Manager, Field Engineering
Core
Build and lead the operating model for Physical AI Field Engineering, deploying applied AI solutions into engineering workflows for physical products.
Role type
Manager, Field Engineering (Physical AI)
Builds
Reusable engagement patterns, delivery standards, and field-to-product feedback loops for physical AI solutions
Domain
Physical AI applied to automotive, robotics, aerospace, and industrial engineering
Deliverable
production ML models
Required skills
People leadership, technical judgment in AI/ML for physical systems, commercial understanding, stakeholder management, team development, opportunity qualification, delivery standards creation, feedback loop establishment, metric ownership
Preferred skills
Experience in automotive/robotics/aerospace/industrial sectors, embedded/on-site AI delivery, modern ML platform familiarity, capacity modeling, converting customer problems to reusable software
Technologies
Modern ML platforms, cloud deployment tools, data exploration frameworks
Responsibilities
Evolve the operating model for Physical AI Field Engineering within the region; Lead, coach, and develop a high-performing team of specialists; Set the technical and delivery bar for customer engagements; Partner with strategic customers and senior stakeholders; Build mechanisms for team effectiveness at scale; Establish a disciplined field-to-product feedback loop; Own the operating metrics for the practice
Seniority
Manager, hands-on leadership
