- Robot type
- Humanoid
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jul 29, 2026
- Salary
- $275,000–$350,000 a year
Staff Product Manager, Applied AI
Job description
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.
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.
Job responsibilities
- Own and maintain the physical AI model roadmap: product vision, milestones, and release cycles for the core model stack
- Drive the integration, adaptation, and fine-tuning of foundation models into Apollo's autonomy stack. Sequence which capabilities graduate into the shipping model, balancing capability velocity against reliability and…
- Translate customer use cases into model capability requirements and acceptance criteria
- Partner with our data collection and evaluation team on benchmarks, real-world evaluation, and the success criteria that gate real-world deployment.
- Own the data strategy that feeds model development: define what to collect and why, the target tasks and behaviors, and the quality bar.
- 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 that product development efforts align with real-world economic value for customers.
Job requirements
- 7+ years of experience in product management
- Strong understanding of modern robot learning techniques including imitation learning, reinforcement learning
- Demonstrated experience integrating, adapting, or fine-tuning models
- Strong familiarity with the constraints of running large neural networks on physical edge devices
- 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 user feedback, promoting and advocating for that voice to internal teams.
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