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Apptronik

Senior Product Manager, Teleoperation

Apptronik is hiring a Senior Product Manager, Teleoperation in Austin, United States. Level rates it ; you can apply on Apptronik.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include fine tuning.
  • Level classifies it as a senior role.
  • Level lists 88 other open roles at Apptronik.

AI in this role

fine-tuning

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

JOB SUMMARY

You will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps.

You will own the teleoperation product: a first-rate interface for teleoperated data collection, serving both our data collection environment and customers who want to improve fleet performance. You will draw on virtual reality / XR experience and a human factors background to create interfaces genuinely suited to the operators who use them, maximizing data throughput and quality while keeping operators effective, comfortable, and safe.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

  • Own and maintain the Teleoperation roadmap: scope, sequencing, and feature priorities across the operator interface, data collection workflows, and customer fine-tuning workflows.
  • 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.
  • Apply human factors rigor to the operator experience: cognitive load, fatigue, ergonomics, latency tolerance, embodiment mismatch, motion sickness, learnability, and time-to-proficiency.
  • Partner with Data Collection operations to maximize teleoperated data collection throughput and quality.
  • Connect operator experience to training outcomes: define the metrics that tie interface quality to the quality of demonstrations used for robot learning.
  • Define and own the customer-facing fine-tuning workflow for deployed robots, including permissioning, safety controls, and operation over real-world networks.
  • Define product features/enhancements and communicate requirements to engineering teams via clearly written requirements documents, diagrams, and concise verbal communication.
  • Prioritize use cases based on business impact, feasibility, and customer needs, and ensure product development efforts align with real-world economic value for customers.
  • Partner with UX, UX Research, and industrial design to validate and refine operator interfaces before deployment.
  • Synthesize insights from operator feedback, usage data, customer meetings, and data-quality metrics into a strategy that delivers business objectives.

SKILLS AND REQUIREMENTS

  • Complex real-time operator interface or HMI experience under latency/safety constraints, or immersive interface products
  • 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.

EDUCATION and/or EXPERIENCE

  • At least 4 years of experience in product management.
    Bachelor’s in HCI or Engineering preferred
  • Experience in human factors, HCI, cognitive science, or a related field.
  • Experience with motion capture, hand tracking, or haptic input devices.
  • Experience with autonomous robots or autonomous vehicles.

PHYSICAL REQUIREMENTS

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate
  • Ability to wear and operate VR/XR headsets and teleoperation rigs for evaluation purposes

*This is a direct hire. Please, no outside Agency solicitations.

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

How we rate this

Senior Product Manager, Teleoperation at Apptronik rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuning

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$179k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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