Cisco Product Manager 

United States, California, San Jose 

286842384

Develop detailed technical product requirements and prioritize feature development in collaboration with engineering, UX, marketing, and other multi-functional teams.

Define and drive the implementation of critical AI/ML networking protocols—such as PFC, ECN, and RoCEv2—along with broader UEC features, working closely with engineering to deliver innovations that enhance Nexus’s performance, scalability, and reliability for converged and AI/ML workloads.

Conduct competitive analysis and market research to identify emerging trends and inform product differentiation strategies.

• Bachelor’s degree in business, engineering, computer science, or related field, or equivalent product management experience.
• At least 5 years of engineering product management experience, including ownership of product strategy, execution, and roadmap delivery.
• Demonstrated track record of delivering AI/ML networking features—such as PFC, ECN, RoCEv2, and UEC, through close multi-functional collaboration.
• Proven track record to engage and influence field teams, customers, and partners to drive increased adoption of AI/ML networking solutions.
• Minimum 2 years’ professional experience using product management and project management tools (e.g., Jira, Aha, Microsoft Office Suite).

• Master’s degree in engineering, computer science, or related field with focus on product development, design, AI/ML technologies
• Experience in the data center industry, particularly in managing data center products and solutions with in-depth knowledge of data center technologies, industry trends, and customer requirements
• Domain expertise in Data Center Switching Hardware, Networking, Automation, Analytics, AI/ML & SaaS; mastery of technical concepts and system-design, ability to participate in technical discussions and help make technical trade-offs
• Proficient communication and presentation skills, capable of effectively conveying technical concepts to both technical and non-technical audiences
• Strong analytical and problem-solving skills with a data-driven approach.