2026 Technical Product Manager Intern

United States·San JoseInternentry

Product ManagementProduct ManagerTechnical Product Manager

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Quick Summary

Overview

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,

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Product ManagementProduct ManagerTechnical Product Manager

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.

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

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 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.