Product Manager Intern (m/f/d)

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Product Manager Intern (m/f/d) - Boston (US) / Stuttgart (DE)

Who We Are:
We are a rapidly growing embodied AI company revolutionizing physical labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across warehouses and fulfillment operations worldwide. Our products represent the frontier of what intelligent, dexterous automation can do — and we are only getting started.
Overview:
We are seeking a Product Manager Intern to support the product management team across the product lifecycle — from concept and roadmap development to field deployment across 50+ production sites. This is a high-learning, cross-functional role at the intersection of AI, robotics hardware, and industrial operations. Working alongside experienced product leaders, you will help bridge communication between our AI/R&D team, software & hardware engineering, solutions architects, and customers — assisting in translating real-world operational complexity into scalable product requirements.
Your Responsibilities:
Product Strategy & Roadmap Support
Assist in maintaining and updating the product roadmap across hardware, software, AI, and field reliability

Support priority alignment — monthly to annual — in accordance with commercial goals and technical constraints

AI & Technical Ownership
Collaborate with the R&D team to help refine training data strategies, model evaluation criteria, and deployment thresholds

Help collect and analyze field failure data to feed back into Cortex training models

Customer & Field Collaboration
Spend time at production sites; turn operator observations and edge cases into structured requirements

Assist in drafting capability specs, performance SLAs, and integration requirements for customer-facing delivery

Cross-functional Execution
Support backlog management; help prioritize items by impact, frequency, & strategic fit

Coordinate with engineering leads to track task completion, identify dependencies, and maintain momentum

Track KPIs: uptime, pick success rate, intervention rate, time-to-value

Assist in creating product collateral and supporting material for commercial and pre-sales technical discussions

Education & Experience
Education & Experience
Currently pursuing or recently completed a degree in Engineering, Computer Science, Robotics, or a related field