AI Sales Engineer, (EMEA)

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 Team

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 an AI Sales Engineer to join the good fight and get this product in the hands of every Machine Learning organization.

You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept.

What You’ll Do

You are the trusted advisor to the customer:

• Build relationships with technical stakeholders

• Lead product demonstrations of the Arize platform

• Lead discovery to understand prospect’s ML stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform

• Handle technical objections and develop strategies across sales, engineering, and product to unblock them

Act as a Domain Expert within AI/ML:

• Write educational and compelling blog posts about ML and MLOps related topics

• Collaborate to create and enhance documentation, recorded video assets and other publically available as well as internal enablement materials

• Engage in relevant ML communities online to raise awareness on challenges of deploying ML in production

What We’re Looking For

Strong Communication Skills:

• You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly.

• Ability to simplify complex, technical concepts

A quick and self learner:

• You are undaunted by the technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

• You ask the right questions with the customer to uncover nuances in their unique deployments.

• Ability to work within ambiguity and take action with limited direction

Knowledgeable in Machine Learning:

• You may not have a PhD in ML but you know the difference between Linear Regression and Boosted Trees and the advantages / disadvantages of each.

• You have some experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc.

5+ years within customer facing role:

• Pre-sales, technical account management, or consulting experience

• Worked with customers within the high enterprise (e.g. Fortune 500, etc)

Proficiency in:

• Python

• Linux/Unix

Bonus Points, But Not Required

• Previous experience working across and aligning Sales, Product, and Engineering

• Previous experience within a team that underwent a high growth stage

• Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure

The estimated annual salary and variable compensation for this role is between $140,000 - $230,000, 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.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

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 across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Learn more about what we're doing here:

https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/

https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

• 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