Sales Engineer
Mountain View, CA · On-site
AISquared is seeking a highly motivated Sales Engineer with a strong background in AI infrastructure to join their dynamic team. The role involves driving enterprise sales, supporting both pre-sales ...
Aisquared
3 jobs near Columbus, OH
Sales Engineer
Mountain View, CA · On-site
AISquared is seeking a highly motivated Sales Engineer with a strong background in AI infrastructure to join their dynamic team. The role involves driving enterprise sales, supporting both pre-sales ...
Sales Engineer
Mountain View, CA · On-site
AISquared is seeking a highly motivated Sales Engineer with a strong background in AI infrastructure to join their dynamic team. The role involves driving enterprise sales, supporting both pre-sales ...
Sales Engineer
Mountain View, CA · On-site
AISquared is seeking a highly motivated Sales Engineer with a strong background in AI infrastructure to join their dynamic team. The role involves driving enterprise sales, supporting both pre-sales ...
Machine Learning Engineer
Washington, DC · On-site
Job Summary : aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ...
Machine Learning Engineer
Washington, DC · On-site
Job Summary : aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ...
Sales Engineer
Mountain View, CA • On-site
AISquared
Full-time
Re-posted 11 days ago
Job description
Job Summary:
AISquared is seeking a highly motivated Sales Engineer with a strong background in AI infrastructure to join their dynamic team. The role involves driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to clients.
Responsibilities:
• Leverage 10+ years of experience as a Sales Engineer to drive technical sales processes and customer success.
• Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals.
• Partner with Account Executives to enable account-based marketing and selling (ABM/ABS) strategies.
• Operate as a self-starter, capable of working autonomously with minimal supervision in a fast-paced environment.
• Support pre-sales activities including product demonstrations, proof-of-concepts, RFP responses, and technical deep dives.
• Assist with post-sales enablement to ensure successful deployment and customer satisfaction.
• Provide deep technical knowledge of cloud-native technologies, tools, and architecture best practices.
• Demonstrate a strong understanding of AI and data pipelines, enabling clients to build scalable, intelligent solutions.
Qualifications:
Required:
• Proven experience in technical sales, ideally focused on AI, cloud, or data infrastructure.
• Strong communication and presentation skills with the ability to influence both technical and business stakeholders.
• Deep knowledge of cloud platforms (AWS, GCP, Azure), cloud-native ecosystems (Kubernetes, containers, CI/CD, etc.), and cloud-native AI tools and infrastructure—such as Amazon SageMaker, Google Vertex AI, Azure Machine Learning, Kubeflow, MLflow, and data pipeline orchestration tools like Apache Airflow and Argo Workflows.
• Familiarity with machine learning workflows, MLOps tools, and data engineering best practices.
• A proactive mindset and a customer-first attitude.
Company:
AISquared is a SaaS that provides AI model integration, real-time insights, data analytics, and optimization services. Founded in 2021, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Growth Stage.
AISquared is seeking a highly motivated Sales Engineer with a strong background in AI infrastructure to join their dynamic team. The role involves driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to clients.
Responsibilities:
• Leverage 10+ years of experience as a Sales Engineer to drive technical sales processes and customer success.
• Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals.
• Partner with Account Executives to enable account-based marketing and selling (ABM/ABS) strategies.
• Operate as a self-starter, capable of working autonomously with minimal supervision in a fast-paced environment.
• Support pre-sales activities including product demonstrations, proof-of-concepts, RFP responses, and technical deep dives.
• Assist with post-sales enablement to ensure successful deployment and customer satisfaction.
• Provide deep technical knowledge of cloud-native technologies, tools, and architecture best practices.
• Demonstrate a strong understanding of AI and data pipelines, enabling clients to build scalable, intelligent solutions.
Qualifications:
Required:
• Proven experience in technical sales, ideally focused on AI, cloud, or data infrastructure.
• Strong communication and presentation skills with the ability to influence both technical and business stakeholders.
• Deep knowledge of cloud platforms (AWS, GCP, Azure), cloud-native ecosystems (Kubernetes, containers, CI/CD, etc.), and cloud-native AI tools and infrastructure—such as Amazon SageMaker, Google Vertex AI, Azure Machine Learning, Kubeflow, MLflow, and data pipeline orchestration tools like Apache Airflow and Argo Workflows.
• Familiarity with machine learning workflows, MLOps tools, and data engineering best practices.
• A proactive mindset and a customer-first attitude.
Company:
AISquared is a SaaS that provides AI model integration, real-time insights, data analytics, and optimization services. Founded in 2021, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Growth Stage.