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AI 产品经理(金融投研数据方向)

Role overview

Qualifications

  • 5 years or more of experience in product management, data products, investment research products, or financial engineering
  • Strong investment research and data modeling capabilities
  • Familiarity with on-chain data structures and core logic
  • Experience with AI application systems like RAG and Agent

Responsibilities

  • Build investment research index systems, on-chain data models, and high-quality RAG knowledge bases
  • Plan and design investment research products, integrating methodologies and AI capabilities
  • Manage data sources, data cleaning, and knowledge base construction to enhance AI analysis
  • Design on-chain data models and analysis frameworks, and promote AI investment research productization

About the company

Gate.io logo

Gate.io

Cryptocurrency Exchanges & Trading

Our mission is to serve the blockchain industry by providing secure and reliable products & services to consumers and companies around the world. Transparency, security & integrity are our main values. The "Gate ecosystem" consists of Wallet.io, HipoDeFi and Gatechain, all of which were created to provide users with a secure, simple and fair trading platform as well as the ability to safeguard assets and trading information. Currently, we provide trade, investment, and digital wallet services for more than 300 digital assets. We offer high-quality services for millions of users from over 130 countries.

Company details

Company typeSME
IndustryCryptocurrency Exchanges & Trading
Company size51 - 200

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Job description

职位定位
1、负责构建数字资产领域投研指标体系、链上数据模型及高质量 RAG 知识库,将数字资产投研方法论转化为 AI 生产力。 岗位职责
2、负责数字资产投研产品规划与设计,推动投研方法论、链上数据与 AI 能力融合,持续提升研究效率与投资决策质量。
3、负责 AI 知识库(RAG)建设,包括数据源管理、数据清洗、标签体系、索引设计及评测体系建设,持续提升 AI 分析能力与专业性。
4、设计链上数据模型与分析框架,包括 Smart Money、TVL、资金流向、风险预警等核心能力。 5、结合大模型、RAG、Agent、Workflow 等技术,推动 AI 投研能力产品化。 与投研、数据、算法及研发团队协作,推动 AI 投研产品落地。
 
任职要求
1、具备 5 年及以上产品、数据产品、投研产品或金融工程相关经验,特别优秀者可适当放宽;有金融数据平台、投研平台、量化研究平台、链上数据分析平台等相关背景优先。
2、具备较强的投研与数据建模能力,能够独立设计指标体系、研究框架及数据模型,并将研究逻辑转化为产品能力。
3、熟悉链上数据结构,理解 Tokenomics、资金流向、Smart Money、TVL、链上行为分析等核心逻辑。
4、熟悉 RAG、Agent、Prompt Engineering 等 AI 应用体系,有知识工程、AI 投研或 AI 产品落地经验优先。
5、深度关注数字资产行业,对 AI Agent 等方向保持持续研究与学习。

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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