Remote Senior Product Manager – GPU Products & AI Infrastructure
Remote senior product manager who defines the strategy, roadmap, and technical specs for GPU instances, high-performance clusters, and cloud services serving AI, HPC, graphics, and enterprise workloads. Day to day involves financial/pricing models, GPU ecosystem partnerships, and go-to-market execution.
- Compensation
- Not disclosed
- Location
- Cambridge, Massachusetts, United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Product
- Posted
Skills
Must have
- 12+ years of 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 (resource management, fabric, interconnects like NVLink/InfiniBand, large-scale GPU deployments)
- Proven capability developing complex business and financial frameworks, including pricing, TCO, or profitability models
- Deep knowledge of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure
- Customer-first mindset with focus on automation, usability, and low-friction integration for data scientists; ability to gain buy-in from technical engineering teams
- Bachelor's degree in Computer Science, Engineering, or equivalent deeply technical practical experience
Full description
Senior Product Manager – GPU Products & AI InfrastructureWhy This Opportunity?
This is an opportunity to shape the future of AI and accelerated computing in the cloud. You will play a pivotal role in defining the GPU products, clusters, and services designed to support demanding AI, HPC, graphics, and enterprise workloads at a global scale. Working at the intersection of product strategy, AI infrastructure, cloud computing, and advanced GPU technology, you will partner with engineering and industry technology leaders to bring innovative, foundational products to market
What We're Looking For (Required & Elite Qualifications)
To land this role, you must possess a rare blend of deep hardware-level intelligence and hyperscale product management acumen. We are filtering for candidates who meet the following high-bar criteria:
- Professional Experience:
12+ years of relevant product management, technology, or engineering experience in massive-scale cloud or hardware ecosystems.
- Target Domain Expertise:
Direct, hands-on experience managing GPU cloud infrastructure or accelerated computing products.
- AI & Accelerated Computing:
Strong technical understanding of GPU architectures (e.g., NVIDIA, AMD), CUDA, and accelerated computing platforms.
- Cluster Orchestration:
Deep experience with AI/HPC workloads and GPU cluster orchestration
(including resource management, fabric, interconnects like NVLink/InfiniBand, and large-scale GPU deployments).
- Financial Mastery:
Proven capability in developing complex business and financial frameworks for infrastructure, including pricing, TCO, or profitability models.
- Advanced Infrastructure Literacy:
Deep knowledge of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure.
- Execution & Leadership:
A strong customer-first mindset with a hyper-focus on automation, usability, and low-friction integration for data scientists. Exceptional ability to gain buy-in from highly technical engineering teams.
- Education: Bachelor's degree in Computer Science, Engineering, or equivalent deeply technical practical experience