Technical Product Manager, Data Infrastructure

Job description

Job 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.

Job requirements

• 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.
• Experience in robotics, autonomous driving, embodied AI, or Physical AI .
• Experience with large-scale video, sensor, multimodal, or ML training datasets .