Senior Product Manager, AI Infrastructure and Solutions

What you'll do

• Define system-level product requirements for hardware and software integration across the entire technology stack.
• Translate customer and segment needs into a prioritized, workload-grounded requirements backlog.
• Manage cross-functional dependencies across silicon, firmware, software stacks, and partner ecosystems.
• Establish performance targets and benchmarking methodologies to ensure reproducible results.
• Provide "product truth" for sales and marketing teams regarding supported configurations and known limitations.
• Triage post-launch field feedback to prioritize hotfixes and inform future product roadmaps.
• Maintain stakeholder alignment by communicating risks, decisions, and status updates to executive leadership.

What we're looking for

• Bachelor's degree in Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical field is strongly desired.
• An MBA or Master's degree in Engineering, Computer Science, or a related field is preferred.
• Experience in Product Management, Solutions Product Management, Technical Product Management, or Systems Engineering is required.
• Experience with data center infrastructure, AI/ML platforms, HPC systems, or enterprise solutions is preferred.
• Experience defining and launching system-level solutions involving hardware, firmware, drivers, software frameworks, and partner ecosystems is required.
• Knowledge of platform/system architecture, including power, thermals, topology, I/O, networking, memory, and RAS is preferred.
• Knowledge of firmware/driver and software stack dependencies and benchmarking methodology is preferred.
• Ability to communicate effectively with executive audiences and drive alignment across teams without formal authority is required.