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Salary: USD 215,000 - 245,000 / annual
Apptronik is a Series B human-centered robotics company developing AI-powered humanoid robots (Apollo) to support humanity across manufacturing, logistics, healthcare, and beyond. The company operates at the cutting edge of applied AI, integrating expertise across the full robotics stack.
As Staff Product Manager for Applied AI, you will own the product vision and execution for the physical AI model roadmap, driving integration and fine-tuning of foundation models into Apollo's autonomy stack. You will sequence which capabilities graduate into shipping models, balancing capability velocity against reliability and safety requirements.
Key responsibilities include:
- Owning the physical AI model roadmap: product vision, milestones, and release cycles for the core model stack
- Driving integration, adaptation, and fine-tuning of foundation models into Apollo's autonomy stack
- Translating customer use cases into model capability requirements and acceptance criteria
- Partnering with data collection and evaluation teams on benchmarks, real-world evaluation, and deployment gates
- Owning the data strategy that feeds model development: defining what to collect, target tasks/behaviors, and quality bars
- Aligning data technology and operations teams on collection techniques, tooling, and quality expectations
- Defining and prioritizing use cases based on business impact, feasibility, and customer needs
- Ensuring product development aligns with real-world economic value for customers
- Synthesizing insights from user research, customer meetings, usage data, and sales feedback into strategy
- Working with industrial design, UX, and engineering teams to conceptualize and implement interactive features
- Defining product features and communicating requirements to engineering via clear documentation and communication
- Supporting product marketing initiatives and partnership opportunities
Required qualifications: 7+ years of product management experience with strong understanding of modern robot learning techniques (imitation learning, reinforcement learning). Demonstrated experience integrating, adapting, or fine-tuning models. Strong familiarity with constraints of running large neural networks on physical edge devices. Strong analytical skills, excellent communication, ability to make decisions in uncertainty, and commitment to user feedback. Bachelor's degree in mechanical, electrical, systems, or robotics engineering (or related field); advanced degree or MBA helpful. At least 10 years in product management or engineering, including 5+ years leading product managers, with track record of shipping complex hardware products.
Nice-to-have: experience with autonomous robots/vehicles, simulation tools, hands-on foundation model training, data collection operations, industrial environments, and robotics/functional safety standards (ISO 10218, ISO/TS 15066, ISO 13482, RIA 15.08).
