Remote Senior Product Manager – GPU Products & AI Infrastructure

Senior Product Manager GPU Products & AI Infrastructure

Why 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 Were 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: Bachelors degree in Computer Science Engineering or equivalent deeply technical practical experience

What Youll Do

• GPU Strategy & Vision: Define the product strategy vision and roadmap for next-generation GPU instances high-performance clusters and cloud services. 1 2

• Workload Architecture: Translate complex AI HPC graphics and accelerated-computing workloads into rigid product specifications performance requirements and technical architectures.

• Lifecycle & Investment: Guide the evolution of GPU infrastructure and make data-driven decisions around platform investments resource management and lifecycle management from concept to end-of-life.

• Cloud Economics: Develop advanced business cases financial models pricing strategies profitability analyses and TCO models to aggressively support product investments.

• Ecosystem Partnership: Partner directly with primary GPU technology and ecosystem providers to align roadmaps integrations and bleeding-edge technical requirements.

• Go-To-Market Execution: Develop and execute comprehensive go-to-market strategies including product messaging positioning launch plans and customer engagement alongside sales and solutions engineering.

• User Advocacy: Represent the direct needs of enterprise customers engineers and data scientists by identifying opportunities to improve automation orchestration monitoring and usability.