AI Hiring Index

Arize AI · Go-to-market · Senior · Posted 2026-06-22

Enterprise Account Executive, East

Arize AI · Remote (New York) · $250k–300k base

This range's midpoint is above 84% of posted go-to-market ranges at AI companies right now. See the salary index.

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About Arize

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.

We’re a Series C  company backed by top-tier investors,   with  over $135M in funding  and a rapidly growing customer base of  150+ leading enterprises and Fortune 500 companies.  Customers like  Booking.com , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.

The Opportunity

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, ridesharing 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.

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

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 others for mental and wellness support. More About Arize

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 …

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