Vention

Vention

Commissioning Manager - Physical AI

Montreal, QC, Canada

Sponsorship not specifiedDetected 47 days ago
Full-Stack DevelopmentProject ManagementPerformance ManagementRoboticsLeadershipCommunicationCollaborationMentoring

About the role

  • Our technology powers over 25,000 machines across 4,000 factories across 5 continents and we have the privilege to work with a significant proportion of Fortune 500 manufacturers, from space rockets, to electrical cars, to robotics.
  • We're a team of high achievers who grow through meaningful work, solving complex challenges, learning fast, and seeing the results of our efforts every day.
  • We move quickly and aim high, but we do it together with care, collaboration, and respect.

Responsibilities

  • Manage a team of delivery engineers and technicians to support their technical, professional and interpersonal growth
  • Lead in-house client feasibility assessments conducted pre-sales on robotics test cells
  • Build and maintain a Physical AI execution playbook - specifications, BOM and test plans
  • Quarterly management training on topics ranging from "Giving & Receiving Feedback, to Building high-performing teams, to "Developing your own Leadership model"
  • Quarterly World-Class Speaker Series featuring industry leaders sharing their perspective and lessons learned as they build their function and business

Compensation

  • Two paid volunteering days per year to give back to causes you care about.

Benefits

  • A complete group benefits plan for you and your family that start day one.
  • Top-up and benefits for new parents: Additional financial support and resources to support employees during their transition to parenthood.
  • Dedicated professional development channels sponsored by the Executive team to foster continuous professional learning

Company info

  • Work cross functionally from Customers to Physical AI Engineering to execute the design, programming and commissioning sold projects

This listing is sourced directly from Vention's careers page and normalized into a canonical job model.