2026 Technical Product Manager Intern position at WeRide.| United States Of America

_2026-04-15 bot

WeRide 2026 Technical Product Manager Intern

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San Jose, CA....United States Of America

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<p>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. </p><p><br></p><p> </p><div data-lark-html-role="root"> <div data-eleid="10"><strong><span data-eleid="11">About the Role</span></strong><p></p> <div data-eleid="12"> <p></p> <div data-eleid="13"><span data-eleid="14">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.</span><p></p> <div data-eleid="15"> <p></p> <div data-eleid="16"><span data-eleid="17">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.</span><p></p> <div data-eleid="18"> <p></p> <div data-eleid="19"><span data-eleid="20">This internship is ideal for candidates interested in technical product leadership in safety-critical, large-scale systems.</span><p></p> <p></p> <p></p>\n<p></p><p><br></p><b>What You Will Do</b><div> <div style="font-weight: bold;"><strong><span data-eleid="26">1.Validation </span><span data-eleid="26">& Deployment Strategy</span></strong></div> <ul data-eleid="27"> <li data-eleid="28"> <div><span data-eleid="29">Assist in deployment feasibility analysis across different cities</span></div> </li> <li data-eleid="30"> <div><span data-eleid="31">Support validation and release decision frameworks</span></div> </li> <li data-eleid="32"> <div><span data-eleid="33">Analyze test data and support measurable success criteria definition</span></div> </li> <li data-eleid="34"> <div><span data-eleid="35">Help translate existing mileage-based statistical validation models into usable internal tools or interfaces</span></div> </li> <li data-eleid="36"> <div><span data-eleid="37">Improve usability and workflow efficiency of validation-related methodologies</span></div> </li> </ul> <div data-eleid="38"> </div> <div><strong><span data-eleid="41">2.Project Approval & Evaluation Framework</span></strong></div> <ul data-eleid="42"> <li data-eleid="43"> <div><span data-eleid="44">Support structuring the project intake and approval process</span></div> </li> <li data-eleid="45"> <div><span data-eleid="46">Help define evaluation dimensions (e.g., roadmap alignment, ODD complexity, scalability, strategic value, revenue impact)</span></div> </li> <li data-eleid="47"> <div><span data-eleid="48">Assist in building structured project evaluation templates</span></div> </li> <li data-eleid="49"> <div><span data-eleid="50">Analyze trade-offs between exploratory, strategic, and revenue-driven projects</span></div> </li> <li data-eleid="51"> <div><span data-eleid="52">Prepare executive-level summaries to support go / no-go decisions</span></div> </li> </ul> <div data-eleid="53"> </div> <div><strong><span data-eleid="56">3.Resource Allocation & Capacity Modeling</span></strong></div> <ul data-eleid="57"> <li data-eleid="58"> <div><span data-eleid="59">Support development of structured resource allocation models (e.g., run vs growth buckets)</span></div> </li> <li data-eleid="60"> <div><span data-eleid="61">Analyze engineering capacity across platforms and programs</span></div> </li> <li data-eleid="62"> <div><span data-eleid="63">Assist in modeling effort allocation across vehicle generations and deployments</span></div> </li> <li data-eleid="64"> <div><span data-eleid="65">Evaluate resource impact of new projects under constrained capacity</span></div> </li> <li data-eleid="66"> <div><span data-eleid="67">Help quantify opportunity cost and prioritization implications</span></div> </li> </ul> <div><strong><span data-eleid="71">4.Product & Roadmap Structuring</span></strong></div> <ul> <li><span data-eleid="74">Support PRD drafting for autonomy features</span></li> <li><span data-eleid="76">Analyze scope trade-offs (safety vs efficiency vs scalability)</span></li> <li><span data-eleid="78">Support multi-platform roadmap alignment analysis</span></li> </ul> </div><p><br></p><b>What You’ll Gain</b><div> <div data-lark-html-role="root"> <ul data-eleid="107"> <li data-eleid="108"> <div><span data-eleid="109">Hands-on experience working in a leading AI-driven autonomous systems company</span></div> </li> <li data-eleid="110"> <div><span data-eleid="111">Direct exposure to how AI technologies are developed, validated, and productized in real-world deployments</span></div> </li> <li data-eleid="112"> <div><span data-eleid="113">Practical understanding of resource management and prioritization in a fast-scaling deep-tech organization</span></div> </li> <li data-eleid="114"> <div><span data-eleid="115">Insight into how large-scale engineering programs are structured under real-world constraints</span></div> </li> <li data-eleid="116"> <div><span data-eleid="117">Mentorship in technical strategy and systems-level thinking</span></div> </li> </ul> </div> </div><p><br></p><b>Qualifications Required</b><div> <div data-lark-html-role="root"> <ul data-eleid="84"> <li data-eleid="85"> <div><span data-eleid="86">Pursuing a Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Applied Mathematics, Industrial Engineering, or related technical field</span></div> </li> <li data-eleid="87"> <div><span data-eleid="88">Strong analytical and structured thinking skills</span></div> </li> <li data-eleid="89"> <div><span data-eleid="90">Ability to decompose ambiguous problems into measurable dimensions</span></div> </li> <li data-eleid="91"> <div><span data-eleid="92">Strong written and communication skills in Mandarin. </span></div> </li> </ul> </div> </div><p><br></p><b>Preferred</b><div> <div data-lark-html-role="root"> <ul data-eleid="95"> <li data-eleid="96"> <div><span data-eleid="97">Exposure to product management, TPM, or technical strategy</span></div> </li> <li data-eleid="98"> <div><span data-eleid="99">Experience with data modeling (Excel / Python preferred)</span></div> </li> <li data-eleid="100"> <div><span data-eleid="101">Interest in autonomous driving, robotics, or large-scale systems</span></div> </li> <li data-eleid="102"> <div><span data-eleid="103">Familiarity with capacity planning is a plus</span></div> </li> </ul> </div> </div><p><br></p><p></p>\n<div>$30 - $45 an hour</div>\n<p> </p><p><strong>What Happens Next:</strong></p> <p> </p> <p>We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll 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.</p> <p> </p> <p>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, we’re unable to offer individual feedback during the interview process.</p> <p> </p> <p>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!</p> <p></p><p><br></p><p>At <a href="https://www.weride.ai/">WeRide</a>, interns collaborate with industry leaders on impactful projects that drive meaningful results for the company. You'll 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.</p><p><br></p></div></div></div></div></div></div></div></div>

2026 Technical Product Manager Intern job opportunity at WeRide.

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