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.
  • Partner with pre-sales engineering to gather client goals and KPIs.
  • Collaborate with product and engineering teams to influence the product roadmap.
  • Identify and pursue expansion opportunities within existing accounts.
  • Teach new users how to use the product and consult on best practices to drive customer success.

Requirements

  • Previous 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, including feature generation, training, deployment, and batch or real-time scoring via REST APIs.
  • Understanding of GenAI concepts and application evaluation and development lifecycle.
  • Proficiency in a programming language such as Python, JS/TS, Java, or Go.
  • Strong communication skills with the ability to simplify complex technical concepts.
  • Ability to learn quickly and work effectively through technical complexity in production ML deployments.
  • Based in the New York City metro area and/or EST time zone, as the role requires it.
  • Customer-facing experience in roles such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Services is strongly preferred.
  • Previous experience with Kubernetes is preferred.
  • Prior experience demoing technical products to both business and technical audiences is preferred.

Benefits

  • Estimated annual salary and variable compensation of $125,000 to $175,000.
  • Competitive equity package.
  • Medical, dental, and vision coverage.
  • 401(k) plan.
  • Unlimited paid time off.
  • Generous parental leave.
  • Mental and wellness support benefits.
  • WFH monthly stipend for co-working spaces for employees outside the office locations.

Interested in this position?

Apply directly on the company website

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