Product Manager, Data & Teleoperation

Mind Robotics • Palo Alto, CA

3d

About The Position

Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most acute and the environment is most exacting: the factory floor. The Product Manager for Data & Teleoperation sits at the intersection of human intent and robotic embodiment, treating the end-to-end data collection pipeline as a high-fidelity product. Your mission is to define and execute the roadmap for our teleoperation platform, ensuring that human demonstrations translate into the high-quality data necessary to ground our AI models in physical reality. You will bridge the gap between AI Research, Engineering, and Operations to build a scalable data flywheel that validates hardware and evaluates policy stability.

Requirements

• 5+ years in Product Management, ideally within Robotics, HRI, or data-intensive Infrastructure products.
• Expert in PRD creation, roadmap prioritization, and managing complex cross-functional dependencies across hardware and software cadences.
• Ability to treat data collection as a product, balancing immediate operational needs with the long-term goal of a productized data collection system.
• Proven track record of earning trust on the factory floor and in the research lab, translating between technical disciplines and business objectives.

Responsibilities

• Own the product vision and multi-quarter roadmap for teleoperation "cockpits," prioritizing features like VR integration, haptics, and ultra-low-latency streaming to improve operator intuition.
• Translate hardware iteration needs (gripper design, field-of-view) into product requirements for the teleoperation interface, ensuring hardware is validated through rapid human feedback loops.
• Research and scope cutting-edge technologies, including VR, haptics, and ultra-low-latency streaming to enhance operator intuition.
• Define specifications for high-fidelity data capture, ensuring kinematics and latency parameters meet the standards required for robot-learnable datasets.
• Productize the "recovery data" program, defining workflows for operator intervention when autonomous policies fail to capture high-value training data.
• Oversee the strategic roadmap for Sim-to-Real data pipelines and passive factory video capture, ensuring a pathway to warehouse-scale operations.
• Establish and track North Star metrics for the teleoperation program, including data collection throughput, cost-per-hour of high-value data, and operator efficiency.
• Implement frameworks (e.g., Shapley values) to measure the impact of specific data sources on model performance, driving ROI-based data collection.
• Monitor the "Quality" of the data output, ensuring it meets the rigorous benchmarks set by AI Research for model training.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed