阿里巴巴阿里国际-AI财务分析产品高级专员(跨境物流)-杭州
社招全职3年以上产品类-平台型地点:杭州状态:招聘
任职要求
1. 本科及以上学历,财会、统计、信息管理等相关专业;持有 CPA、CMA、ACCA 等专业资格者优先; 2. 3年以上业财流程优化、业务需求分析或相关项目落地经验,熟悉端到端业务流程,有国际物流、跨境电商、供应链行业背景者优先;熟悉 ERP 系统(如 SAP、Oracle)财务模块逻辑,具备较强的系统配置与业务映射能力; 3. AI应用开发能力: a. 熟悉大模型应用原理,理解Prompt Engineering、RAG、Agent编排(如LangChain、Coze/Dify)等核心技术。 b.具备Python基础,能编写脚本调用API、处理JSON数据…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
1. 业务洞察与需求转化:深入理解跨境物流全链路业务(首公里→干线→关务→末派),梳理履约、计费、核算、分析等关键流程,识别流程痛点并转化为标准化、可落地的AI Agent解决方案(如“损益分析助手”,“结算收付助手”等)。 2. 财务系统建设与落地:参与或主导 AI 原生的财务分析工具、业财一体化、业务流程再造等财务转型项目。负责财务模块的需求调研、流程设计、方案落地及测试验收,确保系统合规、高效、可扩展。 3. AI评价体系及应用迭代:构建 AI Agent 的评价体系,通过用户反馈和运营指标(如单件作业时间、报表访问量等)持续优化 Prompt 及 Agent 工作流。 4. 知识库构建与治理:负责业务领域知识及多维分析指标体系的构建,搭建和维护向量数据库。确保Agent能准确理解财务管理流程(如 DOA、预算管理机制)、财务指标(如单包裹成本、克重成本、区域毛利贡献等)实现准确的调用,在约束类流程上支持无虞。 5. 跨部门协作与推广:作为技术与业务的“翻译官”,向业务部门推广AI工具,收集需求并培训用户,推动财务 BP 团队从“传统财务分析”向“AI原生财务分析”转型。 6. 管理产品运营与迭代:负责物流板块管理报表产品的日常运营,主导新增业务场景的需求分析与系统接入,持续优化数据口径与展示逻辑,提升报表可用性与决策价值。
包括英文材料
学历+
企业资源规划+
https://news.sap.cn/2024/06/erp%E7%B3%BB%E7%BB%9F%E4%BB%8B%E7%BB%8D/
ERP(企业资源规划)系统是一种集成管理软件,旨在帮助企业有效管理资源、优化业务流程和提高生产效率。
[英文] What is ERP?
https://www.oracle.com/erp/what-is-erp/
Enterprise resource planning (ERP) refers to a type of software that organizations use to manage day-to-day business activities such as accounting, procurement, project management, risk management and compliance, and supply chain operations.
[英文] What is ERP?
https://www.sap.com/products/erp/what-is-erp.html
Enterprise resource planning (ERP) is a software system that helps organizations streamline their core business processes—including finance, HR, manufacturing, supply chain, sales, and procurement—with a unified view of activity and provides a single source of truth.
Oracle+
[英文] Oracle Tutorial
https://www.oracletutorial.com/
On this website, you can learn Oracle Database fast and easily.
https://www.youtube.com/watch?v=QHYuuXPdQNM&list=PL_c9BZzLwBRJ8f9-pSPbxSSG6lNgxQ4m9
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
还有更多 •••