Senior Product Manager – Cloud Compute & GPU Infra

Premier Global Links

Cambridge (MA)

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Benefits offered by this job

Healthcare benefits
401(k) savings plan
Paid time off and holidays
Parental and family-friendly benefits
Employee stock purchase plan (ESPP)

Job summary

Premier Global Links LLC seeks a highly technical Senior Product Manager – Cloud Infrastructure & GPU to lead product strategy, roadmap, and development for cloud compute, GPU, and infrastructure platforms.

You will drive requirements across engineering, architecture, sales, customers, and partners to deliver scalable infrastructure products for AI, HPC, enterprise, and cloud workloads.

Qualifications

  • 12+ years of experience in product management, cloud infrastructure, technology, engineering, or related field.
  • Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
  • Strong experience with cloud infrastructure, compute platforms, virtualization, GPUs, or hardware-focused products.
  • Understanding of virtualization technologies such as KVM, VMware, Hyper-V, or Xen.
  • Strong knowledge of CPU/server architecture, Linux, networking, storage, containers, and multi-tenant environments.
  • Experience with GPU architectures, CUDA, AI/HPC workloads, or accelerated computing.
  • Familiarity with Infrastructure as Code tools such as Terraform, Pulumi, Ansible, or CloudFormation.
  • Strong understanding of cloud economics, pricing, utilization, margins, profitability, and Total Cost of Ownership (TCO).
  • Proven experience with product strategy, roadmap development, requirements management, and stakeholder management.
  • Excellent communication skills with the ability to work effectively with highly technical engineering teams and business leaders.

Responsibilities

  • Define product vision, strategy, roadmap, priorities, and requirements for cloud compute and GPU platforms.
  • Translate customer, market, and business needs into product requirements and technical specifications.
  • Partner with Engineering and Architecture teams on CPU/GPU, servers, networking, storage, virtualization, and cloud infrastructure.
  • Manage products across the full lifecycle, from concept and development through launch, optimization, and end-of-life.
  • Develop business cases, pricing strategies, financial models, TCO, margin, and profitability analyses.
  • Develop go-to-market strategies in partnership with Sales, Marketing, and Solutions Engineering.
  • Collaborate with technology partners on product integrations and infrastructure roadmaps.
  • Define APIs, automation, and developer experiences that simplify infrastructure consumption.
  • Establish and monitor product metrics including utilization, adoption, revenue, performance, margins, and profitability.
  • Build alignment across Engineering, Executive Leadership, Sales, Customers, and other stakeholders.
  • Identify market opportunities and emerging technologies in cloud infrastructure, accelerated computing, and AI/HPC.
  • Drive continuous product improvement based on customer feedback, market trends, and performance data.

Skills

cloud infrastructure
compute platforms
virtualization
GPUs
hardware-focused products
CPU/server architecture
Linux
networking
storage
containers
multi-tenant environments
CUDA
AI/HPC workloads
Infrastructure as Code
Terraform
Pulumi
Ansible
CloudFormation
cloud economics
pricing
TCO
product strategy
roadmap development
stakeholder management
communication

Education

Bachelor's degree in Computer Science, Engineering, or related technical field

Tools

Terraform
Pulumi
Ansible
CloudFormation

Job description

Premier Global Links LLC seeks a highly technical Senior Product Manager – Cloud Infrastructure & GPU to lead product strategy, roadmap, and development for cloud compute, GPU, and infrastructure platforms.

You will drive requirements across engineering, architecture, sales, customers, and partners to deliver scalable infrastructure products for AI, HPC, enterprise, and cloud workloads.

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