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Technical Product Manager, Data Infrastructure

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Lightwheel Limited
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

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
    .

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