Senior AI Product Manager - Data Center Engineering and Operations
Nvidia · Remote (United States)
About this role
Nvidia is hiring a senior-level Data Center Engineer in the operations function as a remote position. The posting calls out experience with Agile, ETL, Machine Learning.
- Role
- Data Center Engineer
- Function
- operations
- Level
- senior
- Track
- hybrid
- Employment
- Full-time
- Location
- Remote (United States)
- Work mode
- Remote
- Posted
- May 15, 2026
More roles at Nvidia
Job description
from Nvidia careersJoin NVIDIA as a Senior AI Product Manager - Data Center Engineering and Operations, and contribute to pushing the boundaries of AI technology. This is your chance to create the next generation in managing data center environments with innovative and high-quality AI solutions! The Senior AI Product Manager will guide the entire lifecycle of AI-powered features and workflows within our proprietary software and automation systems. This role emphasizes AI solutions throughout the full data center lifecycle: from capacity and infrastructure planning to equipment procurement, asset intake and tracking, installation, maintenance, and decommissioning. You will join forces with software and data engineers, UI/UX designers, and data center associates. Together, this effort will make AI capabilities visible, trustworthy, and embedded in routine tasks.
What you'll be doing:
Direct the product roadmap for AI features integrated within internal tools across the data center lifecycle (planning, procurement, deployment, operations, and decommissioning). Identify new opportunities to deploy AI solutions using existing data. Prioritize opportunities based on feasibility and impact.
Assemble user requirements for features and improvements driven by artificial intelligence. Conduct discovery sessions with internal collaborators (data center engineers, operations leads, planning/procurement teams) to understand workflows, difficulties, and where AI can help or automate processes.
This is an excerpt. Read the full job description on Nvidia careers →