AI Agent Platform Product Manager
Summary
Owns the product roadmap for an AI Agent platform, defining lifecycle, orchestration, and integration features while collaborating with engineering and security teams.
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.