Account Executive (AI/ML Sales) at Arize AI

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

What You’ll Do

• 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

What We’re Looking For

• 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

Bonus Points, But Not Required

• Previous selling experience in
• Software Engineering
• Data Science
• Machine Learning