Physical AI Senior Manager

About This Role

Serve as a functional and domain expert in Physical AI for manufacturing and supply chain operations, driving business transformations through technology, data, and advanced engineering. Lead advisory engagements, proofs of concept, and implementation programs, frequently in partnership with ecosystem alliance providers.

Responsibilities

• Lead Physical AI strategy and advisory for manufacturing and supply chain clients
• Identify high-value use cases, define value hypotheses, and translate to roadmaps and business cases
• Own solution shaping and end-to-end architecture spanning sensors, vision, data pipelines, model development, simulation, edge deployment, and operations (MLOps and ModelOps)
• Drive proofs of concept and pilots to measurable outcomes, defining experiments, data collection plans, and scale plans
• 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, supporting 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 the following domains: computer vision for industrial environments, robotics and autonomy, simulation/digital twins/physics-based modeling for factories, synthetic data generation, or Edge AI deployment
• Manufacturing and supply chain domain experience in areas such as discrete or process manufacturing, quality systems, maintenance and reliability, intralogistics, warehouse operations, plant OT/IT constraints, safety, and compliance
• Ability to travel up to 50%
• Legally authorized to work in the United States without the need for 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) to translate platforms into deliverable architectures and programs
• Manufacturing and supply chain technology exposure in areas such as sensing and IIoT connectivity, process and product optimization, automation and process control, fleet operations, machine learning and data science, 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 relevant to Physical AI and Siemens engineering platforms and tooling
• Experience designing governance and operating models for Physical AI in production
• Demonstrated thought leadership (accelerators, reference architectures, demo assets, publications, enablement)
• Business development contribution (pipeline creation, proposal leadership, account expansion) and executive stakeholder management

Skills

* Required skills