Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Senior AI Product Manager – Data Center Engineering and Operations

NVIDIA

Senior AI Product Manager guiding the lifecycle of AI solutions in data center operations. Collaborating with engineers and designers to embed AI capabilities in internal tools.

Posted 5/16/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $208,000 - $327,750 per yearWebsite

About the role

Key responsibilities & impact
  • 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.
  • Transform these insights into detailed product requirements and user stories, for AI features.
  • Work closely with development and UX teams to guarantee AI functions are easily comprehended within existing internal tools and dashboards.
  • Incorporate clear confidence indicators, explanations, and controls.
  • Establish and sustain effective feedback channels with internal users.
  • Identify user-facing controls and review procedures suitable for operational settings (e.g., suggestions needing human approval, override/rollback options, feedback on inaccurate recommendations).

Requirements

What you’ll need
  • BS or MS degree in Computer Science, Computer Engineering, or equivalent experience.
  • 12+ years in product management, software engineering or similar roles at a technology company serving enterprises
  • Practical experience with AI/ML application techniques.
  • Experience working with Data Center Engineering and Operations infrastructure, data, and automated workflows
  • Background with managing vendor data pipelines such as ASN solutions and shop floor configuration details
  • Experience using AI coding tools like Cursor for prototyping
  • Proven success in leading engineering efforts using Agile sprints

Benefits

Comp & perks
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI featuresAI solutionsproduct managementsoftware engineeringAI/ML application techniquesdata center engineeringautomated workflowsvendor data pipelinesAgile sprintsuser stories
Soft Skills
collaborationcommunicationleadershipproblem-solvinguser requirements gatheringfeedback managementprioritizationinsight transformationworkflow understandingcontrol identification
Certifications
BS in Computer ScienceMS in Computer ScienceBS in Computer EngineeringMS in Computer Engineering