Senior Product Manager

Premier Global Links•Cambridge, MA

About The Position

Premier Global Links LLC is seeking an experienced Senior Product Manager – GPU Products to lead the strategy, development, and lifecycle management of next-generation GPU cloud products and services. This role is ideal for a technically strong product leader with experience in GPU infrastructure, AI/ML workloads, high-performance computing (HPC), CUDA, accelerated computing, and cloud platforms. You will work closely with Engineering, Data Science, Sales, Marketing, Solutions Engineering, customers, and technology partners to build scalable GPU products for demanding AI, HPC, graphics, and enterprise workloads.

Requirements

12+ years of experience in product management, technology, engineering, or a related technical field.
Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
Strong understanding of GPU architectures, CUDA, and accelerated computing platforms.
Experience with GPU resource management and cluster orchestration for AI or high-performance computing workloads.
Knowledge of cloud infrastructure, networking, GPU interconnects, infrastructure redundancy, and large-scale GPU deployments.
Experience developing business and technical models for GPU or cloud products, including pricing, profitability, margins, and TCO analysis.
Understanding of AI workload patterns and requirements for enterprise GPU infrastructure.
Knowledge of hardware-level APIs or interfaces related to GPU infrastructure.
Proven experience developing product strategy, roadmaps, requirements, and lifecycle plans.
Strong ability to collaborate with highly technical Engineering and Data Science teams.
Excellent communication, strategic thinking, problem-solving, and stakeholder management skills.
Ability to balance complex technical requirements with customer needs and business objectives.

Nice To Haves

Experience with cloud-based GPU products, GPU-as-a-Service (GPUaaS), or accelerated computing platforms.
Experience supporting AI/ML, deep learning, generative AI, or HPC workloads.
Experience with large-scale GPU clusters and distributed computing environments.
Experience with GPU orchestration, resource scheduling, monitoring, or automation.
Experience launching and scaling highly technical infrastructure products.
Experience working with GPU manufacturers, technology vendors, cloud providers, or infrastructure partners.

Responsibilities

Define product vision, strategy, roadmap, priorities, and requirements for GPU cloud products and services.
Lead the product lifecycle from concept and development through launch, optimization, and end-of-life.
Translate customer requirements and AI/HPC workload needs into product specifications and technical requirements.
Develop GPU instance, cluster, and cloud service offerings based on market demand and technology capabilities.
Partner with Engineering to define GPU infrastructure, platform capabilities, integrations, automation, and performance requirements.
Collaborate with GPU technology and ecosystem partners on roadmaps, integrations, and technical requirements.
Develop pricing strategies, business cases, financial models, profitability analyses, and Total Cost of Ownership (TCO) models.
Partner with Sales, Marketing, and Solutions Engineering on product positioning, messaging, go-to-market strategy, and customer engagement.
Analyze GPU utilization, workload patterns, customer feedback, performance, and market trends to guide product decisions.
Identify opportunities to improve GPU platform usability, automation, monitoring, support, and operational efficiency.
Build alignment among Engineering, Data Science, Executive Leadership, Sales, customers, and technology partners.
Evaluate emerging GPU and accelerated-computing technologies and recommend future product investments.