AI Infrastructure Solutions Manager

6 days ago


San Jose, California, United States Cisco Systems, Inc. Full time
Job Overview

Cisco Systems, Inc. is seeking a Senior Product Manager to drive the development and growth of its AI portfolio, focusing on AI/ML infrastructure management, integrations, and scaling AI workloads across hybrid environments.

About the Role

This role will play a pivotal part in shaping the roadmap for AI infrastructure solutions, with a particular focus on enabling GPU workloads, automation, and multi-cloud AI deployments. 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.

Main 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 NVAIE.
  • Drive 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.
Requirements
  • 5 years of product management experience, preferably in cloud infrastructure or AI/ML solutions.
  • 3+ years in engineering roles or related field, with a total of 8-10 years of experience.
  • Bachelor's degree or equivalent experience in computer science or related technical field.

The ideal candidate should have a deep understanding of AI/ML infrastructure management, cloud-native architectures, and hybrid AI deployments. Experience with AI orchestration platforms and familiarity with technologies like Kubernetes, GPU workloads, NVIDIA NVAIE, and public cloud AI services are highly desirable.

Salary

$165,700 - $232,900 per year, depending on location and experience.



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