Application window is expected to close by 12/20/2025. Timeline can vary due to the number of qualified applicants.
Although remote, the Account Executive is required to live within the geographic region outlined in the requisition.
Applicants without current or previous AI/ML Datacenter/ Infrastructure experience will not be given consideration for this position.
What You’ll Do
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 will identify potential 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.
Who You Are
You will develop and execute a sales strategy to achieve sales targets for AI products and services and identify and prioritize target accounts and develop relationships with key decision-makers and partners. Engaging with clients to understand their business challenges and conducting detailed analysis to find opportunities for AI solutions are two dynamic skills you will bring to this role. You understand AI technical concepts and translate them into business value for clients.
Minimum Qualifications
- 5+ years of technology-related sales or account management experience
- Experience growing revenue for new innovative technology-based solutions.
- Experience in understanding business issues of large CSP, accelerated Computing/ Data Center technology/ AI? Deep learning & machine learning.
- Experience using CRM software to run sales pipelines and customer relationships.
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.
- Experience engaging with large hyperscalers.
- 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.
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 and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).