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Full-Time

Enterprise Account Executive

Confirmed live in the last 24 hours

Arize AI

Arize AI

51-200 employees

AI observability and model evaluation platform

Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$250k - $300kAnnually

+ Equity Package

Senior, Expert

Remote in USA

Category
Inside Sales
Sales & Account Management
Required Skills
Sales
Communications
Requirements
  • 5+ years enterprise SaaS sales experience: Hungry, aggressive and motivated
  • Familiarity or willingness to learn sales technologies to find and attract prospects
  • Self-starter and comfortable working in limited process environments
  • Full-cycle sales experience and ability to navigate the complexities of enterprise deals
  • Fast-paced and focused on helping prospects / customers
  • Team player: Collaboration with peers and other organizations within Arize is critical to success, we deeply value the success of the collective team over individual gains
  • Strong communication skills: Clearly and objectively communicate observations from the field
Responsibilities
  • Be a networker, seller and closer
  • Build relationships with AI/ML stakeholders and be an active member of the community
  • Conduct discovery with prospects and share the Arize vision
  • Run a sophisticated prospecting strategy to “get the word out” and find deals
  • Create sales plays, write talk tracks and strategically identify new business opportunities
  • Deeply research accounts, stakeholders and competitors
  • Manage proof of concepts, drive adoption and grow accounts
  • Manage and navigate internal / external stakeholders to ensure success
  • Understand use cases, scope licensing and find more workloads
  • BANT or MEDDIC methodology preferred

Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access tools for analyzing issues in their AI systems, such as tracking LLM traces and spans, and conducting retrieval-augmented generation (RAG) analysis. Arize AI differentiates itself by offering task-based evaluations that help identify problems like hallucinations and relevance in AI outputs. The goal of Arize AI is to assist AI companies in continuously enhancing the effectiveness of their models by providing insights and analytics that lead to performance improvements.

Company Stage

Series B

Total Funding

$61M

Headquarters

Berkeley, California

Founded

2020

Growth & Insights
Headcount

6 month growth

3%

1 year growth

13%

2 year growth

40%
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Simplify's Take

What believers are saying

  • Arize's partnerships with industry leaders like Google Cloud and recognition at events like VB Transform position it as a frontrunner in AI observability.
  • The launch of AI Copilot and other advanced tools can significantly enhance the productivity and efficiency of AI engineers, making Arize an attractive workplace for top talent.
  • Continuous innovation and the introduction of open-source tools like Phoenix demonstrate Arize's commitment to community and technological advancement.

What critics are saying

  • The highly specialized focus on AI observability and LLM evaluation may limit market size and growth potential.
  • Rapid technological advancements in AI could render some of Arize's current tools and features obsolete, requiring constant innovation to stay relevant.

What makes Arize AI unique

  • Arize AI specializes in AI observability and LLM evaluation, a niche focus that sets it apart from broader AI monitoring platforms.
  • The introduction of industry-first tools like AI Copilot and Phoenix for monitoring LLM hallucinations highlights Arize's commitment to innovation and addressing specific AI challenges.
  • Arize's platform offers comprehensive troubleshooting capabilities, including prompt engineering and retrieval tracing workflows, which are not commonly found in competitor platforms.