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3 дня назад

AI Technical Product Manager

Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

AI Technical Product Manager (Generative AI/LLM): Defining and maintaining the AI product vision and strategy to build scalable AI-powered enterprise solutions with an accent on RAG, Semantic Search, and LLM integration. Focus on translating business requirements into technical roadmaps, optimizing product KPIs, and ensuring Responsible AI governance.

Location: Mexico City, Mexico

Company

An AI-native organization that designs, builds, and scales AI-powered solutions to create real business impact for various companies.

What you will do

  • Define and maintain the AI product vision, strategy, and roadmap aligned with business objectives.
  • Prioritize product initiatives based on business value, technical feasibility, ROI, and organizational impact.
  • Own the AI product backlog and translate business requirements into user stories and acceptance criteria.
  • Lead AI product discovery sessions with stakeholders and drive the evolution of RAG and Semantic Search capabilities.
  • Partner with Engineering, Data, Operations, and Executive Leadership to successfully deliver AI-powered products.
  • Define and optimize product KPIs and ensure Responsible AI and governance principles are incorporated.

Requirements

  • 5+ years of experience as a Product Manager or Product Owner.
  • 3+ years of experience managing enterprise software products and roadmaps.
  • Hands-on experience with Generative AI, LLMs, AI Agents, Prompt Engineering, and RAG.
  • Strong understanding of Machine Learning fundamentals and AI governance.
  • Advanced English proficiency.
  • Based in Mexico City, Mexico.

Culture & Benefits

  • High-performance culture grounded in excellence, transparency, and efficient communication.
  • AI-native environment investing in modern ways of working and transformation at scale.
  • Collaborative teamwork based on unsolicited respect and ownership.
  • Opportunities to learn fast and work alongside strong, professional teams.

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