Senior AI Product Manager – Data Center Engineering and Operations
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Job Description
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.
Responsibilities:
- 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:
- 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:
- equity
- benefits
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