United States onlyWeRide is a leading, commercial‑stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all‑round 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 internship is ideal for candidates interested in technical product leadership in safety‑critical, large‑scale systems.
What You Will Do
- Validation & Deployment Strategy: assist in deployment feasibility analysis across different cities, support validation and release decision frameworks, analyse 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.
- Project Approval & Evaluation Framework: support structuring the project intake and approval process, define evaluation dimensions (roadmap alignment, ODD complexity, scalability, strategic value, revenue impact), assist in building structured project evaluation templates, analyse trade‑offs between exploratory, strategic, and revenue‑driven projects, prepare executive‑level summaries to support go / no‑go decisions.
- Resource Allocation & Capacity Modeling: support development of structured resource allocation models (run vs growth buckets), analyse engineering capacity across platforms and programmes, assist in modelling effort allocation across vehicle generations and deployments, evaluate resource impact of new projects under constrained capacity, help quantify opportunity cost and prioritisation implications.
- Product & Roadmap Structuring: support PRD drafting for autonomy features, analyse 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 productised in real‑world deployments.
- Practical understanding of resource management and prioritisation in a fast‑scaling deep‑tech organisation.
- Insight into how large‑scale engineering programmes 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 a 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 modelling (Excel / Python preferred).
- Interest in autonomous driving, robotics, or large‑scale systems.
- Familiarity with capacity planning is a plus.
Internship Details
The 12‑week / 3‑month internship programme 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 participate in team‑building activities and interactive workshops to enhance both professional and personal growth.
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