Role OverviewThis 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.
What You Will Do
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. Develop business cases, financial models, pricing strategies, profitability analyses, and Total Cost of Ownership models.
Why It Might Be a Fit
The successful candidate will be able to demonstrate ownership of at least one GPU, cloud compute, AI infrastructure, or accelerated-computing product or platform. Relevant accomplishments may include launching GPU instances, clusters, or cloud services, defining GPU infrastructure roadmaps, supporting AI or HPC workloads at scale, and improving GPU utilization or platform efficiency.
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.
Benefits
- Healthcare benefits
- 401(k) savings plan
- Annual bonus or incentive opportunities
- Equity awards
- Employee Stock Purchase Plan
- Paid holidays and PTO
- Sick leave
- Parental and family-friendly benefits
- Employee assistance programs
- Mental and financial wellness resources
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