Enterprise Account Executive
Confirmed live in the last 24 hours
Arize AI

51-200 employees

Machine learning observability platform for troubleshooting AI/ML issues.
Company Overview
Arize AI stands out as a leading machine learning observability platform, providing a simple and lightweight solution for ML practitioners to efficiently monitor and troubleshoot AI/ML model performance over time. The company's emphasis on ML observability, a cornerstone of operational excellence, allows teams to focus on building and deploying models with confidence, knowing they can swiftly address any arising issues. Arize AI's maturity in the market and its commitment to driving accountability further solidify its competitive advantage and industry leadership.
AI & Machine Learning

Company Stage

Series B

Total Funding

$61M

Founded

2020

Headquarters

Berkeley, California

Growth & Insights
Headcount

6 month growth

8%

1 year growth

13%

2 year growth

60%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Sales
Communications
Data Science
CategoriesNew
Sales & Account Management
AI & Machine Learning
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
  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup
Desired Qualifications
  • Previous selling experience in
  • Software Engineering
  • Data Science
  • Machine Learning