Job Description

About the role

The AI Research Division of Agile Robots is looking for a Senior Product Manager (m/f/d) Robot Learning You would be responsible for the product layer of robot learning systems, covering everything from data collection and training pipelines to deployment on physical robotic platforms. You would translate real-world robotic constraints and customer needs into specific learning problems, ensuring capabilities reliably move from data to model to physical execution.

Your Responsibilities

• Product Roadmap: Define and maintain the roadmap for robot learning systems, balancing data acquisition, model performance, and real-world deployment constraints.
• Problem Framing: Translate customer use cases and operational requirements into concrete learning problems, data needs, and system specifications.
• Pipeline Ownership: Drive development of end-to-end robot learning workflows, covering data collection, model training, evaluation, and deployment.
• Cross-System Integration: Ensure alignment between AI models, robotics systems, and data infrastructure so that learned capabilities hold under real-world execution conditions.
• Execution Management: Prioritize work across engineering, research, and operations teams, identify risks early, and drive delivery against measurable system outcomes.
• Operational Feedback Loop: Establish feedback cycles from deployed robots into data and model improvement, maintaining reliability as systems scale.

Essential Skills

• Work Experience: More than 5 years' experience as a Product Manager or Product Owner in the management of complex technical products with multiple system dependencies, including AI, robotics and automation.
• Robot Learning Knowledge: Working understanding of how data, models, and deployment interact in robotics, including areas such as perception, imitation learning, or reinforcement learning.
• Systems Thinking: Ability to reason across data pipelines, ML training, and robotic execution as an integrated system rather than isolated components.
• Technical Grounding: Solid understanding of robotic system components (sensors, actuators, control systems), common software environments such as ROS, Python, and Linux as well as and ML workflows (training, evaluation, deployment) to engage on technical tradeoffs.
• Delivery Track Record: Demonstrated delivery of complex technical products in agile environments, including backlog management and cross-functional coordination.
• Cross-Functional Communication: Demonstrated ability to translate technical concepts for non-technical stakeholders and maintain alignment across engineering, operations, and business teams.
• Language: Fluent in English, written and spoken.

Beneficial Skills

• Data-Centric AI: Experience with large-scale data collection, labeling, or human-in-the-loop annotation workflows.
• Robot Learning Methods: Background in robot learning, imitation learning, or reinforcement learning applied to physical systems.
• Hardware Deployment: Experience bringing ML systems onto physical robotic hardware or into production-adjacent environments.
• Hardware-Constrained Systems: Familiarity with safety-critical or hardware-constrained deployment environments, such as industrial automation or robotic operations.
• Global Coordination: Experience working across distributed international engineering or research teams.
• Additional Languages: Proficiency in German and/or Chinese.

What we offer

• Dynamic high-tech company combined with financial soundness and world class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Lots of development opportunities in the context of our continued growth.
• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.