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Arize AI

AI Sales Engineer, EMEA

RemoteEMEA
Published
Role
Sales
Experience
Mid
Employment
Full-time
Salary not disclosed
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Open to Anywhere in EMEA. Set where you work from to check your eligibility.

No BS summary

Arize AI is seeking an AI Sales Engineer (Solutions Architect) to join their team. You will partner with Account Executives to articulate the Arize value proposition, lead product demonstrations, advise on GenAI and ML best practices, and lead Proof of Concept (PoC) motions with prospective buyers. The role requires 3+ years of customer-facing experience, strong communication skills, proficiency in Python/Typescript, knowledge of LLM/Agentic frameworks, and understanding of GenAI concepts.

Core skills

PythonTypeScript

Optional skills

Data EngineeringMLOpsKubernetesGCPAWSAzure

What you'll do

  • 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.
  • 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 they require

  • 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
  • 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.
  • 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

Benefits

  • Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

Artificial Intelligence

AIStartup
Salary not disclosed