Technical Project Manager

Maxinsights Corporation•Santa Clara, CA

About The Position

At MaxInsights, we enable Robotics Foundation Model companies to access massive, high-quality, scalable training data for embodied AI through our end-to-end data solution platform. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We are building the data collection systems, simulation engines, operational capabilities, and software toolchain to help our partners drive the field forward.

Requirements

2–5 years of project or program management experience (TPM role).
A strong grasp of tech fundamentals. You can comfortably interface with engineering teams on topics like data pipelines, sensor modalities, 3D spatial math, and ML training workflows.
Exceptional learning agility and structured thinking. You can quickly isolate the root cause of complex pipeline failures, sensor drifts, or label inconsistencies, and drive cross-functional resources to a solution.
Elite communication skills in English; comfortable working with global, multi-lingual teams across different time zones.
A high-ownership, self-driven operator who thrives on turning chaos into structured, repeatable processes in a fast-moving, high-impact environment.

Nice To Haves

Direct experience in AI data services, autonomous driving, robotics, or managing high-throughput data BPO pipelines is highly preferred.
Comfort with international travel or coordinating with overseas operations is a plus.

Responsibilities

Own the full lifecycle of complex robotics data collection and annotation projects—from initial client alignment and solution design to final delivery. Ensure dataset production meets strict client SLAs and accuracy standards while managing internal cost and timeline targets.
Deeply understand clients' robotic model training needs (sensors, modalities, action spaces). Translate ambiguous academic and commercial requirements into concrete, high-precision data collection, simulation, and annotation specifications (Specs).
Serve as the central program hub coordinating teams across the US, China, and Southeast Asia. Bring together engineering, data operations, algorithms, and global annotation teams to drive seamless execution across time zones.
Build and monitor real-time tracking systems for data production pipelines. Establish multi-tiered validation and automated spot-check mechanisms to ensure the integrity, temporal alignment, and label accuracy of millions of data frames.
Identify recurring bottlenecks or manual friction points in the global data workflow and collaborate with software teams to build scalable, automated platform tooling.