Product Manager Intern

Jobtailor; Stuttgart; Vor Ort; EUR 14.000 - 24.000; Vollzeit

Zusammenfassung

Jobtailor in Stuttgart seeks a motivated student or recent graduate to support robotics product development. You will help maintain the hardware–software roadmap across robotics domains and assist in aligning plans with commercial goals and technical constraints.

You will collaborate with R&D to refine training data strategies, evaluate model criteria, collect and analyze field failure data, and turn operator observations into structured requirements for PRDs and SLAs.

Qualifikationen

• Pursuing or recent graduate in engineering, CS, robotics, or related field.
• Strong interest in robotics and AI with ability to learn quickly.
• Familiar with robot software stacks including ROS2, Zenoh, motion planning, and perception pipelines.
• Ability to engage with AI/ML teams on model evaluation and deployment criteria.
• Understanding of hardware-software co-design and field data analysis.
• Ability to write and update PRDs and technical briefs.

Aufgaben

• Assist in maintaining and updating the product roadmap across hardware, software, AI, and field reliability
• Support priority alignment from monthly to annual planning in accordance with commercial goals and technical constraints
• Collaborate with R&D to refine training data strategies, model evaluation criteria, and deployment thresholds
• Collect and analyze field failure data for Cortex training models
• Spend time at production sites and turn operator observations and edge cases into structured requirements
• Assist in drafting capability specifications, performance SLAs, and integration requirements for customer-facing delivery
• Support backlog management and prioritize items by impact, frequency, and strategic fit

Kenntnisse

Robotics

AI/ML Collaboration

ROS2 Familiarity

Requirement Drafting

KPI Tracking

Ausbildung

Engineering Degree

Computer Science Degree

Robotics Degree

Tools

ROS2

Zenoh

Warehouse Management Systems

Fleet Management

Jobbeschreibung

• Assist in maintaining and updating the product roadmap across hardware, software, AI, and field reliability
• Support priority alignment from monthly to annual planning in accordance with commercial goals and technical constraints
• Collaborate with R&D to refine training data strategies, model evaluation criteria, and deployment thresholds
• Collect and analyze field failure data for Cortex training models
• Spend time at production sites and turn operator observations and edge cases into structured requirements
• Assist in drafting capability specifications, performance SLAs, and integration requirements for customer-facing delivery
• Support backlog management and prioritize items by impact, frequency, and strategic fit
• Coordinate with engineering leads to track task completion, identify dependencies, and maintain momentum
• Track KPIs including uptime, pick success rate, intervention rate, and time-to-value
• Assist in creating product collateral and supporting material for commercial and pre-sales technical discussions
• Bridge communication among AI/R&D, software and hardware engineering, solutions architects, and customers across the product lifecycle

Requirements

• 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
• Familiarity with robot software stacks, including ROS2, Zenoh, motion planning, control, and perception pipelines
• Ability to engage credibly with AI/ML teams on model evaluation and deployment criteria
• Understanding of hardware-software co-design tradeoffs and downstream software impact
• Ability to gather field feedback and engineering constraints for requirement drafting
• Ability to write and update PRDs and technical briefs
• Basic awareness of EU Machinery Regulation, ISO 10218/15066, and AI Act obligations
• Ability to create product collateral and documentation
• Proactive and eager to learn; takes initiative
• Strong communication and cross-functional collaboration skills
• Ability to identify potential risks and explore solutions with senior team members
• Warehouse automation, AMR, or logistics technology background (nice to have)
• Startup experience with undefined scope (nice to have)
• WMS integration or fleet management exposure (nice to have)

Core Competencies

Demonstrates strong capabilities in robotics and AI, with a focus on hardware-software co-design, requirement drafting, and product documentation. Proficient in collaborating across engineering teams to support product development and align with commercial goals.

Highest-signal resume keywords

• Robotics
• AI/ML Collaboration
• ROS2 Familiarity
• Requirement Drafting
• KPI Tracking

ATS Optimization Keywords

Hard Skills

• Engineering Degree
• Computer Science Degree
• Robotics Degree
• Technical Brief Writing
• PRD Writing
• Field Data Analysis
• Performance SLA Drafting
• Integration Requirement Drafting
• Motion Planning
• Control and Perception Pipelines

Soft Skills

• Strong Communication
• Cross-Functional Collaboration
• Proactive Learning
• Initiative Taking
• Risk Identification

Certifications & Qualifications

• Basic Awareness of EU Machinery Regulation
• ISO 10218/15066 Awareness
• AI Act Obligations Awareness

Industry Keywords

• Warehouse Automation
• Autonomous Mobile Robots
• Logistics Technology
• Startup Experience
• Undefined Scope Experience

Tools & Technologies

• Robot Software Stacks
• ROS2
• Zenoh
• Warehouse Management Systems
• Fleet Management