Feeny
AI Squared

Sales Engineer at AI Squared (Mountain View, CA)

AI Squared· 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.

Why work at AI Squared

  • Culture: Mission-driven, innovation-first, with a focus on "impact over hype." Values include relentless curiosity and security & trust.
  • Hybrid Work Policy: Flexible model empowering employees to work from home or in offices, with in-person collaboration for key moments of innovation.
  • Offices: Two vibrant hubs — Mountain View, CA (West Coast HQ for engineering, product, and AI research) and Bangalore, India (cutting-edge AI infrastructure development). Also has a Washington, DC office for federal work.
  • Benefits: Comprehensive health coverage (medical, dental, vision), equity & competitive compensation, 401(k) matching, generous unlimited PTO, paid parental leave, wellness reimbursements, and employee assistance programs.
  • Engineering Culture: Focus on building the infrastructure for agentic enterprise AI with a small, fast-growing team (52 employees). Open roles include Backend Engineer, Machine Learning Engineer, Data Scientist, and QA Engineer.

Application questions