Technical Product Manager, Data Infrastructure
at Lightwheel · 101-250 employees
Equity · $147.2M · Jun 2026
- Employment
- Full Time
- Location
- Mountain View
- Posted
- 5d ago
pythonawsgcpkubernetes
at Lightwheel · 101-250 employees
Lightwheel (Guanglun) builds data and simulation infrastructure for physical AI, covering training, evaluation, and deployment feedback loops.
ABOUT THE ROLE We are looking for a Technical Product Manager, Data Infrastructure to own strategic customer data deliveries and help build Lightwheel’s Data Delivery Platform into scalable, reusable infrastructure. RESPONSIBILITIES - Own Data Platform — Define and evolve data schemas, validation, adapters, conversion, cloud transfer, APIs/SDKs, observability, and cost optimization. - Drive Customer Delivery — Translate customer requirements into technical specifications, acceptance criteria, and delivery plans; own programs end-to-end through customer acceptance. - Scale Data Operations — Build systems and processes capable of supporting 100K–1M+ data-hour programs with predictable throughput, reliability, and cost. - Solve Complex Technical Problems — Identify and resolve bottlenecks across compute, storage, networking, data pipelines, APIs, and customer ingestion. - Build Scalable Processes — Standardize delivery workflows, quality gates, versioning, and change management to make customer onboarding repeatable and scalable. - Lead Cross-Functional Execution — Work closely with Engineering, Data Operations, Infrastructure, and customers to drive technical delivery and continuously improve the platform. QUALIFICATIONS - 3+ years of experience in software engineering, data infrastructure, distributed systems, ML/robotics infrastructure, or customer engineering. - Strong hands-on engineering background with Python, APIs/SDKs, AWS/GCP, Kubernetes, and data pipelines. - Experience building or operating production data platforms or large-scale data pipelines. - Strong problem-solving skills with the ability to diagnose bottlenecks across compute, storage, network, and APIs. - Experience working directly with technical customers and leading cross-functional projects. - Fluent in English and Mandarin. PREFERRED QUALIFICATIONS - Experience in robotics, autonomous driving, embodied AI, or Physical AI. - Experience with large-scale video, sensor, multimodal, or ML training datasets. - Familiarity with LeRobot, MCAP, ROS bags, TB/PB-scale data, or cloud data transfer. - Experience in forward-deployed engineering, enterprise data integration, or building infrastructure functions from the ground up.