Technical Project Manager
About the job
- 2–5+ years of project or program management experience in a technical project management role.
- Direct experience in AI data services, autonomous driving, robotics, or managing high-throughput data business process outsourcing pipelines.
- A strong grasp of technical fundamentals and the ability to interface with engineering teams on data pipelines, sensor modalities, 3D spatial math, and machine learning training workflows.
- Ability to isolate root causes of complex pipeline failures, sensor drifts, or label inconsistencies and drive cross-functional resources toward a solution.
- Ability to communicate in English and work with global, multilingual teams across time zones.
- 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 client service-level agreements and accuracy standards while managing internal cost and timeline targets.
- Understand clients’ robotic model training needs, including sensors, modalities, and action spaces.
- Translate ambiguous academic and commercial requirements into concrete, high-precision data collection, simulation, and annotation specifications.
- Coordinate teams across the United States, China, and Southeast Asia, bringing together engineering, data operations, algorithms, and global annotation teams across time zones.
- Communicate technical requirements, project updates, specifications, and operational issues across United States- and China-based teams in Mandarin Chinese and English.
- Build and monitor real-time tracking systems for data production pipelines.
- Establish multi-tiered validation and automated spot-check mechanisms to ensure data integrity, temporal alignment, and label accuracy.
- Identify recurring bottlenecks or manual friction points in global data workflows and collaborate with software teams to build scalable, automated platform tooling.
- Fluency in both Mandarin Chinese and English, with strong written and verbal communication skills in both languages.
- Comfort with international travel or coordinating with overseas operations.
About the company
MaxInsights AI collects real-world data tailored to client needs in hospitality and home environments using mobile and stationary ALOHA units and robot arms from UR, ABB, and KUKA. The process starts with selecting a standard scene (Laundry Center, Restaurant, Kitchen, Hotel, or Home) and deploying the configured devices to gather data, which the platform then stores, analyzes, and visualizes in real time as distributions and movement trajectories. Unlike generic datasets, it offers customized data services with a live visualization and adaptive feedback loop that helps refine data collection. The goal is to provide accurate, actionable data and a streamlined collection process so clients can make informed decisions and optimize operations.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
2024
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Simplify's Take
What believers are saying
- The website claims 450,000 monthly video hours and 50,000 scenes as of 2026-09-14.
- Maxinsights posted eight open roles on 2026-09-13, including engineering and sales.
- LinkedIn lists 2,074 followers and 51-200 employees, signaling active market traction.
What critics are saying
- Eight 2026 jobs expose a scaling crunch across operations, engineering, and business development.
- Crowdsourced real-world collection stays labor-heavy, making margins fragile against in-house datasets.
- Within 12-24 months, synthetic data adoption cuts physical capture demand and kills the business.
What makes Maxinsights unique
- Maxinsights built a global capture network spanning 50,000 scenes and 450,000 video hours monthly.
- Its pipeline links task design, capture, QA, and structured outputs in one loop.
- The company sells human-centric Physical AI data, not generic annotation labor.
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Benefits
- Health Insurance
- Vision Insurance
- Dental Insurance
- 401(k)
- Paid Holidays
- PTO (Paid Time Off)
- Paid Sick Leave