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2 дня назад

AI Product Manager

Формат работы
onsite
Тип работы
fulltime
Английский
c1
Страна
US/Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

AI Product Manager (AI Platform): Translate customer problems into structured solution plans using hirify.global’s platform with an accent on prompt/context structures, reusable components, and end-to-end project delivery. Focus on prioritizing requirements, managing tradeoffs across speed and stability, and collaborating closely with engineering and AI specialists to build high-impact solutions.

Onsite from Tel Aviv office, Israel

Company

We build AI-powered products that address real-world challenges, with the platform team developing infrastructure, reusable components, and internal tools for rapid product delivery.

What you will do

  • Translate customer problems into structured solution plans using hirify.global.ai’s platform.
  • Own end-to-end project delivery in collaboration with engineers and AI specialists.
  • Write detailed specs and define prompt/context structures for solution logic.
  • Prioritize requirements and manage tradeoffs across speed, stability, and scope.
  • Work with the Platform team to surface reusable product patterns.
  • Serve as the voice of the user from enterprise operators to domain experts.

Requirements

  • 4+ years of experience in product management or technical delivery roles.
  • Experience working closely with engineering teams and technical products.
  • Ability to manage complex projects with multiple moving parts.
  • Strong written communication, systems thinking, and attention to detail.
  • Fluent English speaker - written and verbal communication must be excellent
  • Comfortable working in fast-paced environments with evolving requirements.

Nice to have

  • Background in enterprise software, AI tools, or internal platforms.
  • Familiarity with prompt engineering, LLMs, or component-based systems.
  • Experience working with customers in finance, cybersecurity, or operations.

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