Materials and Product Lifecycle Program Manager

The role

You will own the lifecycle of hardware procured and deployed across data centers. You will manage part numbers, structure assembly BOMs, and translate deployment plans into material requirements.

What you will do

• Own the full part lifecycle including new part introduction, active production, end of life, and obsolescence
• Monitor manufacturer EOL notices and product change notifications
• Manage excess and obsolete inventory
• Create internal part numbers and map them to manufacturer part numbers
• Define and enforce part data standards
• Read and interpret component datasheets and spec sheets
• Build and maintain multi-level BOMs
• Audit BOMs and reconcile them against purchases and deployments
• Control BOM releases and revisions through the engineering change process
• Translate deployment plans into time-phased material requirements and purchasing priorities

Required qualifications

• 5+ years of experience in product lifecycle management, BOM management, materials planning, or hardware operations
• Hands-on experience creating internal part numbers and structuring multi-level BOMs
• Strong understanding of revision control, engineering change processes (ECR/ECO), and AML/AVL management
• Ability to read and interpret datasheets and spec sheets for hardware such as servers, networking gear, power, cabling, and optics
• Experience managing EOL notices, PCNs, last-time buys, and excess and obsolete inventory
• Experience translating changing deployment schedules into material plans, and managing long-lead components and shortages
• Strong analytical skills
• Advanced spreadsheet experience
• Hands-on use of PLM systems (such as Arena, Agile, or Windchill)
• Hands-on use of ERP systems (such as NetSuite, SAP, or Oracle)

Nice to have

• Experience supporting data center, compute, networking, server, semiconductor, or other complex hardware deployments
• Experience building a part numbering system, BOM standards, or PLM process from scratch in a fast-scaling company
• Experience implementing, migrating, or improving PLM and ERP systems
• Experience working across multiple suppliers, contract manufacturers or ODMs, deployment sites, and hardware configurations
• An APICS/ASCM certification such as CPIM or CSCP

About the company

Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference. They combine large-scale compute infrastructure with an execution platform that partitions AI workloads.