AI Sales Engineer

Arize AI

22d•$140,000 - $200,000•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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