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Metro Bangalore, popular product role and hybrid workplace increase applicant density despite seniority.
Specialized AI infrastructure, cluster management, and HPC experience required limits cross-industry transferability.
Explicit 10–16 year requirement plus domain-specific AI/HPC and Kubernetes experience narrows candidate pool.
Lead strategy, roadmap, and execution for ClusterWareAI, software enabling provisioning, orchestration, and lifecycle management of AI/HPC clusters within the AI Factory Platform.
Define product requirements from customer needs and collaborate with engineering to deliver features such as cluster provisioning, workload scheduling, monitoring, and capacity management.
Engage with customers, partners, and go-to-market teams to validate product direction, support positioning, and drive adoption of AI cluster management solutions.
Bachelor’s degree in Computer Science, Engineering, or related field; MBA preferred.
5+ years product management experience in enterprise or infrastructure software.
Strong understanding of distributed systems, cluster management, or cloud platforms; experience with AI/ML infrastructure, HPC, or Kubernetes ecosystems.
Location requirement: Hybrid role based in Bangalore, India.
Experienced in managing complex AI infrastructure or HPC related products, comfortable working at the intersection of distributed systems and AI workloads.
Capable of translating customer technical needs into scalable product solutions, balancing engineering collaboration and business strategy.
Familiarity with hyperscalers, Kubernetes, GPU computing, and AI model training/inference environments is advantageous.