FAQs
What are the minimum qualifications for the Senior AI Technical Product Manager role?
The minimum qualifications for this role include 5+ years of experience in designing, implementing, and managing AI infrastructure solutions, 8+ years of experience as a Product Manager in networking, hardware, software, web, or marketing, AI cloud technologies or products, and 5+ years of experience in enhanced Ethernet technologies.
What are the preferred qualifications for the Senior AI Technical Product Manager role?
The preferred qualifications for this role include product management experience with 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, a solid background in networking protocols, server architecture, and storage systems, excellent presentation, communication, interpersonal and relationship skills, a strong track record of building motivated, collaborative, and productive teams, ability to apply critical thinking in ambiguous circumstances, ability to establish credibility with senior leaders and team members, and a Bachelor's or higher degree in a related technical field.
What are some of the responsibilities of the Senior AI Technical Product Manager?
Responsibilities include coordinating all aspects of product management for AI delivery, collaborating with cross-functional teams to develop infrastructure solutions for AI workloads, implementing and managing enhanced Ethernet technologies, optimizing network and server configurations, leading customer delivery engagements, and working with executives to define AI solutions and roadmaps.
How can a Senior AI Technical Product Manager demonstrate success in this role?
A successful Senior AI Technical Product Manager will show measurable improvements and positive customer impact, effectively engage with Engineering and other relevant teams to address problems, maintain technical communication, and develop comprehensive governance and review cadence with customers and internal partners. They will also have a strong track record of building collaborative teams and delivering high-value AI products to customers.