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Product Manager (m/f/d)

Role overview

Qualifications

  • Degree in Engineering, Computer Science, Robotics, or related field
  • 5+ years in product management; 2+ years on robotics systems
  • Familiarity with robot software stacks (ROS2, Zenoh, motion planning, control, perception pipelines)
  • Basic awareness of EU Machinery Regulation, ISO 10218/15066, and AI Act obligations

Responsibilities

  • Own the product roadmap across hardware, software, AI, and field reliability
  • Shape training data strategy, model evaluation criteria, and deployment thresholds with the RD 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

Key facts

Other skills

  • Reliability
  • Communication
  • Problem Solving
  • Teamwork

About the company

Sereact logo

Sereact

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Company details

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Job description

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 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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