Arize AI
AI Sales Engineer, US
About this role
Arize AI, a Series C observability platform for AI systems, seeks an AI Sales Engineer to partner with account executives and guide enterprise customers through POCs. You'll serve as a trusted technical advisor, conducting product demos, leading discovery, and resolving technical objections for Fortune 500 companies deploying generative AI.
What you'll do
- Partner with account executives to communicate Arize value proposition and strategy to prospective customers
- Lead product demonstrations and technical discovery sessions with GenAI teams
- Develop and manage proof-of-concept initiatives from requirements through close
- Act as trusted advisor to technical and business stakeholders, addressing their needs
- Handle technical objections and collaborate across sales, engineering, and product to resolve blockers
- Advise customers on GenAI and ML best practices
What they're looking for
- 3+ years customer-facing sales engineering or solutions engineering experience
- Python or Typescript proficiency
- Knowledge of LLM/agentic frameworks (OpenAI Agents SDK, Google ADK, LangGraph, DSPy)
- Understanding of GenAI concepts and application evaluation lifecycle
- Strong communication and ability to simplify complex technical concepts
- Self-directed learning and comfort with production AI deployment complexity
- Experience aligning across Sales, Product, and Engineering teams (bonus)
- Data Engineering, MLOps, or cloud platform experience (bonus)
Benefits
- Competitive salary range of $140,000–$210,000 plus equity package
- Comprehensive health coverage (medical, dental, vision)
- 401(k) plan with retirement benefits
- Unlimited paid time off
- Generous parental leave
- Remote-first work environment with optional offices in NYC and San Francisco; WFH stipend available
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Arize AI
Arize AI builds observability and evaluation solutions for production generative AI systems, helping enterprise customers monitor and secure their AI deployments. The company is hiring Forward Deployed AI Engineers to implement these solutions directly with clients, DevSecOps Engineers to secure AI infrastructure, and AI Sales Engineers to guide enterprise customers through technical evaluations and deployments.
- Website
- arize.ai
Likely interview questions
- Walk us through your experience as a sales engineer or solutions architect. How have you partnered with account executives to close deals, and what was your approach to leading proof of concepts?
- Tell us about a time you had to explain a complex technical concept to a non-technical stakeholder. How did you simplify it, and what was the outcome?