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AI Sales Engineer, (EMEA)

Оценка ИИ

Высокая оценка обусловлена отличным финансированием компании (Series C), работой с передовыми технологиями (GenAI) и очень конкурентоспособным компенсационным пакетом с опционами. Роль предлагает значительное влияние на развитие бизнеса в регионе EMEA.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких технических знаний в области LLM/Agentic frameworks и развитых навыков продаж. Кандидат должен уметь не только писать код на Python, но и выступать стратегическим консультантом для CDO крупных корпораций.

Анализ зарплаты

Медиана160 000 $
Рынок130 000 $ – 210 000 $
Оценка ИИ

Предлагаемая зарплата ($140k - $230k) находится на верхней границе или даже выше среднерыночных показателей для Sales Engineer в регионе EMEA, особенно учитывая удаленный формат работы и дополнительные бонусы. Это отражает высокую востребованность специалистов в нише AI Observability.

Сопроводительное письмо

I am writing to express my strong interest in the AI Sales Engineer position at Arize AI. With a solid background in Python and a deep understanding of the GenAI application lifecycle, I have spent the last few years helping enterprises navigate the complexities of production-grade AI. My experience aligns perfectly with Arize’s mission to provide the gold standard for AI evaluation and observability, especially as teams transition from prototypes to agentic workflows.

In my previous roles, I have successfully led technical discovery and Proof of Concept (PoC) motions, bridging the gap between complex engineering requirements and business value. I am particularly impressed by Arize’s work with industry giants like Uber and Siemens, and I am eager to bring my expertise in LLM frameworks and MLOps to help expand your footprint in the EMEA region. I thrive in high-growth environments and look forward to the opportunity to act as a trusted advisor for your prospective customers.

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Описание вакансии

About Arize

AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

We’re a Series C company backed by top-tier investors,withover $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies.Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.

The Team

Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML organization.

You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept.

What You’ll Do

You are the trusted advisor to the customer:

  • 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

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply!

  • 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.

Bonus Points, But Not Required

  • 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

The estimated annual salary and variable compensation for this role is between $140,000 - $230,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

More About Arize

Arize’s mission is to make the world’s AI work—and work for people.

Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Learn more about what we're doing here:

https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/

https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup
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Навыки

  • Python
  • TypeScript
  • LLM
  • Generative AI
  • MLOps
  • Kubernetes
  • GCP
  • AWS
  • Azure
  • Data Engineering
  • LangGraph
  • DSPy
  • OpenAI

Возможные вопросы на собеседовании

Проверка практического опыта работы с инструментами, упомянутыми в вакансии.

Можете ли вы сравнить LangGraph и DSPy с точки зрения построения сложных агентных систем? В каких случаях вы бы рекомендовали один инструмент вместо другого?

Оценка способности работать с возражениями и понимания ценности продукта Arize.

Как бы вы объяснили техническому директору (CTO), почему им нужна специализированная платформа для обсервабильности AI, а не стандартные инструменты мониторинга логов?

Проверка навыков ведения PoC (Proof of Concept).

Опишите ваш процесс ведения пилотного проекта: как вы определяете критерии успеха и что делаете, если клиент не видит немедленной ценности в продукте?

Оценка понимания жизненного цикла разработки AI.

С какими основными проблемами сталкиваются команды при выводе GenAI приложений из прототипа в продакшн, и как Arize помогает их решить?

Проверка технических навыков отладки.

Представьте, что у клиента наблюдается высокая задержка (latency) в работе LLM-агента. Как бы вы использовали Arize для поиска узкого места?

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arizeai
Зарплата
140 000 $ – 230 000 $