9 дней назад
AI Sales Engineer (EMEA)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Sales Engineer (EMEA) (GenAI/ML): Driving technical sales for an AI observability and evaluation platform through product demonstrations, discovery, and proof-of-concept development with an accent on GenAI best practices and customer solution design. Focus on understanding complex AI stacks, addressing technical objections, and coordinating Sales, Engineering, and Product to unblock enterprise opportunities.
Location: EMEA (Remote)
Company
Arize AI develops an AI and agent engineering observability and evaluation platform that helps organizations build, test, monitor, troubleshoot, and optimize AI systems from prototype to production.
What you will do
- Partner with Account Executives to communicate the platform's value proposition, vision, and strategy.
- Build relationships with technical and business stakeholders and advise prospective customers.
- Lead product demonstrations and discovery sessions for sophisticated GenAI teams.
- Understand prospects' GenAI technology stacks and develop compelling solution strategies.
- Lead proof-of-concept engagements from requirements gathering through close.
- Handle technical objections and coordinate with Sales, Engineering, and Product to resolve blockers.
Requirements
- 3+ years of experience in a customer-facing role such as Sales Engineer, Solutions Engineer, or Forward Deployed Engineer.
- Strong communication skills and the ability to simplify complex technical concepts.
- Proficiency in Python and TypeScript.
- Knowledge of LLM and agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy.
- Understanding of GenAI concepts and the AI application evaluation and development lifecycle.
- Ability to learn independently and work through the technical complexity of production AI deployments.
Nice to have
- Experience aligning Sales, Product, and Engineering teams.
- Experience working in a high-growth environment.
- Engineering experience in data engineering, MLOps, Kubernetes, or GCP, AWS, or Azure.
Culture & Benefits
- Series C company backed by top-tier investors with over $135M in funding.
- Exposure to AI teams and enterprise customers across industries.
- Unlimited paid time off.
- Generous parental leave.
- Mental and wellness support.
- Opportunities to engage with industry experts, researchers, and ethicists on responsible AI.
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