Compute Software Engineering Product Manager

Cisco - San Jose, CA

Full-time - Mid Level

San Jose, CA

Computer and Electronic Product Manufacturing

About the position

As a Senior Product Manager at Cisco's Intersight team, you will be instrumental in shaping the roadmap for AI infrastructure solutions, focusing on AI/ML infrastructure management, automation, and multi-cloud deployments. This role involves collaborating with engineering teams to enhance AI software capabilities, enabling customers to efficiently manage and monitor their AI infrastructure. You will lead the design and deployment of AI converged infrastructure, ensuring seamless integration and improved management of sophisticated AI workloads.

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.

Nice-to-haves

• 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 platforms.
• Background in working with multi-cloud AI workloads and hybrid cloud solutions.
• Familiarity with Cisco UCS and Nexus infrastructure is a definite bonus.

Benefits

• Medical, dental, and vision insurance
• 401(k) plan with Cisco matching contribution
• Short and long-term disability coverage
• Basic life insurance
• Numerous wellbeing offerings
• Up to twelve paid holidays per calendar year
• One floating holiday and a day off for birthday
• Accrual of up to 20 days of Paid Time Off (PTO) each year
• Paid time away for critical or emergency issues
• Additional paid time to volunteer
• Employee Stock Purchase Program