Lead the development and commercialization of L4 autonomous driving systems, managing product roadmaps, strategy, and verification processes while collaborating with engineering teams and stakeholders.
Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.
WeRide.ai is looking for a lead Technical Product Manager (PMT) for the development of L4 Autonomous Driving (AD) Systems and its global commercial deployment. This role reports directly to the company's senior leadership team. The level depends on the candidate's experience and qualification.
What you will do:
- Develop and enact product roadmap to bring fully autonomous driving technologies to market. Understand customer desires, business goals, operational constraints, regulatory requirements and technical feasibility to properly define product features and scope of engineering development, set priorities for AV engineering teams
- Develop insights from operation data, real-world performance and simulation to drive work prioritization, continuous improvement, and system robustness
- Develop strategies for new ODD expansion and fleet scale-up, balance user experience, operational efficiency and scalability with feature development timing and cost
- Develop Product Requirement Documents (PRDs) for system level AV features and behaviors, especially related to new ODD expansion and operation efficiency and scalability
- Own end-to-end delivery of AV features from feature design to validation by closely collaborating with engineering and systems teams
- Work with engineering tech leads to set up development priorities and quarterly plan for execution
- Support product verification & validation, safety case development, and regulatory approval processes
- Lead internal reviews and external discussions with customers and regulators, clearly communicate product features, capabilities and system performance boundaries, short to long term roadmaps, and risk management strategies
- Function as a lead individual contributor at the beginning, build up the PMT team as business needs grow
Requirements:
- 5+ years PMT experience, proven ability to break down complex systems into clearly defined, testable, and scalable product requirements
- Experience working on AV, Robotics, or products that utilize Machine Learning or AI, with direct involvement in architecture, development, validation, and regulatory compliance
- Experience balancing priorities across a complex set of requirements and constraints, structured and systems-level thinking with the ability to translate technical, regulatory, and user requirements into a coherent product roadmap
- Exposure to fleet operations and data feedback loops in AV or robotics industries
- Strong communication and stakeholder management skills, able to drive alignment across highly technical and non-technical audiences
- Bachelor's Degree or above in Engineering, Computer Science, or a related field
- Fluent Chinese (Mandarin) is a must
- Flexibility to work with teams in different time zones
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $171,000 - $232,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Top Skills
AI
Autonomous Driving
Machine Learning
Robotics
WeRide.ai San Jose, California, USA Office
2630 Orchard Pkwy, San Jose, CA, United States, 95134
Similar Jobs
.png)
Cloud • Enterprise Web • Internet of Things • Software
As a Senior Technical Product Manager, you'll define the product vision, collaborate with cross-functional teams, and manage the product lifecycle for manufacturing solutions.
Top Skills:
APIsData ModelingErpMesPlmSoftware EngineeringWeb Services
Financial Services
The Senior Technical Product Manager will drive product strategy and execution for internal platforms, collaborating with various teams to define requirements, validate production, and enhance client experiences.
Top Skills:
Agile DevelopmentAPIsAzureCloud Platforms (AwsDatabasesGcp)Software Architecture
Artificial Intelligence • Legal Tech
Lead product strategy for Eudia's AI application, focusing on user experience, workflow design, trust, and enterprise adoption in legal environments.
Top Skills:
AIEnterprise ApplicationWorkflow Design
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
