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Arize Logo Arize · Sales

Ai Sales Engineer

Singapore 140000.00 - 200000.00 USD / Year · Job Posted January 20, 2026
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Job Description

You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept.

Job Responsibility

  • Build relationships with technical stakeholders
  • Lead product demonstrations of the Arize platform
  • Lead discovery to understand prospect’s ML stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
  • Handle technical objections and develop strategies across sales, engineering, and product to unblock them
  • Write educational and compelling blog posts about ML and MLOps related topics
  • Collaborate to create and enhance documentation, recorded video assets and other publically available as well as internal enablement materials
  • Engage in relevant ML communities online to raise awareness on challenges of deploying ML in production

Requirements

  • Strong Communication Skills: You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly
  • Ability to simplify complex, technical concepts
  • A quick and self learner: You are undaunted by the technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV
  • You ask the right questions with the customer to uncover nuances in their unique deployments
  • Ability to work within ambiguity and take action with limited direction
  • Knowledgeable in Machine Learning: You may not have a PhD in ML but you know the difference between Linear Regression and Boosted Trees and the advantages / disadvantages of each
  • You have some experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc
  • 5+ years within customer facing role: Pre-sales, technical account management, or consulting experience
  • Worked with customers within the high enterprise (e.g. Fortune 500, etc)
  • Proficiency in: Python
  • Linux/Unix

Nice to have

  • Previous experience working across and aligning Sales, Product, and Engineering
  • Previous experience within a team that underwent a high growth stage
  • Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure

What we offer

  • medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
  • competitive equity package
  • WFH monthly stipend to pay for co-working spaces
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