The application window is expected to close on May 31, 2025
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Your Impact
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.
• Driving adoption of AI solutions across various industries.
• Identifying potential clients, understanding their specific needs, and providing tailored AI solutions that align to their business operations.
• Developing and executing a sales strategy to achieve sales targets for AI products and services
• Identifying and prioritizing 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.
Minimum Qualifications:
• 6+ 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/ 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.