Maxinsights · San Francisco
Product & ProgramEngineeringFullTimeposted 7w ago
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.
End-to-End Project Delivery: 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.
Data Solution & Spec Design: 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).
Global Cross-Functional Coordination: 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.
Quality Control & Progress Monitoring: 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.
Process Automation: Identify recurring bottlenecks or manual friction points in the global data workflow and collaborate with software teams to build scalable, automated platform tooling.
Background: 2–5 years of project or program management experience (TPM role). Direct experience in AI data services, autonomous driving, robotics, or managing high-throughput data BPO pipelines is highly preferred.
Technical Literacy: 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.
Problem Solving: 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.
Cross-Border Collaboration: Elite communication skills in English; comfortable working with global, multi-lingual teams across different time zones. Comfort with international travel or coordinating with overseas operations is a plus.
Startup Mindset: A high-ownership, self-driven operator who thrives on turning chaos into structured, repeatable processes in a fast-moving, high-impact environment.
Competitive Compensation: Market-competitive base salary, and comprehensive benefits.
Massive Impact: A front-row seat and massive leverage in building the data infrastructure powering the next wave of embodied intelligence.
Elite Collaboration: Direct partnership with leading experts, founders, and tier-one AI and robotics foundation model labs globally.
Growth Culture: A fast-paced, high-ownership startup culture that prioritizes execution speed, transparency, and minimal bureaucracy.
Health insurance
Vision care
Dental coverage
401(k)
Paid holidays
PTO (Paid Time Off)
Sick leave