Accelerated Computing Portfolio Lead – AI & HPC Services

Max Corporate Group•Massachusetts, MA

1d•Remote

About The Position

MaxIT Consulting – Max Corporate Group is seeking an experienced Accelerated Computing Portfolio Lead – AI & HPC Services for a leading global technology organization. This role will lead the strategy, development, and lifecycle management of next-generation GPU cloud products and services supporting AI, high-performance computing, graphics, accelerated computing, and enterprise workloads. The ideal candidate combines strong product leadership with deep technical knowledge of GPU infrastructure and the ability to translate complex workload requirements into scalable cloud products and sound business decisions.

Requirements

12+ years of relevant experience in Product Management, Technology, Engineering, or a closely related field.
Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
Strong technical understanding of GPU architectures, CUDA, and accelerated computing platforms.
Experience with GPU resource management and cluster orchestration for AI and high-performance computing workloads.
Knowledge of cloud networking, GPU interconnects, infrastructure redundancy, and large-scale GPU deployments.
Experience developing technical and business models for GPU or cloud products, including pricing, profitability, and TCO analysis.
Understanding of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure.
Proven ability to collaborate with highly technical engineering and data science teams.
Strong product strategy, stakeholder management, and communication skills.
Ability to balance complex technical requirements with customer needs and business objectives.

Nice To Haves

GPU cloud products and services
AI infrastructure
High-Performance Computing
Accelerated computing platforms
Cloud infrastructure
GPU cluster orchestration
Compute platforms
Large-scale distributed infrastructure
Enterprise or hyperscale technology environments
Experience taking a GPU, AI infrastructure, or accelerated-computing product from strategy and roadmap through launch and ongoing optimization will be especially valuable.

Responsibilities

Define the product strategy, vision, and roadmap for GPU instances, clusters, and cloud services.
Align product requirements, positioning, and priorities with customer needs, market trends, and business objectives.
Own the full product lifecycle, from initial planning and launch through optimization and end-of-life.
Develop business cases, financial models, pricing strategies, profitability analyses, and Total Cost of Ownership models.
Develop and execute go-to-market strategies in partnership with sales, marketing, solutions engineering, and technical teams.
Collaborate with GPU technology and ecosystem partners to align product roadmaps, integrations, and technical requirements.
Translate AI, HPC, graphics, and accelerated-computing workloads into product specifications, performance requirements, and infrastructure architectures.
Guide the evolution of GPU infrastructure and support data-driven decisions regarding platform investments and lifecycle management.
Identify opportunities to improve automation, usability, monitoring, support, and operational efficiency for GPU workloads.
Build strong alignment with engineering and data science teams around product goals, technical requirements, and future platform capabilities.