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2 дня назад

AI Product Manager (Enterprise)

140 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
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

AI Product Manager (Enterprise): Building and scaling enterprise AI products and capabilities to drive business impact with an accent on cross-functional collaboration and responsible AI governance. Focus on translating emerging AI trends into scalable enterprise solutions, managing the full product lifecycle, and fostering organizational AI adoption.

Location: Must be based in El Segundo, California

Salary: $140,000–$170,000 Yearly

Company

hirify.global is a leading global toy and family entertainment company with an iconic portfolio of brands including Barbie, Hot Wheels, and Fisher-Price.

What you will do

  • Define and execute AI product strategy aligned with business priorities and Office of AI objectives.
  • Lead end-to-end AI product lifecycle management from discovery through launch and scale.
  • Collaborate with commercial, finance, and legal teams to integrate AI solutions into business workflows.
  • Develop product roadmaps balancing innovation, feasibility, and enterprise governance standards.
  • Champion responsible AI principles including privacy, security, and intellectual property protection.
  • Drive user-centric AI experiences and support organizational change management and AI literacy.

Requirements

  • 10+ years of product management experience, including work with AI/ML, Generative AI, or Agentic AI.
  • Proven track record of launching and scaling AI products in complex enterprise environments.
  • Ability to write detailed product requirements for AI-powered workflows, APIs, and platform capabilities.
  • Strong communication skills to influence executive and operational stakeholders.
  • Familiarity with AI governance, privacy, security, and compliance frameworks.
  • Experience leading cross-functional initiatives in matrixed organizations.

Nice to have

  • Deep understanding of AI stacks such as OpenAI APIs, AWS Bedrock, Google Vertex AI, and LangChain.
  • Experience with LLM performance optimization, token efficiency, and inference cost management.
  • Knowledge of AI observability, monitoring, and evaluation frameworks.
  • MBA or advanced degree in Business, Computer Science, Engineering, or Data Science.

Culture & Benefits

  • Competitive total pay programs and comprehensive benefits.
  • Inclusive workplace culture focused on belonging and empowerment.
  • Opportunity to work on innovative products within a globally recognized brand portfolio.
  • Commitment to professional growth and organizational transformation.

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