Product Manager - Physical AI for Industrial Robotics

Lever, Inc.

Zürich

Vor Ort

CHF 140.000 - 190.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

ANYbotics in Zurich is seeking a Product Manager for Physical AI to bridge business goals with robotics engineering across perception, navigation, and locomotion. You will own the roadmap, translate strategy into technical requirements, and ensure deployment at a field scale with key accounts.

You have a strong technical background in robotics or computer science, experience with hardware-software systems, and a track record in technical product management for complex autonomous platforms.

Qualifikationen

  • Engineering or science degree with robotics focus.
  • Experience in industrial robotics environments.
  • Background in perception, navigation, or locomotion.
  • Proven ability to translate customer needs into development backlogs.

Aufgaben

  • Translate strategic goals into detailed roadmaps and prioritize deployments.
  • Integrate account insights to align priorities with customer value.
  • Define product strategy to improve resilience, reliability and coverage.
  • Collaborate with R&D teams to turn needs into specifications and manage risks.
  • Establish KPIs and drive continuous improvement of robot performance and safety.
  • Bridge field engineering with software and hardware teams for deployments.

Kenntnisse

Deep Technical Background
Industry Business Expertise
Domain Expertise
Technical PM Experience
ODD Familiarity
Collaborative Mindset
Outcome-Oriented
Systems Thinking

Ausbildung

Engineering or science degree

Tools

ROS2
Simulation Environments
Data-driven Regression Testing

Jobbeschreibung

ANYbotics in Zurich is seeking a Product Manager for Physical AI to bridge business goals with robotics engineering across perception, navigation, and locomotion. You will own the roadmap, translate strategy into technical requirements, and ensure deployment at a field scale with key accounts.

You have a strong technical background in robotics or computer science, experience with hardware-software systems, and a track record in technical product management for complex autonomous platforms.

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