Arize AI
Technology
AISalesEngineer,DigitalNative
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Sales Engineer, Digital Native at Arize AI. Skills: AI observability, GenAI, Sales engineering. Partner with account executives. Articulate value proposition”
What You'll Achieve.
Drive POCs to close; Ship AI faster
Industry & Context.
Troubleshoot AI systems; Optimize AI systems
Based in San Francisco Bay Area
What They're Looking For.
Must Have
3+ years customer-facing experience, Proficiency in Python / Typescript, Knowledge of LLM / Agentic frameworks, Understanding of GenAI concepts
Nice to Have
Previous Sales, Product, Engineering experience, Previous high growth stage experience, Previous Data Engineering experience, Previous MLOps experience, Previous Kubernetes experience, Previous GCP / AWS / Azure experience
What You'll Do.
Partner with account executives
Articulate value proposition
Lead product demonstrations
Advise on GenAI best practices
Advise on ML best practices
Understand prospect's GenAI tech stack
Construct compelling value proposition
Lead Proof of Concept motions
Handle technical objections
How You'll Work.
Team & Collaboration
Work with account executives; Collaborate with Sales team; Collaborate with Sales; Collaborate with engineering; Collaborate with product
Communication Scope
Simplify complex concepts; Technical concepts
Process & Methodology
Requirements gathering, POC management
Full Job Description
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, Digital Native (Solutions Architect) to join the good fight and get this product in the hands of every digital native 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. While we are a remote-first company, due to the nature of this role the ideal candidate will be based in the San Francisco Bay Area. 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 close
Applying for this AI Sales Engineer, Digital Native role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Arize AI?
Real rants from real employees. Read before you apply.