Manufacturing ERP & PLM Systems Lead

Fluidstack; Seattle (WA); Presencial; USD 261.000 - 294.000; Jornada completa

Descripción de la vacante

Fluidstack, based in Seattle, is seeking an experienced ERP/MRP deployment lead to own end-to-end implementation across purchasing, inventory, MRP planning, and supplier data.

You will stand up Siemens Teamcenter as our PLM, integrate ERP with PLM, and manage data migration and go-live readiness. You will collaborate with finance, operations, and engineering, articulating tradeoffs clearly, and mentoring a growing systems team as Fluidstack scales manufacturing for AI compute.

Formación

• Led an end-to-end ERP or MRP deployment at a product-focused company.
• Owned NetSuite as a system of record, implemented or expanded it yourself.
• Deployed Siemens Teamcenter or connected a PLM to an ERP, including the BOM handoff and engineering change flow.
• Built systems that buyers and planners used every day, and aligned workflows with how they actually work.
• Owned a system long after go-live and fixed data problems you found.
• Able to explain system tradeoffs to a supply chain lead or CFO to drive a decision.
• Bonus: SAP S/4HANA or Oracle ERP. MES such as Siemens Opcenter or Tulip. Arena or Windchill PLM. Building a small systems team. Data center, energy, or modular construction.

Responsabilidades

• Lead an end-to-end ERP or MRP deployment from selection through data migration to go-live.
• Own NetSuite as the system of record and drive integration with PLM (Siemens Teamcenter) and data flows.

Descripción del empleo

Fluidstack, based in Seattle, is seeking an experienced ERP/MRP deployment lead to own end-to-end implementation across purchasing, inventory, MRP planning, and supplier data.

You will stand up Siemens Teamcenter as our PLM, integrate ERP with PLM, and manage data migration and go-live readiness. You will collaborate with finance, operations, and engineering, articulating tradeoffs clearly, and mentoring a growing systems team as Fluidstack scales manufacturing for AI compute.