AI Sales Engineer, Digital Native

🕒 Yesterday

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Arize AI

Arize AI

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Arize AI is a company that provides a comprehensive AI observability and evaluation platform designed for AI engineers to build and manage AI applications, particularly those involving large language models (LLMs). The platform offers end-to-end AI tracing, monitoring, and evaluation tools to help users identify and resolve performance bottlenecks, ensure data quality, and improve the performance of AI systems. Arize also supports experimentation and visualization, enabling users to iterate rapidly on AI applications and maintain high-quality service delivery. The company caters to top AI companies, offering solutions for both online and offline LLM evaluation and observability. Arize's tools are particularly valuable for AI model monitoring, troubleshooting, and performance optimization, helping businesses mitigate risks and improve AI outcomes.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• medical • dental • vision • 401(k) plan • unlimited paid time off • generous parental leave plan • others for mental and wellness support

Apply Now

Similar Jobs

🕒 Yesterday

Zscaler

5001 - 10000

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

Healthcare Industry Senior Sales Engineer driving technical sales in the healthcare sector for Zscaler's cybersecurity solutions. Engaging with customers and leading discussions around Zero Trust architecture.

Cyber Security

🕒 Yesterday

Miggo Security

11 - 50

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Sales Engineer for Miggo, a cybersecurity startup, driving technical validation and customer confidence in application detection and response. Collaborate closely with AEs and security teams.

AWS

Cloud

Grafana

Kubernetes

Splunk

🕒 2 days ago

Corsearch

1001 - 5000

🔐 Security

🤖 Artificial Intelligence

🛍️ eCommerce

Sales Engineer partnering with Account Executives to deliver tailored solutions for brand protection at Corsearch. Engaging with clients and leveraging data-driven insights for impactful presentations.

ETL

🕒 4 days ago

Fortinet

10,000+ employees

🔒 Cybersecurity

☁️ SaaS

🤝 B2B

Sales Engineer guiding large enterprise organizations through cybersecurity transformation initiatives in SecOps, Zero Trust, cloud, and network security.

Cloud

Cyber Security

Switching

TCP/IP

🕒 4 days ago

Pallet

11 - 50

🎯 Recruiter

🏢 Enterprise

🤝 B2B

Enterprise Sales Engineer bridging AI platform with logistics workflows at Pallet. Owning technical validation and driving proofs of concept to accelerate customer engagements.