Senior Product Manager, Teleoperation

Apptronik Apptronik · Robotics · HQ · Product

The Senior Product Manager, Teleoperation will own the teleoperation product, focusing on driving product vision, ensuring seamless execution across hardware/software, and translating market demands into executable roadmaps. This role involves defining requirements for VR/XR interfaces, applying human factors rigor to operator experience, partnering with data collection operations, and defining customer-facing fine-tuning workflows for deployed robots. The goal is to maximize teleoperated data collection throughput and quality, and to connect operator experience to training outcomes for robot learning.

What you'd actually do

  1. Own and maintain the Teleoperation roadmap: scope, sequencing, and feature priorities across the operator interface, data collection workflows, and customer fine-tuning workflows.
  2. Define requirements for the teleoperation interface — VR/XR rigs, control mappings, haptic and visual feedback, and situational-awareness displays — in partnership with design and engineering.
  3. Apply human factors rigor to the operator experience: cognitive load, fatigue, ergonomics, latency tolerance, embodiment mismatch, motion sickness, learnability, and time-to-proficiency.
  4. Partner with Data Collection operations to maximize teleoperated data collection throughput and quality.
  5. Connect operator experience to training outcomes: define the metrics that tie interface quality to the quality of demonstrations used for robot learning.

Skills

Required

  • Demonstrated experience shipping virtual reality, XR, or immersive interface products to real users.
  • Background in human factors, HCI, or applied ergonomics — you understand how to design interfaces suited to operators, and how to measure operator performance and comfort.
  • Experience with teleoperation or remote operation of physical systems (robots, vehicles, drones, or similar).
  • Strong analytical skills with experience in performance tracking and data-driven decision-making.
  • Excellent communication skills, both verbal and written, enabling translation of technical insights into business impact.
  • You make decisions in uncertainty, prioritizing velocity over perfection.
  • You prioritize operator and user feedback, promoting and advocating for that voice to internal teams.

Nice to have

  • Familiarity with robot learning data pipelines — imitation learning, demonstration quality, and what makes teleoperated data useful for training.
  • Experience working with customers in light and heavy duty industrial environments.
  • Experience deploying products into industrial or warehouse environments.

What the JD emphasized

  • shipping virtual reality, XR, or immersive interface products to real users
  • human factors rigor
  • teleoperation or remote operation of physical systems

Other signals

  • human-centered robotics
  • AI-powered robots
  • embodied AI
  • robot learning data pipelines
  • teleoperation