Cisco’s Intersight team is building the SaaS management capabilities for next generation AI infrastructure. We are seeking to hire a Senior Product Manager to drive the development and growth of Intersight’s AI portfolio, focusing on AI/ML infrastructure management, integrations, and scaling AI workloads across hybrid environments.
Who you are :As a Senior Product Manager, you will play a pivotal role in shaping the roadmap for AI infrastructure solutions, with a particular focus on enabling GPU workloads, automation, and multi-cloud AI deployments. This role will focus on delivering improved AI infrastructure management software to help organizations simplify sophisticated AI workloads and accelerate time-to-market. You will work in collaboration with Engineering and the Office of the CTO to integrate AI software into Intersight, enabling customers to manage and monitor AI infrastructure efficiently.
Key Responsibilities: Lead the design and deployment of AI Converged Infrastructure utilizing Cisco UCS, Cisco Nexus switches, and partner storage components for AI/ML engineers to manage and scale ML models across hybrid environments.Own the automation of Day 0 provisioning for AI/ML environments, ensuring seamless integration with AI stacks like NVIDIA NVAIEDrive the development of AI modeling tool, enabling customers to connect public cloud infrastructure on demand and integrate with on-prem data centers for AI training and inference workloads.Collaborate with cross-functional teams to create and maintain the AI infrastructure roadmap, focusing on Cisco UCS, Nexus, multi-purpose workloads, on-prem and public cloud.Evaluate and drive partnerships with Independent software vendors like RedHat and NVIDIA to enhance Cisco’s AI offerings.Define product positioning, differentiation, and pricing strategies.Partner with marketing and sales teams to drive adoption and awareness of Cisco’s AI infrastructure solutions.Minimum Qualifications 5 years of product management experience, preferably in cloud infrastructure or AI/ML solutions3+ years in engineering roles or related field, with a total of 8-10 years of experienceBachelor’s degree or equivalent experience in computer science or related technical field.Preferred Qualification.
Deep understanding of AI/ML infrastructure management, cloud-native architectures, and hybrid AI deployments.Familiarity with technologies like Kubernetes, GPU workloads, NVIDIA NVAIE, and public cloud AI services.Experience with AI/ML platforms, job scheduling tools (e.g., Slurm, OpenPBS), and managing dense GPU hardware.Ability to craft and execute long-term product roadmaps, balancing short-term objectives with strategic goals.Strong cross-functional collaboration skills to work with engineering, sales, marketing, and external partners.Experience with AI orchestration platformsBackground in working with multi-cloud AI workloads and hybrid cloud solutions.Familiarity with Cisco UCS and Nexus infrastructure is a definite bonus.Why Cisco?
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