASR/TTS/intent understanding/Agent), with Prompt design and data annotation

Normative ability.

Have a basic understanding of mobile terminal (iOS/Android), embedded Linux, Bluetooth/Wi-Fi/OTA, privacy and data compliance.

 

4. Project and data capabilities:

Proficient in using Jira/Concept/Confluence, Git/test platform, etc.; Able to build indicators and dashboards for A/B and observability analysis.

Possess basic data analysis capabilities (SQL/Spreadsheet/Python, etc.), and can transform insights into landing requirements.

 

5. Communication and language:

Fluent in written and oral expression in Chinese and English, good at presentation and narrative; able to report on external plans and communicate with customers.

 

Extra points

Experience in mass production and certification of robotics/intelligent hardware (safety regulations/EMC/reliability).

Have experience in building and large-scale reuse of design systems from 0, or landing cases of complex dynamics and accessibility.

Have a background in industrial design/human factor engineering/cognitive psychology/service design.

He has contributed to the open source community, papers/patents, won awards in top conferences/competitions, and experience in technical preaching.

 

Work mode and output

Standard PRD template (problem → goal→ portrait→scene →process→prototype → API/protocol → acceptance criteria → buried points and indicators).

Information architecture diagram, task flow chart, interactive prototype and component specification; design review and availability test report.

Version roadmap, iteration plan, risk list and review documents; external publicity materials (Pitch, whitepaper, case collection).



Check out the full job listings here

Needed key skills

  • Analytical Skills
  • Collaboration
  • Communication
  • Critical Thinking
  • Data Analytics
  • Presentation
  • Product roadmaps
  • Project management
  • Strategic planning
  • Usability
  • User experience design
  • Wireframing

Bonuses

1.Direct influence on next-generation intelligent and robotic products from 0→1 to large-scale deployment. 2.Close collaboration with multidisciplinary teams across design, algorithms, hardware, and software. 3.Strong career development path with exposure to advanced UX systems, data analytics, and AI-driven products.

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