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Arize AI

AI model observability and evaluation platform

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of enterprise software-as-a-service sales experience.
  • Familiarity with, or willingness to learn, sales technologies used to find and attract prospects.
  • Full-cycle sales experience and the ability to navigate complex enterprise deals.
  • Ability to work as a self-starter in an environment with limited process.
  • Strong communication skills to clearly and objectively communicate observations from the field.
  • Ability to collaborate with peers and other organizations.

Responsibilities

  • Build relationships with artificial intelligence and machine learning stakeholders and participate actively in the community.
  • Conduct discovery with prospects and communicate the company's vision.
  • Develop and execute a prospecting strategy to generate awareness and identify deals.
  • Create sales plays and talk tracks, and identify new business opportunities strategically.
  • Research accounts, stakeholders, and competitors in depth.
  • Manage proof-of-concept engagements, drive adoption, and grow accounts.
  • Coordinate internal and external stakeholders to support customer success.
  • Understand use cases, scope licensing, and identify additional workloads.

Desired Qualifications

  • Use of the BANT or MEDDIC sales methodology is preferred.
  • Previous selling experience in software engineering, data science, or machine learning is a bonus, but not required.

About the Company

Arize AI

AI model observability and evaluation platform

Arize AI provides a platform for AI observability and LLM evaluation that helps top AI teams monitor and improve models across NLP, computer vision, and recommender systems. It works by offering analytics, LLM traces, spans, RAG analysis, and task-based evaluations to troubleshoot issues and measure performance. It differentiates itself by delivering end-to-end observability and evaluation in a single platform with embedding visualization for RAG to pinpoint missing or irrelevant context. Its goal is to help AI teams ensure their models perform optimally and continuously improve their AI systems.

Company size
201-500
Company stage
Acquired
Total funding
$131M
Headquarters
Berkeley, CA
Founded
2020

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