Senior AI Technical Product Manager

at  Cisco Systems

WHO YOU’LL WORK WITH

We are seeking an experienced Senior AI Technical Product Manager to join the Nexus HyperFabric team. You will work closely with Strategic Partners, Engineering, Product Management, Marketing, Support, Sales, Strategy, Customer Experience, Finance, Legal and Operations teams to support or customers success in the pre and post sales motion.

MINIMUM QUALIFICATIONS:

• 5+ years’ experience in designing, implementing, and managing AI infrastructure solutions.
• 8+ years’ experience as a Product Manager in networking, hardware, software, web, or marketing, AI cloud technologies or products.
• 5+ years’ experience in enhanced Ethernet technologies

PREFERRED QUALIFICATIONS:

• Product Management experience includes end to end knowledge of concept, design, production, testing, forecasting, cost, promotion, support, and end-of-life for Web and AI delivery.
• Proficiency in enhanced Ethernet technologies and experience with PFC configurations.
• Solid background in networking protocols, server architecture, and storage systems.
• Excellent presentation, communication, interpersonal and relationship skills
• Solid understanding of both hardware and software development and product management processes.
• Strong track record of building motivated, collaborative, and productive teams, including remote team members.
• Ability to apply critical thinking to function effectively in ambiguous circumstances.
• Ability to establish credibility and rapport with senior leaders and technical and non-technical team members.
• Bachelor’s or higher degree in a related technical a bachelor’s degree, preferably in IT, computer science, statistics, data science or equivalent experience in hardware and/or software engineering

This pivotal role contributes to our commitment to providing timely and exceptional AI Program and Solutions delivery. Additionally you will take a lead in handling partner concerns through coordination between the Customer, CX, and Engineering when large production issues occur to ensure swift resolution as the business units’ representation. Our goal is to deliver high-value products/solutions to our customers!

• Coordinate all aspects of product management for AI delivery, encompassing concept, design, production, testing, forecasting, cost, promotion support, and end-of-life, while ensuring the delivery of both product and market requirements
• Understand the design and deployment of AI infrastructure solutions using Ethernet to support high-performance computing requirements.
• Collaborate with multi-functional teams to understand AI workload requirements and develop infrastructure solutions tailored to meet those needs.
• Responsible for the strategic management and implementation of marketing activities, including research, planning, and execution, to deliver the operating plan and achieve growth objectives such as market share, revenue, profit, and return on investment across all business channels and key customer categories
• Work with executives and business line partners to define the problems to solve with AI. Develop AI product roadmaps and timelines and help prioritize and rank the solutions, develop project plan.
• Implement and manage enhanced Ethernet technologies to improve network performance and reliability.
• Understand Priority Flow Control (PFC) settings to prioritize critical traffic and ensure efficient data transfer across the network.
• Optimize network and server configurations for maximum throughput, low-latency communication, and scalability.
• Develop a comprehensive governance and review cadence with customers and internal partners to ensure measurable improvements and positive customer impact, including but not limited to Quarterly Executive Reviews and Monthly Executive Meetings focused on assessing quality, delivery, and critical initiatives
• Lead customer delivery engagements and/or provide partner support for large scale solutions and sophisticated issues through deep technical expertise.
• Effectively engage with Engineering and other relevant teams to address problems, identify serviceability issues, and collaborate towards resolving them while understanding the product’s use case and maintaining technical communication with engineering teams.