AI Agent Platform Product Manager

Gate

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Act as the Product Owner responsible for the AI Agent platform's product planning, roadmap, and delivery.
  • Identify common scenarios from diverse business needs to build standardized, reusable platform capabilities.
  • Design the complete product lifecycle for Agents, including creation, configuration, debugging, evaluation, deployment, monitoring, and optimization.
  • Drive core capabilities such as workflow orchestration, multi-agent collaboration, task decomposition, and intelligent routing.
  • Build tool calling, API, plugin, and MCP tool integration systems.
  • Advance enterprise knowledge bases, RAG, memory, context management, and model routing capabilities.
  • Implement permission controls, data security, audit trails, exception retries, and human-in-the-loop mechanisms.
  • Establish Agent evaluation and operational metric systems to optimize task completion rates, accuracy, stability, and cost.
  • Coordinate with algorithm, engineering, data, and security teams to ensure high-quality delivery.
  • Define Agent integration standards and best practices to lower the barrier for business teams.

Requirements

  • 5+ years of product management experience.
  • Experience with AI Agents, AI mid-platforms, developer platforms, low-code platforms, or enterprise SaaS.
  • Proven Product Owner capability in requirement judgment, planning, and project execution.
  • Platform-oriented product thinking with the ability to abstract general capabilities from complex requirements.
  • Understanding of LLM and AI Agent principles, including Prompt Engineering, Tool Calling, RAG, Workflow, Memory, and LLMOps.
  • Strong technical understanding to communicate effectively with algorithm and engineering teams.
  • Result-oriented mindset focused on platform usage, capability reuse, and ROI.

Preferred Qualifications

  • Familiarity with MCP, API gateways, plugin systems, and enterprise system integration.
  • Experience in multi-agent collaboration, intelligent workflows, Agent evaluation, or model routing.
  • Experience in complex business scenarios such as finance, trading platforms, risk control, or operational automation.

Skills & tools

AILLMRAG

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years product experience
  2. 02AI Agent or SaaS experience
  3. 03Understanding of LLM and RAG
  4. 04Strong technical communication
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