JobCubby JobCubby
Sign up
J

IT Product Manager (Mandarin Speaker)

J&T Cargo Special capital Region of Jakarta, Java, Indonesia

Freight and Package Transportation

Oct 08
product-manager Mid (2-5 yrs) Full-time Indonesia
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

Lead the planning and technical implementation of AI agent solutions, including designing and orchestrating multi-agent workflows. Collaborate with engineering teams to iterate AI agents from prototypes to production-level systems.

What they look for

Product Management AI Agent Development Large Language Models Prompt Engineering LangGraph CrewAI AutoGen Tool Use Function Calling System Thinking Task Decomposition Memory Management Workflow Orchestration Mandarin Technical Implementation

Requirements

Requires a bachelor's degree in Computer Science or a related field and proficiency in prompt engineering and multi-agent frameworks. Candidates must have experience with LLM APIs and the ability to translate complex business processes into executable workflows.

Full description

Job Description

  • Lead the product planning and technical implementation of AI Agent (intelligent agent) solutions
  • Design, orchestrate, and optimize multi-agent workflows (Agent Workflow)
  • Build autonomous agent systems based on large language models, including core capabilities such as tool usage (Tool Use), memory management, and planning & reasoning
  • Collaborate closely with engineering teams to drive the iteration of AI agents from prototype to production-level systems
  • Translate complex business processes into scalable and executable agent workflows

Job Requirements

  • Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related fields
  • Familiar with Prompt Engineering and multi-agent collaboration frameworks (e.g., LangGraph, CrewAI, AutoGen, etc.)
  • Experience with at least one mainstream LLM API (e.g., OpenAI, Anthropic, Grok, Qwen, DeepSeek) and understanding of Function Calling / Tool Use mechanisms
  • Proven experience in building complex agent workflows (e.g., multi-step task decomposition, tool integration, state management, memory systems) is highly preferred
  • Strong system thinking and problem-solving skills, with the ability to break down complex processes into executable workflows
  • Excellent communication and teamwork skills, able to collaborate effectively with product, engineering, and business teams

Similar roles