AI Cluster Technical Program Manager, Validation, Debug & Agentic AI

What you'll do

• Define and drive program plans for AI infrastructure systems validation, including server integration and rack bring-up.
• Manage core PM artifacts such as schedules, dependency maps, resource forecasts, and risk logs.
• Lead end-to-end delivery of rack-level AI solutions including compute trays, cabling, power, and cooling infrastructure.
• Coordinate multi-node and multi-rack scale testing, including test strategy, scheduling, and coverage tracking.
• Act as the execution lead for platform debug, coordinating cross-functional teams for rapid triage and root-cause analysis.
• Own incident management for critical deployment issues, leading cross-functional war rooms and executive communications.
• Define and track operational metrics such as MTTD, MTTM, and MTTR to improve fleet reliability.
• Drive the development and rollout of Agentic AI solutions for automated triage, log analysis, and incident management.

What we're looking for

• Bachelor’s or master’s degree in systems, EE, CS, or a related engineering discipline.
• PMP, Scrum Master, or equivalent program management training.
• Experience leading complex hardware or AI infrastructure programs across bring-up, validation, and deployment phases.
• Strong technical understanding of GPU-based AI systems, rack architectures, and datacenter infrastructure.
• Proven ability to manage ambiguity, drive debug execution, and lead cross-functional teams without direct authority.
• Proficiency with program management and execution tools such as Jira, Confluence, dashboards, Excel, and PowerPoint.
• Strong written and verbal communication skills, including executive-level status reporting.
• Hands-on experience with GPU cluster scale testing, system stress, or performance validation (preferred).