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Arize AI

AI model observability and evaluation platform

Commercial Account Executive - Digital Native

Account ExecutiveConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of SaaS sales experience.
  • Familiarity with sales technologies to find and attract prospects, or willingness to learn them.
  • Full-cycle sales experience and ability to navigate complex enterprise deals.
  • Ability to work independently in a limited-process environment.
  • Ability to communicate observations from the field clearly and objectively.
  • Ability to collaborate with peers and other organizations.

Responsibilities

  • Build relationships with AI and machine learning stakeholders and participate actively in the community.
  • Conduct discovery with prospects and share the Arize vision.
  • Run a prospecting strategy to build awareness and find deals.
  • Create sales plays and talk tracks, and strategically identify new business opportunities.
  • Research accounts, stakeholders, and competitors deeply.
  • Manage proof of concepts, drive adoption, and grow accounts.
  • Manage and navigate internal and external stakeholders to ensure success.
  • Understand use cases, scope licensing, and identify additional workloads.

Desired Qualifications

  • Experience with BANT or MEDDIC methodology.
  • Previous selling experience in software engineering, data science, or machine learning.

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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