4 дня назад
AI Agent Product Manager Graduate (Corporate Service System) - 2027 Start
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Описание вакансии
Текст:
TL;DR
AI Agent Product Manager Graduate (Corporate Service System) - 2027 Start (AI Agents/Enterprise Products): Building enterprise AI agent products for global internal workplace scenarios with an accent on agent creation, user needs discovery, and capability evaluation. Focus on designing AI applications from 0 to 1, measuring model and product performance, and turning office automation, knowledge management, and content generation ideas into features.
Location: Dubai, United Arab Emirates
Company
A global technology company developing products and platforms for content creation, discovery, and connection.
What you will do
- Plan and design enterprise AI Agent products, including core agent-building capabilities from 0 to 1.
- Research enterprise user needs through interviews, data analysis, and behavioral insights, then translate findings into product improvements.
- Build and refine AI capability evaluation sets and monitor product effectiveness and model performance.
- Drive data-informed iteration across AI capabilities and user experience.
- Explore AI applications for office automation, knowledge management, content generation, and related workplace scenarios.
Requirements
- Currently pursuing a bachelor's degree or above; Computer Science, Artificial Intelligence, and Information Management backgrounds are preferred.
- Strong logical thinking, self-direction, user orientation, communication, and cross-team collaboration skills.
- Genuine interest in AI products and current developments in LLM and Agent technologies.
- Ability to commit to an onboarding date by the end of 2027 and clearly state availability and graduation date in the resume.
Nice to have
- Internship or project experience with AI products.
- Experience with AI and Agent tools such as Claude Code, Cursor, or Coze.
- Hands-on experience building agents or AI applications, supported by demos or a portfolio.
Culture & Benefits
- Work on real internal enterprise scenarios used by employees globally.
- Develop AI applications involving Agent, RAG, multi-agent collaboration, and workflow orchestration.
- Contribute to measurable workplace improvements by reducing time spent on everyday tasks.
- Join a diverse, collaborative environment focused on experimentation, impact, and continuous iteration.
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