Wasabi Technologies

Wasabi Technologies

Supply Chain Manager – Commodity Management

United States of America · Mid

Sponsorship not specified$100k-$150kDetected 2 days ago
AWSNegotiationForecastingSupply ChainPerformance Management

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Supply Chain Manager - Commodity Management.
  • Wasabi Technologies is seeking an experienced Supply Chain Manager - Commodity Management to join our growing Operations team.
  • The ideal candidate will bring strong supplier management experience, market intelligence, and the ability to work cross-functionally in a fast-paced technology environment.

Responsibilities

  • Develop and execute commodity and sourcing strategies for technology hardware categories including storage, servers, networking equipment, and related components.
  • Manage supplier relationships, lead supplier business reviews, and track performance against KPIs including cost, quality, delivery, and responsiveness.
  • Monitor market trends, supplier capacity, and pricing conditions to support sourcing decisions and reduce supply chain risk.
  • Partner with Engineering, Operations, and Product teams to support new product introductions, product transitions, and long-term supply planning.
  • Drive cost savings initiatives through supplier negotiations, process improvements, and supply base optimization strategies.
  • Support supply and capacity planning activities, including forecasting, allocation management, and coordination with contract manufacturers and suppliers.

Requirements

  • 3+ years of experience in supply chain, sourcing, or commodity management within a technology or hardware-focused environment.
  • Experience managing technology commodities such as storage systems, servers, networking equipment, or hardware components.
  • Experience supporting supply planning, forecasting, supplier performance management, and cost reduction initiatives.
  • Bachelor's degree in Supply Chain, Business, Engineering, or a related field.

Skills

  • Cloud storage has never been so simple, so fast and so inexpensive.

Compensation

  • Base Salary - $100,000 - 150,000
  • The base salary range reflects the full range for this position at Wasabi Technologies.
  • At Wasabi, we believe in paying fairly and competitively, and individual compensation is determined based on factors such as job-related experience, skills, location, and internal equity.
  • Base pay is just one part of our total rewards approach.
  • Depending on role eligibility, Wasabi team members may also receive additional compensation and benefits, including bonus or variable compensation, equity, and a comprehensive benefits package designed to support both professional growth and personal well-being.

Company info

  • At Wasabi, we're a proven collection of pioneers, visionaries and disruptive doers.
  • It's all part of our vision to make cloud storage the next great global utility, just like electricity.
  • Base pay is just one part of our total rewards approach.

Equal opportunity

  • Wasabi Technologies is an Equal Opportunity Employer.

This listing is sourced directly from Wasabi Technologies's careers page and normalized into a canonical job model.