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Tier-1 brand but highly specialized senior AI platform role narrows candidate pool.
High because role demands deep enterprise AI runtime, GPU, Kubernetes, and platform product experience.
High due to explicit 10+ years and mandatory enterprise platform product leadership and domain expertise.
Own product strategy, vision, and roadmap for AI Factory Runtime, Agentic Platform & Compute services across private, public, and hybrid cloud environments.
Productize GPU compute, Kubernetes/OpenShift, model serving, agent runtimes, orchestration, execution, lifecycle management, and platform APIs into enterprise services for engineering teams.
Drive enterprise adoption by defining service models, developer experience, SLAs, and collaborating with cross-functional teams to integrate security, governance, and platform performance improvements.
10+ years in technical product management, platform engineering, cloud infrastructure, architecture, or related leadership roles with significant product ownership or leadership.
Experience owning or shaping enterprise platforms, developer platforms, cloud services, Kubernetes platforms, distributed compute, or agent platforms.
Strong understanding of Kubernetes/container platforms, cloud infrastructure, distributed systems, or GPU/AI compute architectures.
Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Operates with a product mindset focused on transforming complex infrastructure and agent platform capabilities into consumable developer services.
Comfortable navigating between AI workloads, GPU compute, Kubernetes, APIs, developer experience, and executive strategy without being the deepest engineer in each area.
Experienced in influencing senior leaders and driving cross-functional consensus in large, regulated enterprise environments with rapidly evolving technical and customer requirements.