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materialize
Страна
США
Зарплата
200 000 $ – 220 000 $
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LeadГибридПолная занятость

Principal Field Engineer

Оценка ИИ

Высокая оценка обусловлена престижностью компании (поддержка топовых венчурных фондов), конкурентной заработной платой и уникальным гибридным характером роли, сочетающим инженерию, продажи и разработку ИИ-инструментов. Это отличная возможность для карьерного роста до уровня технического лидера в индустрии данных.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует исключительного сочетания глубоких технических знаний в области распределенных систем (Kafka, Flink) и навыков стратегического лидерства на уровне руководителей Fortune 500. Высокая планка обусловлена необходимостью не только продавать, но и внедрять сложные архитектурные решения, а также автоматизировать процессы с помощью ИИ.

Анализ зарплаты

Медиана210 000 $
Рынок185 000 $ – 240 000 $
Оценка ИИ

Предлагаемая зарплата в $200k-220k находится в верхнем диапазоне рыночных значений для Principal-позиций в США, особенно с учетом дополнительных бонусов и опционов, что типично для стартапов стадий C-D в сфере инфраструктуры данных.

Сопроводительное письмо

I am writing to express my strong interest in the Principal Field Engineer position at Materialize. With over a decade of experience in technical pre-sales and solutions architecture for high-growth data infrastructure startups, I have a proven track record of navigating complex enterprise evaluations and serving as a trusted advisor to CTOs and VPs of Engineering. My background in distributed systems and stream processing aligns perfectly with Materialize’s mission to provide a live data foundation for AI transformation.

Throughout my career, I have excelled at bridging the gap between complex technical capabilities and strategic business outcomes. I am particularly drawn to this role because it combines the responsibilities of a Technical Account Manager with the opportunity to build AI-powered internal tooling. My expertise in SQL and modern data pipelines, coupled with an entrepreneurial mindset, allows me to not only lead high-stakes deals but also to create the repeatable frameworks that scale field operations.

I am impressed by Materialize’s trajectory and the caliber of its investors. I am eager to bring my experience in building scalable assets and mentoring field engineering teams to your organization. Thank you for your time and consideration.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в materialize уже сейчас

Присоединяйтесь к Materialize, чтобы определять будущее потоковой обработки данных и ИИ-агентов в крупнейших предприятиях мира!

Описание вакансии

Who We Are:

Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.

Our team spans the US (with a NYC headquarters), Canada, and EMEA.

Investors:

Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.

About the Role

As a Principal Field Engineer, you are one of the most senior customer-facing technical leaders on the Field Engineering team. You own the full technical lifecycle of Materialize’s highest-value accounts, from initial architectural discovery through production deployment, ongoing optimization, and expansion into new use cases. You operate as a trusted advisor to executive stakeholders, shaping how large enterprises evaluate, adopt, and scale Materialize across multiple teams and use cases.

This role goes beyond traditional pre-sales or post-sales field engineering. You will serve as the named Technical Account Manager (TAM) for customers purchasing TAM services, deploy as a forward-deployed engineer on strategic design partnerships, build AI-powered internal tooling to scale field operations, and create the repeatable playbooks and frameworks that define how Materialize goes to market technically. This is a hands-on role for someone who wants to both lead by example and multiply impact across the organization.

Our Field Engineers report to the Vice President of Customer Success.This role is based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person, or fully remote for candidates based on the West Coast.

Responsibilities

  • Own technical strategy for Materialize's most strategic and high-impact accounts, serving as the principal technical point of contact for Fortune 500 engineering teams
  • Partner with AEs on must-win and highly competitive deals
  • Lead executive-level technical discussions with CTOs, VPs of Engineering, and enterprise architects
  • Navigate complex enterprise evaluation processes, including security reviews and multi-stakeholder decision-making
  • Design and oversee enterprise-grade POVs with clear technical and business success criteria
  • Lead architectural discovery and deliver prescriptive recommendations, not just answers
  • Deploy as a forward-deployed engineer on design partnerships and strategic logo acquisition, embedding with customer engineering teams to design and validate solutions
  • Serve as the escalation point for complex or high-risk technical evaluations
  • Identify and drive expansion opportunities across teams and business units within accounts
  • Serve as the named TAM for customers purchasing TAM services, leading QBRs and strategic account reviews focused on business outcomes and platform adoption
  • Proactively monitor account health, identify and mitigate adoption or technical risks, and coordinate escalations across Product, Engineering, and Support when issues arise
  • Identify high-leverage opportunities to automate field engineering workflows using AI, and build and ship AI-powered agents and tools using LLMs, MCP, and Materialize's own platform
  • Translate customer feedback into actionable product and roadmap input
  • Partner cross-functionally with Sales, Product, Engineering, and CS to improve GTM execution
  • Define and codify technical methodologies, POV frameworks, discovery templates, and competitive positioning guides
  • Build scalable assets and accelerators that improve team efficiency and consistency
  • Mentor and coach Field Engineers through deal reviews, shadowing, and structured feedback

What We’re Looking For

  • 10+ years of experience in senior technical pre-sales, field engineering, solutions architecture, technical account management, forward-deployed engineering, or technical consulting roles
  • Proven success leading complex enterprise evaluations and executive-level technical conversations with Fortune 500 engineering organizations
  • Deep expertise in modern data architectures, including distributed systems, stream processing (Kafka, Flink), CDC pipelines, relational databases, and real-time data infrastructure
  • Expert-level SQL skills and strong architectural judgment
  • Demonstrated track record of building repeatable processes, frameworks, or tools adopted by others — not just individual heroics
  • Entrepreneurial ownership mentality: you build process, you don't wait for it
  • Ability to balance enterprise rigor with the pragmatism required in a fast-growing startup
  • Experience building AI agents or LLM-powered tooling is a plus
  • Experience at a data infrastructure startup (Series A–D) is a plus

Location: NYC (hybrid, minimum 3 days/week in HQ) or West Coast (remote)

Base Salary: $200,00 - 220,000 USD/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:

  • Qualifications and relevant work experience
  • Educational background and credentials
  • Relevant skills and certifications
  • Geographic location
  • Market demands

Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.

We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • SQL
  • Kafka
  • Flink
  • CDC
  • Distributed Systems
  • Relational Databases
  • LLM
  • Python

Возможные вопросы на собеседовании

Проверка глубины понимания технологий, на которых строится Materialize.

Расскажите о наиболее сложной архитектурной проблеме, с которой вы столкнулись при внедрении систем потоковой обработки данных (например, Flink или Kafka). Как вы ее решили?

Оценка способности работать с высокоуровневыми стейкхолдерами.

Опишите случай, когда вам нужно было убедить CTO крупной компании изменить их текущую стратегию работы с данными в пользу вашего решения. Какие аргументы были решающими?

Проверка навыков управления долгосрочными отношениями с клиентами (TAM).

Как вы подходите к проведению QBR (Quarterly Business Reviews) для стратегических аккаунтов, чтобы они приносили реальную ценность, а не были просто формальностью?

Оценка инновационного мышления и навыков автоматизации.

Какие процессы в работе Field Engineering вы бы автоматизировали с помощью LLM и ИИ-агентов в первую очередь и почему?

Проверка лидерских качеств и вклада в развитие команды.

Какие конкретные методологии или фреймворки для проведения POV (Proof of Value) вы разрабатывали и внедряли в своих предыдущих командах?

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materialize
Страна
США
Зарплата
200 000 $ – 220 000 $