Product Manager - AI
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About the Role
Responsible for planning and delivering AI-driven trading products, utilizing large language models and recommendation systems to enhance user experiences and business impact.
Key Skills for This Role
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Overview
We are recruiting an experienced AI Product Manager to build core AI products for our trading platform.
This role focuses on large model application and LLM generative recommendation system development, combining AI technology with financial trading scenarios to drive business growth and user transaction conversion.
Benchmarking mature financial AI products from Tonghuashun, East Money and Ant Fortune, you will lead full-cycle AI product planning, design and iteration.
Responsibilities
- Own the planning and delivery of AI-driven products, focused on intelligent trading experiences, including LLM-based recommendations, AI-assisted decision-making, trading signals, and personalized investment insights
- Understand user needs and pain points in trading products, and combine LLMs, recommendation systems, and NLP to design and launch high-impact AI features.
- Build LLM-powered generative recommendation systems, upgrading rule-based recommendations into personalized, dynamic experiences.
- Stay up to date on AIGC, LLMs, generative recommendation, and multimodal agents.
- Define and maintain the AI product roadmap, set clear short-, mid-, and long-term goals, and drive continuous iteration from 0 1 and 1 N, with ownership of product outcomes and business impact.
- Work closely with algorithm, backend, frontend, and data teams to productize AI capabilities across the full lifecycle, including prompt engineering, RAG, model evaluation, and A/B testing.
- Use quantitative and qualitative analysis to build evaluation frameworks for AI products, covering metrics such as accuracy, adoption, conversion, and user satisfaction, and continuously optimize product performance.
- Partner with operations, marketing, and compliance teams to support launch, user education, and ongoing operations, ensuring efficient execution within compliance requirements.
- Manage end-to-end AI product development in an agile environment, including experiment design, phased rollout, attribution, and rapid iteration.
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