Arize AI

Arize AI

Arize AI offers a machine learning observability platform that enables practitioners to detect, diagnose, and improve the performance of their models, particularly focusing on enhancing the efficiency and outcomes of large language model applications.

IT Services
51-250
$61M raised

Description

  • Work closely with sophisticated ML and GenAI teams as a trusted technical advisor.
  • Build relationships with technical and business stakeholders across customer accounts.
  • Advise customers on GenAI and machine learning best practices.
  • Deliver ML and LLM product demos to both technical and business audiences.
  • Run strategic business reviews in partnership with the sales team.
  • Interface with the pre-sales engineering team to gather client goals and KPIs.
  • Partner with product and engineering teams to influence the product roadmap.
  • Identify and drive expansion opportunities within existing accounts.
  • Teach new users how to use the product and consult on implementation best practices.

Requirements

  • Experience as a Data Scientist, Machine Learning Engineer, or engineer working with ML models or GenAI applications in production.
  • Comfort working in public cloud environments such as AWS, Azure, or GCP.
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of LLM and agentic frameworks such as LlamaIndex, LangGraph, and DSPy.
  • Understanding of ML/DS concepts, model evaluation strategies, and the full model lifecycle.
  • Understanding of GenAI concepts and the application evaluation and development lifecycle.
  • Proficiency in a programming language such as Python, JavaScript/TypeScript, Java, or Go.
  • Strong communication skills with the ability to simplify complex technical concepts.
  • Ability to learn quickly and work confidently through technical complexity in production ML deployments.
  • Customer-facing experience in roles such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Services is strongly preferred.
  • Experience with applications deployed on Kubernetes is preferred.
  • Experience demoing technical products to both business and technical audiences is preferred.
  • Must be based in Raleigh, New York City, or San Francisco.

Benefits

  • Estimated annual salary and variable compensation of $125,000 to $175,000.
  • Competitive equity package.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan.
  • Unlimited paid time off.
  • Generous parental leave plan.
  • Mental and wellness support benefits.
  • Remote-first work environment with a monthly WFH stipend for co-working spaces.
  • Optional office access in New York City and the San Francisco Bay Area.

Interested in this position?

Apply directly on the company website

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