Product Manager - AI GPU Solutions Job at Sproutup, Wisconsin

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  • Sproutup
  • Wisconsin

Job Description

Overview

Sprout is a global IT hardware retirement provider for hyperscaler and enterprise clients. We leverage a nationwide footprint (and international partner network) combined with proprietary software to enable efficient end‑to‑end IT asset disposition (ITAD) with a focus on data‑bearing devices from the client to the cloud. The company is headquartered in Charlotte, NC with additional operations near Sacramento, Dallas, and Boston. Sprout provides software and services to clients in the form of our IT Asset Disposition, Certified Destruction, and Responsible Recycling solutions.

Since our founding as an electronic waste startup from a Duke University dorm room in 2014, we have been expanding at an average rate of >66% each year. By adhering to our 3 values (One Sprout, Deliver Excellence, and Integrity Matters), we are proud of our culture to move at #SproutSpeed to become the emerging leader in our industry. For more information, please visit:

Sprout is building the world’s most efficient circular GPU supply chain. Our clients hyperscalers, neoclouds, and AI innovators — rely on us to deliver performance‑tested, certified GPU systems at scale. We’re looking for a Product Manager who sits at the intersection of technology, commerce, and operations — someone who can translate client workloads into system configurations and inventory strategy. This is a high‑visibility, builder role central to Sprout’s Circular‑as‑a‑Service (CaaS) strategy.

Responsibilities

  • Define and maintain Sprout’s GPU product catalog (training, inference, hybrid, and HPC configurations).
  • Collaborate with Sales on customer solutioning calls — translate workload requirements into hardware builds and quotes.
  • Partner with AI Server Engineer to validate configurations and ensure performance readiness.
  • Manage inventory strategy — decide what stays in stock and what’s built to order, informed by market demand. Make decisions regarding “run rate” business vs “on demand” business as it relates to stock of both systems & parts.
  • Communicate with Operations and Supply Chain to manage vendor allocations and availability.
  • Track product‑level performance: ASP, margin, sell‑through velocity.
  • Build internal configuration templates and documentation.
  • Contribute to market intelligence — emerging GPUs, chipsets, and AI server trends.
  • Work with OBS and OPS to define Tier 1 (Circle IT) selling to end users with NVIDIA limited warranty. In the same way help define Tier 2 (no NVIDIA warranty) and Tier 3 (no warranty and cosmetics). Work with OBS & OPS to define below cut‑line GPU systems, including the server & GPUs.

Qualifications

  • 5–10 years in product management, technical sales, or solutions architecture.
  • Strong understanding of GPU systems, AI/ML workloads, and hardware configurations.
  • Commercial fluency — pricing models, inventory turns, margin levers.
  • Ability to translate technical language into business value.
  • Experience collaborating with engineering and field operations.
  • Passion for efficiency, reusability, and sustainability.
  • Experience at a systems integrator, VAR, or GPU reseller.
  • Familiarity with NVIDIA, AMD, or Intel data‑center architectures.
  • Proven ability to launch new product lines.
  • Excitement for circular economy innovation.
  • Systems integrator/VAR experience; NVIDIA/AMD/Intel DC familiarity; track record launching new product lines.
  • Existing network of GPU or AI hardware buyers/sellers.

EEO – Equal Employment Opportunity

The Company is an equal opportunity employer and does not discriminate on the basis of race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification).

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Job Tags

Full time,

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