SECTION I · THE BRIEF
Brief #30766Updated 02 DEC 2025MOUNTAIN VIEW, CAGreenhouseSOFTWARE COMPANIES
Employbl Company Profile

Sales Engineer

AI Squared simplifies & accelerates AI integration to provide increased adoption of AI to impact organizations & lives.

Location
Mountain View, CA
Company size
20–50
Posted
8mo ago
Via
Greenhouse
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Sales Engineer · AI Squared

View company profile
Job title
Sales Engineer
Job location
Mountain View, CA
Job description

About the Role: 


We are looking for a highly motivated  Sales Engineer with a strong background in AI infrastructure to join our dynamic team. In this role, you will play a critical part in driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to our clients. 

Key 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: 

  • 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. 
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AI Squared headquarters

Washington, D.C.

Company size

2050 employees

Founded

2019

Total raised

$19,800,000

View company profile ↗

Funding rounds

  • Series A$13.8M
  • Seed$6M