Product Manager (m/f/d)

Sereact GmbH

$90K — $130K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Degree in Engineering, Computer Science, Robotics, or related field
  • 5+ years in product management; 2+ years on robotics systems
  • Track record of shipping complex technical products in production
  • 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

Responsibilities

  • Own the product roadmap across hardware, software, AI, and field reliability
  • Shape training data strategy, model evaluation criteria, and deployment thresholds with the R&D team
  • Spend time at production sites; turn operator observations and edge cases into structured requirements
  • Run a customer-driven backlog; prioritize by impact, frequency, & strategic fit
  • Track KPIs: uptime, pick success rate, intervention rate, time-to-value

Benefits

  • 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
Full Job Description
Overview:

We are seeking a Product Manager to own the full product lifecycles - from concept and roadmap to field deployment across 50+ production sites. This is a high ownership, cross functional role at the intersection of AI, robotics hardware, and industrial operations. You will be the connective tissue between our AI/R&D team, software & hardware engineering, solutions architects, and customers - translating real-world operational complexity into a product that runs autonomously at scale with minimal human supervision.

Your Responsibilities:

Product Strategy & Roadmap
  • Own the product roadmap across hardware, software, AI, and field reliability
  • Set and defend priorities - monthly to annual - against commercial goals and technical constraints

AI & Technical Ownership
  • Shape training data strategy, model evaluation criteria, and deployment thresholds with the R&D team
  • Close the loop between field failure data and Cortex training

Customer & Field Collaboration
  • Spend time at production sites; turn operator observations and edge cases into structured requirements
  • Own capability specs, performance SLAs, and integration requirements for customer-facing delivery

Cross-functional Execution
  • Run a customer-driven backlog; prioritize by impact, frequency, & strategic fit
  • Sequence work with engineering leads; unblock dependencies and maintain momentum
  • Track KPIs: uptime, pick success rate, intervention rate, time-to-value
  • Be the product voice in pre-sales technical conversations, build product collateral for the commercial team
Education & Experience
  • Degree in Engineering, Computer Science, Robotics, or related field
  • 5+ years in product management; 2+ years on robotics systems
  • Track record of shipping complex technical products in production

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
  • Turns messy field signal and engineering constraints into clear, prioritized requirements
  • Prepare PRDs and technical briefs that engineering teams actually use
  • Basic awareness of EU Machinery Regulation, ISO 10218/15066, and AI Act obligations
  • Own the product narrative in pre-sales - and build the collateral that helps the commercial team win

Soft Skills
  • High agency; defines the path rather than waiting for one
  • Pushes back on commercial, supports engineering, challenges customers, and aligns leadership - often in the same week
  • Surfaces risks and constraints early with solutions and path forward

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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