Enterprise Account Executive, East Sales ; Remote

AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in.
Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ride sharing marketplaces, ad tech and much more.

We are looking for a fast‑paced, client‑obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You’ll be searching for business while being an engaged member of the AI/ML community, identifying prospects who will benefit most from our solution. You’ll accomplish this by running an effective ground‑game, talking to AI/ML leaders, identifying opportunities to help and building solutions to help achieve their goals.

You’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies. While we are a remote‑first company, we are prioritizing candidates currently based in the New York City metro area / EST time zone.

• 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

• 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

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

The estimated annual salary and variable compensation for this role is between $250,000 - $300,000 USD, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and other benefits for mental and wellness support.

Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Arize AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, national origin, sex, gender identity, sexual orientation, disability, veteran status, or any other protected class. We consider all applicants for employment on the basis of merit and encourage qualified individuals from all backgrounds to apply.