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Sales Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: AI Squared
Full Time position
Listed on 2026-01-12
Job specializations:
  • Sales
    Technical Sales, Sales Engineer
  • IT/Tech
    Technical Sales, Sales Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 Sage Maker, 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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