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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Product Owner - Cloud Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in product ownership or product management for software products, ideally in B2B platforms, SaaS, or data and machine-learning tooling.
  • Experience working in agile teams, ideally using Scrum, with a pragmatic approach to methods.
  • Experience working with numerous stakeholders with differing and sometimes competing interests, including senior management, and the ability to make and explain difficult decisions.
  • Ability to discuss cloud architectures, application programming interfaces, and domain boundaries with engineers. Knowledge of Amazon Web Services, data pipelines, or machine-learning workflows is a significant advantage; programming skills are not required.
  • Experience taking responsibility for complex, multi-tenant platform products and understanding the implications of scaling for features, costs, and operations.
  • Ability to measure success by user value and actively incorporate data and user feedback into decisions.
  • Very good spoken and written English is required.

Responsibilities

  • Own the vision, roadmap, backlog, product decisions, and outcomes for NeuraGym's cloud and edge software.
  • Organize, refine, and communicate the product backlog, ensuring teams understand priorities and rationale; write clear backlog items with meaningful acceptance criteria.
  • Decide which features to implement by weighing user value, effort, risk, and strategic relevance, and communicate decisions transparently.
  • Translate the overall product strategy into concrete cloud-platform goals, synchronize roadmaps with the NeuraGym Product Owner, and represent a shared position to customers and stakeholders.
  • Work with the division leadership and architects to align features with security, tenant isolation, scalability, and technical debt; structure work around clear domain boundaries to enable teams to deliver independently.
  • Understand the needs of robotics operators, machine-learning researchers, data teams, partners, and customer administrators; bring their feedback into reviews and continuously assess whether solutions address their problems.
  • Define product goals and shape planning, refinement, and review activities to provide value to teams.
  • Design a platform able to serve many customers across regions, with cost transparency and reliable operations from the outset.
  • Coordinate with other cloud-platform teams and robotics and artificial-intelligence teams on shared capabilities and dependencies, from identity and organizations to deployment on robots.

Desired Qualifications

  • Experience with B2B platforms, SaaS, or data and machine-learning tooling is preferred.
  • Experience with Scrum is preferred.
  • Knowledge of Amazon Web Services, data pipelines, or machine-learning workflows is a significant advantage.
  • German language skills are a plus.

About the Company

Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.

Company size
501-1,000
Company stage
Series C
Total funding
$1.7B
Headquarters
Metzingen, Germany
Founded
2019

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