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Apptronik

Develops AI-powered humanoid robots for manufacturing

Staff Product Manager - Applied AI

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$275k - $350k

About the Job

Requirements

  • At least 7 years of experience in product management.
  • Strong understanding of modern robot-learning techniques, including imitation learning and reinforcement learning.
  • Demonstrated experience integrating, adapting, or fine-tuning models.
  • Strong familiarity with the constraints of running large neural networks on physical edge devices.
  • Experience with performance tracking and data-driven decision-making.
  • Ability to communicate technical insights as business impact, both verbally and in writing.
  • Ability to make decisions under uncertainty and prioritize velocity over perfection.
  • Ability to prioritize user feedback and advocate for it to internal teams.
  • A bachelor's degree or equivalent in mechanical, electrical, systems, or robotics engineering, or a related field.
  • At least 10 years of experience in product management or engineering.
  • Ability to spend time on lab and manufacturing floors and travel to supplier and manufacturing sites as needed.
  • Ability to lift 15 pounds at times.
  • Vision to read printed materials and a computer screen; hearing and speech to communicate.

Responsibilities

  • Own and maintain the physical AI model roadmap, including product vision, milestones, and release cycles for the core model stack.
  • Drive integration, adaptation, and fine-tuning of foundation models into Apollo's autonomy stack, sequencing which capabilities graduate into the shipping model while balancing capability velocity against reliability and safety.
  • Translate customer use cases into model capability requirements and acceptance criteria.
  • Partner with data collection and evaluation teams on benchmarks, real-world evaluation, and success criteria for real-world deployment.
  • Own the data strategy for model development, defining what to collect and why, target tasks and behaviors, and quality standards.
  • Align data technology and operations teams on collection techniques, tooling, and quality expectations.
  • Define and prioritize use cases based on business impact, feasibility, and customer needs.
  • Ensure product development efforts align with customers' real-world economic value.
  • Synthesize user research, customer meetings, usage data, and sales feedback into a strategy that delivers business objectives and customer benefits.
  • Work with industrial design, user experience, and engineering teams to conceptualize and implement interactive features.
  • Define and prioritize product features and enhancements and communicate requirements to engineering teams through written requirements documents, diagrams, and concise verbal communication.
  • Support product marketing initiatives, partner relationships, and other opportunities to accelerate product adoption.

Desired Qualifications

  • Experience with autonomous robots or autonomous vehicles.
  • Experience using simulation tools to improve user experience.
  • Hands-on experience training or fine-tuning foundation models.
  • Experience with data collection operations, including teleoperation fleets and annotation and curation pipelines.
  • Experience working with customers in light- and heavy-duty industrial environments.
  • Experience with robotics and functional safety standards, including ISO 10218, ISO/TS 15066, ISO 13482, and RIA 15.08.
  • An advanced degree or MBA.

About the Company

Apptronik

Develops AI-powered humanoid robots for manufacturing

Apptronik builds Apollo humanoid robots powered by AI to work with people in manufacturing, logistics, and planned expansion to retail, healthcare, and home. Apollo robots perform physical tasks such as transporting components, sorting, and kitting, working alongside human workers. They differentiate themselves through a human-centered approach linked to the UT Austin robotics lineage and NASA’s Valkyrie, plus partnerships with Mercedes-Benz, GXO Logistics, Jabil, and Google DeepMind Gemini Robotics, with strong funding to scale production and training. Their goal is to scale Apollo deployments to enable safer, more efficient collaboration between humans and robots across multiple sectors.

Company size
501-1,000
Company stage
Private
Total funding
$949.8M
Headquarters
Austin, TX
Founded
2015

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