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# Staff Technical Program Manager

- **Company:** XPeng Motors
- **Location:** Santa Clara, United States
- **Experience:** Expert
- **Salary:** $125,580.0 - $212,520.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Agile Methodology, Big Data, Cloud Computing, Data Infrastructure, Data Systems, Distributed Data Store, Machine Learning, Meta-Data Management, Software Engineering, Management of Software Versions, Parquet, Apache Spark, Data Lakes, Kubernetes, Information Technology, Apache Kafka, Data Management, Data Delivery, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/staff-technical-program-manager-xpeng-motors-9704727

## About the Role

* 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.
 * Strong understanding of large-scale data systems, cloud infrastructure, and data pipelines.
 * Experience in establishing strong software development processes., * Experience with autonomous-driving data platforms, machine learning infrastructure, or large-scale training-data systems.
 * Experience managing large-scale data lakes, distributed data pipelines, or cloud infrastructure programs.
 * Familiarity with data technologies such as object storage, Spark, Ray, Kafka, Iceberg, Parquet, Kubernetes, or similar systems.
 * Understanding of machine learning data workflows, including data curation, annotation, training, evaluation, and closed-loop improvement.
 * Experience managing complex cross-functional programs across multiple teams, locations, or time zones.

## Description

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., * 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.


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