Senior Product Manager – GPU Products, AI Infrastructure

Job not on LinkedIn

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Global Channel Management, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🎯 Recruiter

☁️ SaaS

Consulting • Recruitment • SaaS

Global Channel Management, Inc. is a technology company that specializes in recruiting and staff augmentation services. With over a decade of experience, their account managers and recruiters help organizations address challenges in acquiring skilled talent, manage fluctuating skill needs, and reduce training and labor costs. They focus on providing companies with the best talent to meet various staffing needs and timelines across different verticals.

📋 Description

• Define product strategy, vision, and roadmap for next-generation GPU instances, high-performance clusters, and cloud services • Translate AI, HPC, graphics, and accelerated-computing workloads into product specifications, performance requirements, and technical architectures • Guide GPU infrastructure evolution and make data-driven decisions on platform investments, resource management, and lifecycle management from concept to end-of-life • Develop business cases, financial models, pricing strategies, profitability analyses, and TCO models to support product investments • Partner with primary GPU technology and ecosystem providers to align roadmaps, integrations, and technical requirements • Develop and execute go-to-market strategies, including product messaging, positioning, launch plans, and customer engagement with sales and solutions engineering • Represent enterprise customer, engineer, and data scientist needs by identifying improvements to automation, orchestration, monitoring, and usability

🎯 Requirements

• 12+ years of relevant product management, technology, or engineering experience in massive-scale cloud or hardware ecosystems • Direct, hands-on experience managing GPU cloud infrastructure or accelerated computing products • Strong technical understanding of GPU architectures (e.g., NVIDIA, AMD), CUDA, and accelerated computing platforms • Deep experience with AI/HPC workloads and GPU cluster orchestration, including resource management, fabric, NVLink/InfiniBand interconnects, and large-scale GPU deployments • Proven capability in developing complex business and financial frameworks for infrastructure, including pricing, TCO, or profitability models • Deep knowledge of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure • Strong customer-first mindset with focus on automation, usability, and low-friction integration for data scientists • Exceptional ability to gain buy-in from highly technical engineering teams • Bachelor's degree in Computer Science, Engineering, or equivalent deeply technical practical experience