About the Job: The Senior Manager of AI Network Solutions will lead efforts in developing tailored AI connectivity infrastructure proposals. This role involves understanding client needs, especially related to AI workloads, and presenting optimized solutions. The candidate will collaborate with sales teams, data center providers, and technical teams to enhance AI connectivity, analyze use cases, and ensure alignment with overall network strategies. \n\nKey Responsibilities: - Engage with clients to understand their AI-related challenges and opportunities, particularly regarding connectivity requirements. - Develop and present tailored AI connectivity infrastructure proposals that align with customer use cases, focusing on how AI workloads (e.g., GPU, LLM models) can benefit from optimized connectivity solutions. - Work alongside the sales team as a subject matter expert on AI-optimized connectivity during presales activities, helping customers understand the value of the infrastructure. - Collaborate with data center providers, GPU partners, and internal teams (IT/Technology, engineering) to integrate and optimize AI connectivity infrastructure components. - Analyze AI use cases and provide recommendations on appropriate connectivity sizing, ensuring that network performance, bandwidth, and latency align with customer needs. - Support the integration of AI-specific needs into the overall network strategy, ensuring the infrastructure can handle advanced AI workloads. - Monitor advancements in AI infrastructure technologies and integrate them into design and implementation processes. - Work with product management to define and refine AI connectivity infrastructure offerings, ensuring alignment with customer expectations and market trends. - Provide insights on customer feedback, market shifts, and technical innovations influencing the AI connectivity offering. - Ensure alignment with the strategic goals set by the AI Network Solutions Senior Team Lead. \nRequirements & Qualifications: - Bachelor’s degree in computer science, engineering, or a related field. - Minimum of 12 years of experience in network architecture, focusing on AI technologies. - Proven experience in designing and implementing scalable AI networks. - Ability to communicate technical concepts clearly and confidently to both business and technical audiences. - Familiarity with the connectivity needs of AI workloads such as GPU clusters, LLM models, and real-time AI analytics. \nLanguage Requirements: Not explicitly stated, but the ability to communicate technical concepts clearly is necessary. \nNote: We thank all applicants for their interest; however, only those shortlisted for an interview will be contacted. Diversity is our strength, and we encourage all people to apply, regardless of gender, background, age, and abilities. If you require accommodations during the selection process, please email the appropriate contact.
