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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$200к/год
$170к$200кмедиана$220к
По похожим ролям (48) ~ $200к/год
На СНГ рынке: $3.3к/мес ($2.3к - $4.1к)
85
Хорошая вакансия
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Высокая базовая зарплата, понятные инженерные задачи и быстрый рост компании делают вакансию привлекательной, хотя раннее начало рабочего дня и стартап-среда добавляют неопределённости.
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Ранний стартAI-направлениеБыстрый ростКоманда с нуляЗарплата в рынке
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (AI): Building enterprise data pipelines with AI agent tooling and working directly with client engineering teams and senior stakeholders with an accent on requirements clarification, data modeling, and field-driven platform improvements. Focus on resolving complex data discrepancies, delivering proof-of-concept projects, and establishing practices for a US field engineering team.
Location: San Francisco, California, United States; Work model: Hybrid. Early working hours are required to overlap with the overseas engineering team.
Base salary: $200,000 per year; OTE: $300,000.
Company
Venture-backed enterprise AI company helping large organizations build data pipelines and modernize data infrastructure through AI agents and an in-house data engineering team.
What you will do
Build enterprise data pipelines using AI agent tooling.
Serve as the technical point of contact for client engineers and senior leadership.
Clarify requirements, resolve data discrepancies, and map data models across systems.
Work with the platform team to improve internal tooling based on field experience.
Deliver proof-of-concept projects that lead to larger engagements.
Help establish practices for the US field engineering team.
Requirements
5–6 years of professional experience, including experience at a large technology company and a startup.
Experience building enterprise data pipelines.
Strong communication skills and comfort working with senior client stakeholders.
High attention to detail and a reliable execution record.
Ability to start the working day early for collaboration with an overseas engineering team.
Nice to have
Experience with data lake architecture.
Experience with AI agent tooling.
Culture & Benefits
Hybrid work model in San Francisco with limited travel.
Weekend work is not expected except during rare sprints.
Opportunity to influence the evolution of internal engineering tooling through customer-facing work.
Founding opportunity within the US field engineering team.
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