Physical AI Senior Manager

About This Role

Serve as a functional and domain expert for Physical AI within manufacturing and supply chain operations. Lead the development and implementation of transformational solutions combining robotics, computer vision, simulation, and edge AI, while mentoring multi-disciplinary teams.

Responsibilities

• Lead Physical AI strategy and advisory for manufacturing and supply chain clients
• Identify high-value use cases and define value hypotheses and roadmaps
• Own solution shaping and end-to-end architecture spanning sensors, vision, data pipelines, model development, simulation, edge deployment, and operations
• Drive proofs of concept (PoCs) and pilots to measurable outcomes
• Integrate AI with real-world constraints: latency, reliability, safety, OT/IT connectivity, cybersecurity, model drift, human-in-the-loop workflows, and maintenance/operating model considerations
• Partner with alliances and product teams to translate partner platforms into client-ready reference architectures, demos, and repeatable delivery assets
• Influence pursuits and proposals: support scoping, estimating, staffing, risk and assumption framing, and executive-level storytelling
• Serve as technical authority in client workshops and due diligence
• Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision, robotics and controls, manufacturing experts
• Contribute to capability-building and market activation

Requirements

• 10+ years of relevant experience, including client leadership, team leadership, and sustained contribution to business development/pursuits
• Experience in at least two of these domains: Computer vision for industrial environments, Robotics and autonomy, Simulation, digital twins, physics-based modeling, Synthetic data generation, Edge AI deployment
• Manufacturing and supply chain domain experience
• Ability to travel up to 50%
• Legally authorized to work in the United States without employer sponsorship

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10+ years of relevant experience, including client leadership, team leadership, and sustained contribution to business development/pursuits.

Nice to Have

• Experience collaborating with technology partners (e.g., NVIDIA, Siemens, AWS)
• Manufacturing and supply chain technology exposure (sensing, IIoT, process optimization, automation, ML, cybersecurity for OT)
• Demonstrated experience leading client-facing advisory, PoCs, and implementations
• Graduate degree (MS/PhD) in Robotics, Computer Science, Electrical/Mechanical Engineering, Industrial Engineering, Applied Physics, Operations Research, or related field
• Hands-on experience with NVIDIA ecosystem elements and Siemens engineering platforms
• Experience designing governance and operating models for Physical AI in production
• Demonstrated thought leadership: reusable accelerators, reference architectures, demo assets, publications, or enablement
• Business development contribution and executive stakeholder management

Skills

* Required skills