Cisco AI Account Executive 

United States, Georgia, Atlanta 

393044779

We are seeking a dynamic Account Executive - Artificial Intelligence (AI) to join our strong and strategic sales team. As an AE (AI), you will drive the adoption of our AI solutions across various industries. You willpotential clients, understand their specific needs, and provide tailored AI solutions that align to their business operations. This role requires a deep understanding of AI technologies and a strong ability to translate technical concepts to a diverse audience.

Work With

Who You Are

are able todevelop and execute a sales strategy to achieve sales targets for AI products and servicestarget accounts and developrelationships with key decision-makers and partners.engage with clientsand lead ideation and requirements gatheringdetailed analysis toopportunities for AI solutions

Minimum Qualifications

• 8+ years of technology-related sales or account management experience
• Experience selling AI or machine learning solutions tolarge customers in two or more of the following industry verticals: Manufacturing, Government, Education, Financial Services, Retail or Healthcare.
• Experience working with large, complex sales teams and leading multiple stakeholders to assembleAI/MLsolutions that interact with and enable our customers internal workforce or their end customers
• A validated understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning.
• Experience using CRM software to run sales pipelines and customer relationships.
• Track recordof growing revenue for new innovative technology-based solutions.

Preferred Qualifications

• Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus.
• Excellent verbal and written communication skills.
• Certification in a related field, such as AI, machine learning, or data science.
• Experience withGenerative Artificial Intelligence,deep learning, data science, andthe software ecosystem to support those applications
• Technical Familiarity:
• Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, natural language processing and computer vision
• Understanding of data management concepts, including data warehousing, data lakes and data governance
• Familiarity with data science tools such as TensorFlow,PyTorch, Scikit-learn orKeras
• Familiarity with big data technologies such as Hadoop,Sparkor NoSQL
• Understanding of APIs and integration concepts including RESTful APIs,GraphQLand microservices architecture
• Familiarity with security and compliance requirements for AI/ML solutions including GDPR, HIPAA and PCI-DSS

Nearly everythe Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yethelping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times.

We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big andsmall thingsin life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).

committed to learning, listening, caring for our communities, whilst supporting themost vulnerable with a collective effort to make this world a better place either with technology, or through our actions.