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 (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML 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:

• Partner with our account executives to articulate the overall Arize value proposition, vision, and strategy to customers
• Work closely with some of the most sophisticated GenAI teams in the world.
• You will act as a trusted advisor to our prospective customers, while also building relationships with technical and business stakeholders.
• Lead product demonstrations of the Arize platform
• Advise on GenAI and ML best practices
• Lead discovery to understand prospect’s GenAI tech stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
• Lead Proof of Concept (PoC) motions with prospective buyers
• Handle technical objections and develop strategies across sales, engineering, and product to unblock them

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply!

• 3+ years of experience in a customer-facing role such as sales engineer, solutions engineer, or forward deployed engineer
• Strong communication skills: Ability to simplify complex, technical concepts
• Proficiency in Python / Typescript
• Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy
• Understanding of GenAI concepts and application evaluation + development lifecycle
• A quick and self learner - undaunted by technical complexity of production AI deployments and welcome the challenge to learn about them and develop your own POV.

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

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.