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.

Role Summary

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.

Key Responsibilities

Product Strategy & Roadmap

• Teleoperation Platform Roadmap: 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.

• Feature Definition & Hardware UX: 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.

• Technological Innovation: Research and scope cutting-edge technologies, including VR, haptics, and ultra-low-latency streaming to enhance operator intuition.

Data Product Lifecycle

• Data Fidelity & Integrity: Define specifications for high-fidelity data capture, ensuring kinematics and latency parameters meet the standards required for robot-learnable datasets.

• Recovery & Edge-Case Strategy: Productize the "recovery data" program, defining workflows for operator intervention when autonomous policies fail to capture high-value training data.

• Scale & Integration: Oversee the strategic roadmap for Sim-to-Real data pipelines and passive factory video capture, ensuring a pathway to warehouse-scale operations.

KPI & Value Measurement

• Metric Ownership: Establish and track North Star metrics for the teleoperation program, including data collection throughput, cost-per-hour of high-value data, and operator efficiency.

• Data Value Attribution: Implement frameworks (e.g., Shapley values) to measure the impact of specific data sources on model performance, driving ROI-based data collection.

• Quality over Quantity: Monitor the "Quality" of the data output, ensuring it meets the rigorous benchmarks set by AI Research for model training.

Qualifications

• Background: 5+ years in Product Management, ideally within Robotics, HRI, or data-intensive Infrastructure products.

• Product Craft: Expert in PRD creation, roadmap prioritization, and managing complex cross-functional dependencies across hardware and software cadences.

• Strategic Vision: Ability to treat data collection as a product, balancing immediate operational needs with the long-term goal of a productized data collection system.

• Leadership: Proven track record of earning trust on the factory floor and in the research lab, translating between technical disciplines and business objectives.