Technical Program Manager
US$125,500 – US$212,500 / yr base salary
Posted 4 Aug 2026
Advertised as “Staff Technical Program Manager”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | US$125,500 – US$212,500 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's or higher
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. As a Staff Technical Program Manager focused on the Autonomous Driving Training Data Lake, you will lead cross-functional programs that enable large-scale data collection, processing, governance, and delivery for autonomous-driving model development. You will work closely with data infrastructure, machine learning, simulation, vehicle engineering, annotation, and algorithm teams to ensure that high-quality training data is available reliably, efficiently, and at scale. You will work with best-in-class machine learning, software, data, and infrastructure engineers to build the foundation for XPENG’s autonomous-driving development lifecycle. Your work will directly improve the quality, velocity, reliability, and cost efficiency of the data used to train and validate mass-market autonomous-driving systems. Job Responsibilities:
- Define and manage the roadmap for the autonomous-driving training data lake, covering data collection, ingestion, processing, storage, curation, and delivery.
- Coordinate execution across data infrastructure, machine learning, annotation, simulation, and autonomous-driving algorithm teams.
- Establish and track KPIs for data quality, pipeline reliability, processing latency, dataset readiness, storage efficiency, and infrastructure cost.
- Drive programs for dataset generation, versioning, metadata management, lineage, and reproducibility.
- Identify technical risks and bottlenecks in data pipelines, infrastructure capacity, and training-data delivery, and lead cross-functional resolution.
- Improve engineering planning, agile development practices, dependency management, and operational processes across data platform teams.
Basic Qualifications:
- Bachelors or Masters in computer science or other related engineering field.
- 5 years + of technical program management experience in engineering or related fields.
- Experience leading complex cross-functional data, infrastructure, software, or machine learning programs.
- Strong understanding of large-scale data systems, cloud infrastructure, and data pipelines.
- Mandarin speaking is required.
- Excellent problem-solving skills.