Sr Digital Product Manager- Physical AI

World Wide Technology is a global technology solutions provider leading the AI and Digital Revolution. The Senior Product Manager will own key product areas and lead the strategy, roadmap, and delivery of Physical AI capabilities, collaborating with cross-functional teams to define product direction and deliver innovative solutions.

Responsibilities:

• Develop and Maintain Physical AI product roadmap across digital twins, perception (computer vision), automation/robotics, and real-time systems prioritizing features and initiatives
• Partner with cross-functional teams to define product requirements, system capabilities, and acceptance criteria
• Translate real-world operational needs into end-to-end workflows
• Drive requirements for simulation & digital twin environments to accelerate validation, deployment, and iteration
• Conduct market research and competitive analysis across robotics platforms, CV toolchains, digital twin ecosystems, and edge AI
• Collaborate with marketing and sales to develop value narratives, demos, and pilot-to-scale playbooks for Physical AI deployments

Requirements:

• Bachelor's degree required (Computer Science, Engineering, Robotics, Systems, or related preferred)
• 10+ years progressive experience in product management, solution design, or technology delivery, including AI-enabled products
• 3–5+ years leading cross-functional teams delivering complex, multi-system products (software + hardware/sensors)
• Proven track record of establishing and growing high-value relationships and partnerships with customers
• Experience presenting/pitching strategic recommendations and complex concepts to IT and business leaders
• Experience leading transformation programs that include real-time data, sensors/IoT, automation, and AI/ML (not just web/mobile)
• Deep experience leading diverse teams across engineering, design, data/ML, and operations through the product lifecycle
• Strong grasp of computer vision fundamentals (detection, segmentation, tracking), model evaluation, and production considerations (drift, monitoring, retraining)
• Familiarity with digital twin concepts (asset models, spatial/3D context, simulation, interoperability) and how they support decisioning and operations
• Familiarity with robotics/automation workflows (task definition, autonomy levels, safety constraints, human-in-the-loop operations)
• Agile delivery experience, with comfort operating in R&D-heavy environments (experimentation, prototyping, iterative validation)
• Contribution to project financials/budget tracking and understanding of P&L
• Master's degree a plus (AI/ML, Robotics, Computer Vision, Systems Engineering, HCI)