Note: The job is a remote job and is open to candidates in USA. The client is seeking an experienced product leader to shape next-generation GPU cloud products and services. The role owns product strategy, roadmap, lifecycle management, business modeling, go-to-market execution, and cross-functional alignment for GPU instances, clusters, and accelerated-computing services.
Responsibilities
- Define the product strategy, vision, and roadmap for GPU instances, clusters, and cloud services
- Align product positioning, requirements, and priorities with customer needs, market trends, and business objectives
- Manage the full product lifecycle, from initial planning and launch through ongoing optimization and eventual end-of-life
- Develop business cases, financial models, pricing strategies, profitability analyses, and TCO models to support product investments and decisions
- Develop and execute go-to-market strategies, including product messaging, positioning, launch plans, and customer engagement in partnership with marketing, sales, and solutions engineering
- Partner with GPU technology and ecosystem providers to align roadmaps, integrations, and technical requirements
- Translate AI, HPC, graphics, and other accelerated-computing workloads into product specifications, performance requirements, and technical architectures
- Guide the evolution of GPU infrastructure and make data-driven decisions around platform investments and lifecycle management
- Represent the needs of customers, engineers, and data scientists by identifying opportunities to improve usability, automation, monitoring, support, and maintenance processes
- Build strong relationships with engineering teams and secure alignment around product goals, technical requirements, and future GPU capabilities
Skills
- Skills: GPU cloud infrastructure or accelerated computing, including GPU architectures/CUDA, AI/HPC workloads, GPU cluster orchestration, and developing pricing, TCO, or profitability models
- Experience level: Mid-senior
- Experience required: 12 Years
- Education level: Bachelor's degree
- 12+ years of relevant product management, technology, or engineering experience and a bachelor's degree in computer science, Engineering, or equivalent 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 both technical and business models for GPU/cloud products, including pricing, profitability, and Total Cost of Ownership (TCO) analysis
- Understanding of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure
- A strong customer-first mindset, with a focus on automation, usability, and low-friction integration for GPU workloads
- Proven ability to collaborate with highly technical engineering and data science teams and gain buy-in for new product initiatives
- Strong communication, strategic thinking, and stakeholder management skills
- Ability to balance complex technical requirements with customer needs and business objectives
Benefits
- Remote position offering flexibility
- Opportunity to work with a highly distributed team
- Employees can work in the environment where they can do their best work
Company Overview
Company H1B Sponsorship