Enterprise Account Executive, EMEA (AI)

Location: Remote, EMEA

Estimated annual salary and variable compensation: $250,000–$300,000 USD, plus equity.

Company

Arize AI provides an AI observability and evaluation platform that helps enterprises monitor, troubleshoot, and optimize machine learning, generative AI, and agentic systems in production.

What you will do

• Find, win, and grow enterprise customers through networking, prospecting, discovery, and full-cycle sales.
• Build relationships with AI/ML stakeholders and participate actively in the AI/ML community.
• Create sales plays, talk tracks, and account strategies while researching prospects, stakeholders, and competitors.
• Manage proofs of concept, drive product adoption, and expand customer accounts and workloads.
• Understand customer use cases, scope licensing, and coordinate internal and external stakeholders to ensure successful outcomes.

Requirements

• 5+ years of enterprise SaaS sales experience.
• Full-cycle sales experience and the ability to navigate complex enterprise deals.
• Ability to learn and use sales technologies for prospecting and lead generation.
• Self-starter comfortable working in environments with limited process.
• Fast-paced, customer-focused approach and strong motivation to help prospects and customers.
• Strong communication skills, including the ability to communicate field observations clearly and objectively.
• Collaborative approach; success depends on working with peers and other Arize organizations.

Nice to have

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

Culture & Benefits

• Remote-first work model with a WFH monthly stipend for coworking spaces.
• Optional in-person work in offices in New York City and the San Francisco Bay Area.
• Medical, dental, vision, and 401(k) benefits.
• Unlimited paid time off, generous parental leave, and mental and wellness support.
• Opportunities to engage with industry experts, researchers, and ethicists on responsible AI, alongside inclusion-focused community activities.