Technical Product Manager, Data Infrastructure

Lightwheel Limited; Mountain View (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Lightwheel Limited is seeking a Technical Product Manager, Data Infrastructure to own the data delivery platform and drive scalable data infrastructure. You will define data schemas, APIs, and transfer mechanisms, and partner with engineering and customers to deliver reliable data services.

The role requires hands-on engineering background and experience with Python, cloud platforms, containers, and large-scale data pipelines. Fluency in English and Mandarin is preferred.

Qualifications

• 3+ years of experience in software engineering, data infrastructure, distributed systems, ML/robotics infrastructure, or customer engineering.
• Strong hands-on 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 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.

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.

Skills

Python

APIs/SDKs

AWS/GCP

Kubernetes

Data pipelines

English

Mandarin

Job description

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.