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Product Manager (AI)

118 800 - 185 650$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Product Manager (AI): Leading the development of AI-driven knowledge systems focused on search, chat, and recommendation features to enhance personalization and user engagement. Focus on defining product vision, collaborating cross-functionally, and driving AI quality improvements with data-driven decision making.

Location: Remote (United States)

Salary: $118,800–$185,650

Company

hirify.global creates software products that enable team collaboration worldwide, supporting diverse work types and fostering inclusive culture.

What you will do

  • Define and execute product vision and roadmap for AI knowledge systems aligned with business goals.
  • Lead development of foundational knowledge systems powering search, chat, and agent experiences.
  • Collaborate with engineering, data science, product, and design teams to improve AI quality and integration.
  • Use data-driven metrics and user feedback to monitor and enhance AI-driven features.
  • Engage with customers and stakeholders to validate improvements and prioritize features.
  • Communicate progress and product narratives effectively to internal and external audiences.

Requirements

  • Location: Must be based in the United States or eligible to work remotely within US zones.
  • 3+ years of product management experience focused on AI, machine learning, or knowledge systems.
  • Experience with ads, feeds, search, or recommendation products.
  • Strong understanding of AI technologies including knowledge graphs and recommendation engines.
  • Excellent communication and cross-functional leadership skills.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field preferred.

Culture & Benefits

  • Flexible work location: office, home, or hybrid options.
  • Competitive and equitable compensation with geographic pay zones.
  • Health and wellbeing resources, paid volunteer days, and community engagement support.
  • Inclusive culture valuing diverse perspectives and backgrounds.
  • Virtual interviews and onboarding supporting distributed-first work model.

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