Product Manager GPUaaS

About the role

We are seeking an experienced Product Manager to lead our GPU-as-a-Service product development initiatives. The ideal candidate will have 5+ years of experience, with a strong background in developing infrastructure provisioning/orchestration, virtualisation, and AI applications. 

Location: Bangalore, India

What You'll Do (Key Responsibilities)

• Develop and define Infrastructure-as-a-Service and Platform-as-a-Service product roadmap for GPU infrastructure provisioning and orchestration
• Define and prioritize features for secure multi-tenant GPU infra provisioning, Baremetal/VM/Kubernetes/Container/SLURM as-a-service offerings and AI/ML/HPC workload management
• Develop differentiating product requirements and specifications based on customer needs and market demand. 
• Work closely with UX/UI design team to craft intuitive and streamlined experiences. 
• Collaborate with cross-functional teams, including engineering, design, and marketing, to ensure successful product delivery. 
• Conduct market research and competitor analysis to identify trends and opportunities in GPU computing and AI infrastructure
• Define and track key product metrics (adoption, utilization, customer satisfaction)
• Work closely with engineering teams throughout technical design, implementation, launch and operation of features and capabilities. 
• Develop internal and external documentation, including how-to guides, best-practice whitepapers, and API references.
• Conduct product demos for external parties such as customers, partners, and investors, and to CXO level audience within the company. 
• Stay updated on emerging technologies in GPU computing /storage /networking, NVIDIA and partner ecosystems, edge computing, and AI/ML infrastructure patterns. 

Required Qualifications

• Bachelor’s or master’s degree in computer science, engineering, or a related field.
• Strong expertise in crafting intuitive UX for complex software solutions. 
• Excellent stakeholder management, communication and presentation skills 
• Experience working with global companies across time zones 
• 5+ Experience with any of the below as a Product Manager:
• Cloud Infrastructure, Data Center or Edge computing, Storage, Networking
• Understanding of Kubernetes, containers, and virtualization technologies, with the ability to partner closely with engineering
• AI/ML platform products, model training infrastructure, or inference serving systems.

Preferred Qualificatio