Sales Engineer

AI Squared; Mountain View (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A tech-focused company in Mountain View is seeking a highly motivated Sales Engineer with extensive experience in AI infrastructure to join their dynamic team. This role involves driving enterprise sales, supporting pre-sales and post-sales activities, and collaborating with account executives to deliver innovative solutions. Candidates should possess deep technical knowledge of cloud platforms and AI tools, with strong communication skills to influence both technical and business stakeholders. A proactive mindset and customer-first attitude are essential.

Qualifications

• 10+ years of experience as a Sales Engineer.
• Proven track record in AI, cloud, or data infrastructure sales.
• Strong knowledge of cloud platforms and AI tools.

Responsibilities

• Drive technical sales processes and ensure customer success.
• Partner with Account Executives for account-based selling.
• Support pre-sales and post-sales activities.

Skills

Sales process expertise

Technical communication

Cloud-native technologies

Customer-first attitude

Machine learning workflows

Tools

AWS

GCP

Azure

Kubernetes

Apache Airflow

MLflow

Job description

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.