Supply Chain Manager (Automation & Analytics)

Nscale•Houston, TX

1d•$100,000 - $150,000

About The Position

Nscale is scaling fast — and the hardware that powers our global AI infrastructure needs to keep pace. We're looking for a Supply Chain Manager to help plan, procure, and track GPUs and supporting hardware across our datacenter regions worldwide. You'll work closely with the infrastructure, finance, and commercial teams to turn demand signals and deployment schedules into day-to-day procurement, allocation, and inventory actions. This is a hands-on role for someone who enjoys working with data, solving operational problems, and keeping complex, fast-moving supply chains on track.

Requirements

4–6 years of experience in supply chain management, demand planning, or procurement operations.
Solid understanding of hardware lifecycle basics in capital-intensive environments.
Experience supporting OEM or hardware vendor relationships, including logistics coordination.
Strong Excel skills; comfortable building and maintaining analytical models.
Comfortable writing SQL and working with operational datasets.
Curiosity and hands-on experience using AI tools (e.g., scripting, workflow automation, or AI-assisted analysis) to streamline manual processes.
A clear communicator who can translate data into practical recommendations for cross-functional partners.

Nice To Haves

Exposure to datacenter, cloud infrastructure, or hyperscale environments is a strong plus.
Interest in or exposure to GPU-based supply chains or large-scale hardware procurement.
Familiarity with supply chain planning systems such as SAP, Anaplan, or NetSuite is a plus.
Exposure to BI tools like Looker, Tableau, or Power BI.

Responsibilities

Maintain demand forecasts and supply tracking models.
Translate commercial pipeline signals into procurement requests.
Support allocation decisions across regions.
Track orders through to delivery.
Flag logistics and import/export issues before they become blockers.
Ensure hardware is ready in time for new datacenter launches.
Identify repetitive, manual parts of the supply chain workflow and build simple AI-driven automations and scripts to speed them up.
Build and maintain dashboards for finance and infrastructure teams.
Contribute to capital efficiency analysis to help reduce excess inventory and stranded spend.
Expand automations using AI tools to streamline forecasting inputs, vendor data processing, and recurring reporting.