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Cisco Regional Sales Manager 
United States, Georgia, Atlanta 
977548613

Today

The application window is expected to close on: May 28, 2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Your Impact

As the Regional Manager you will lead our efforts in the rapidly growing "Rest of Cloud" (RoC) segment within the Artificial Intelligence (AI) market. You will be responsible for driving the adoption of Cisco's AI infrastructure and networking solutions to Cloud Service Providers (CSPs) and emerging AI providers, including AI-native cloud builders, AI SaaS providers, and AI System Integrators. This role requires a strong understanding of both AI infrastructure and networking technologies, as well as the ability to translate technical concepts into compelling business value for our clients. You will lead a team of sales specialists to develop, drive, and close sophisticated deals specific to Rest of Cloud offers, working across both the Cloud + AI Infrastructure (CAI) and Internet and Mass-Scale Infrastructure (I&MI) teams.

  • Lead the team that will develop and execute a sales strategy to achieve sales targets for CAI and large scale networking products and services within the RoC.
  • Manage sales specialists focused on AI infrastructure, compute, data center networking, routing, and optical solutions.
  • Identify and prioritize target accounts within the emerging AI provider landscape and develop relationships with key decision-makers, making recommendations on companies to be added to formal RoC coverage.
  • Engage with clients to understand their business challenges and needs related to common workloads like Virtualization and AI.
  • Identify and engage with Venture Capitalists (VCs) funding NEOCloud builders to develop an infrastructure investment strategy/plan.
  • Engage in large opportunity development, requiring creative packaging/solutioning/funding.
  • Drive sales of optics, service provider routing, optical, and automation solutions to new providers building large-scale (AI) networks.
  • Lead emerging providers through major network architecture transitions to support AI service offerings.
  • Work closely with cross-functional teams, including marketing, engineering, product development, channel and solutions partners, and customer success, to align sales strategies and improve customer experiences.
Minimum Qualifications:
  • 10+ years of experience in technology sales, preferably with a focus on Compute, Data Center Networking, Storage Area Networking, Routing, Optical, and workloads like AI, Virtualization, Bare Metal, or related fields.
  • 3+ years of experience directly running a technology sales team and leading cross-functional teams, or a consistent record to lead a team of specialists.
  • Validated knowledge of industry trends such as new workloads like AI technology, including machine learning, natural language processing, and computer vision.
  • Experience unlocking revenue for new, innovative technology-based solutions.
  • Experience understanding the business issues of Cloud Builders and Providers, Networking Infrastructure / accelerated Computing/ Data Center technology/ Deep learning & machine learning.
  • Proven track record to work cross-functionally with Engineering and Marketing to develop and launch new AI or Networking Infrastructure offers.
  • Travel as needed to meet with clients and attend industry events.
Preferred Qualifications:
  • Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus.
  • Ability to understand technical concepts and translate them into business value for clients.
  • Experience bridging large-scale networking concepts with AI infrastructure (data center / compute).
  • Experience with deep learning, data science, and NVIDIA GPUs.
  • Experience in two or more data estate workloads such as: Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL or HDInsight, etc.), AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR or Cloudera/Hortonworks, etc.
  • Understanding of and experience with automation and assurance solutions.
  • Working autonomously in a large, matrixed organization.