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.
& 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
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
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
& Roadmap Structuring
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
Pursuing a Bachelors or Masters 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.
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
$30 - $45 an hour
What Happens Next:
Well take a few weeks to review all applications. If wed like to move forward with you well reach out to arrange the next steps which may include a call with a recruiter and 3 interviews with your future colleagues to better inform our decision.
During the interview process we aim to learn more about your skills experiences and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that due to the high volume of applications we receive were unable to offer individual feedback during the interview process.
We recognize that interviewing for a new role is significant and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today!
At WeRide interns collaborate with industry leaders on impactful projects that drive meaningful results for the company. Youll apply your knowledge while gaining opportunities to expand your skill set. Our 12-week/ 3-month internship program begins in May or June 2026. Successful candidates must be available to work in the office five days a week. Interns will receive 1-on-1 mentorship hands-on training and engage in fun team-building activities as well as interactive workshops enhancing both professional and personal growth.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Intern
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