Product Manager Intern (m/f/d)

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
• Strong interest in robotics and AI
• Ability to learn quickly and contribute to complex technical projects

Technical Skills

• Familiarity with robot software stacks (ROS2, Zenoh, motion planning, control, perception pipelines)
• Can engage credibly with AI/ML teams on model evaluation and deployment criteria
• Understands hardware-software co-design tradeoffs and their downstream software impact

Product Skills

• Helps gather field feedback and engineering constraints to support clear requirement drafting
• Assists in writing and updating PRDs and technical briefs for engineering teams
• Basic awareness of EU Machinery Regulation, ISO 1, and AI Act obligations
• Supports commercial enablement by creating product collateral and documentation

Soft Skills

• Proactive and eager to learn; takes initiative to support project progress
• Strong communicator capable of collaborating with cross-functional teams and external stakeholders
• Identifies potential risks early and works with senior team members to explore solutions

Nice to Have

• Warehouse automation, AMR, or logistics tech background
• Startup experience where scope was undefined
• WMS integration or fleet management exposure

WHAT WE OFFER:

• Wellpass (gym membership)
• Free meals at the workplace
• Flexible working hours and the option to work from home when needed
• A defining role shaping one of the most technically ambitious robotics products
• Competitive compensation and excellent career development opportunities

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation