The AI Sales Engineer will work alongside Account Executives to articulate the Arize value proposition and lead product demonstrations, while also managing customer relationships and technical ...
The AI Sales Engineer will work alongside Account Executives to articulate the Arize value proposition and lead product demonstrations, while also managing customer relationships and technical ...
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Ai Sales Engineer information
See salary details
$43.5K - $53.1K
2% of jobs
$53.1K - $62.7K
7% of jobs
$62.7K - $72.3K
13% of jobs
$74.5K is the 25th percentile. Wages below this are outliers.
$72.3K - $81.9K
14% of jobs
The median wage is $90.3K / yr.
$81.9K - $91.5K
17% of jobs
$91.5K - $101K
15% of jobs
$108.7K is the 75th percentile. Wages above this are outliers.
$101K - $110.6K
10% of jobs
$110.6K - $120.2K
8% of jobs
$120.2K - $129.8K
7% of jobs
$129.8K - $139.4K
4% of jobs
$139.4K - $149K
3% of jobs
$43.5K
$96.2K
$149K
How much do ai sales engineer jobs pay per year?
How does an AI Sales Engineer typically collaborate with both technical and non-technical teams during the sales process?
What is the difference between Ai Sales Engineer vs Data Scientist?
| Aspect | Ai Sales Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Engineering, Computer Science, or related field; knowledge of AI products | Bachelor's or higher in Data Science, Statistics, or related field; strong programming skills |
| Work Environment | Customer-facing, technical sales, collaboration with sales and engineering teams | Data analysis, model development, research, often in office or lab settings |
| Employer & Industry Usage | Tech companies, AI solution providers, startups | Tech firms, research institutions, finance, healthcare |
| Common Search & Comparison | Yes | No |
The main difference between an Ai Sales Engineer and a Data Scientist lies in their focus. Ai Sales Engineers primarily engage in technical sales, demonstrating AI solutions to clients, while Data Scientists analyze data to develop models. Both roles require technical knowledge, but their work environments and objectives differ significantly.
How much does an AI sales engineer make?
What does an AI sales engineer do?
What are the key skills and qualifications needed to thrive as an AI Sales Engineer, and why are they important?

Job description
Arize AI is a leading AI & Agent Engineering observability and evaluation platform, focused on empowering AI engineers to optimize their AI systems. The AI Sales Engineer will work alongside Account Executives to articulate the Arize value proposition and lead product demonstrations, while also managing customer relationships and technical objections.
Responsibilities:
• 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
Qualifications:
Required:
• 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.
Preferred:
• 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
Company:
Arize is an AI engineering platform focused on evaluation and observability. It helps engineers develop, evaluate, and observe AI agents. Founded in 2020, the company is headquartered in Berkeley, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Arize AI
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
Mill Valley, CA, US
Year founded
2019