2026 Technical Product Manager Intern

WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible. 
About the Role
We are seeking a highly analytical and technically rigorous Technical Product Manager Intern to support autonomous driving product strategy, project approval governance, and resource allocation planning.
This role operates at the intersection of engineering execution and strategic decision-making. You will help structure how new projects are evaluated, prioritized, and resourced across multiple vehicle platforms and deployment regions.
This internship is ideal for candidates interested in technical product leadership in safety-critical, large-scale systems.

What You Will Do

1.Validation & Deployment Strategy

• Assist in deployment feasibility analysis across different cities
  
• Support validation and release decision frameworks
  
• Analyze test data and support measurable success criteria definition
  
• Help translate existing mileage-based statistical validation models into usable internal tools or interfaces
  
• Improve usability and workflow efficiency of validation-related methodologies
  

2.Project Approval & Evaluation Framework

• Support structuring the project intake and approval process
  
• Help define evaluation dimensions (e.g., roadmap alignment, ODD complexity, scalability, strategic value, revenue impact)
  
• Assist in building structured project evaluation templates
  
• Analyze trade-offs between exploratory, strategic, and revenue-driven projects
  
• Prepare executive-level summaries to support go / no-go decisions
  

3.Resource Allocation & Capacity Modeling

• Support development of structured resource allocation models (e.g., run vs growth buckets)
  
• Analyze engineering capacity across platforms and programs
  
• Assist in modeling effort allocation across vehicle generations and deployments
  
• Evaluate resource impact of new projects under constrained capacity
  
• Help quantify opportunity cost and prioritization implications
  

4.Product & Roadmap Structuring
Support PRD drafting for autonomy features Analyze scope trade-offs (safety vs efficiency vs scalability) Support multi-platform roadmap alignment analysis

What You’ll Gain

• • Hands-on experience working in a leading AI-driven autonomous systems company
    
  • Direct exposure to how AI technologies are developed, validated, and productized in real-world deployments
    
  • Practical understanding of resource management and prioritization in a fast-scaling deep-tech organization
    
  • Insight into how large-scale engineering programs are structured under real-world constraints
    
  • Mentorship in technical strategy and systems-level thinking
    
  
  
  

Qualifications Required

• • Pursuing a Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Applied Mathematics, Industrial Engineering, or related technical field
    
  • Strong analytical and structured thinking skills
    
  • Ability to decompose ambiguous problems into measurable dimensions
    
  • Strong written and communication skills in Mandarin.
    
  
  
  

Preferred

• • Exposure to product management, TPM, or technical strategy
    
  • Experience with data modeling (Excel / Python preferred)
    
  • Interest in autonomous driving, robotics, or large-scale systems
    
  • Familiarity with capacity planning is a plus