Senior Product Intelligence Analyst, Product Management

Location: LOC3347:9-10/F, Building N1, Fusion New Bund, No. 8, Lane 131, New Bund Avenue, Pudong, Shanghai, China 工作职责 | Responsibilities 一、产品机会情报（约40%） 1. Product Opportunity Intelligence (~40%) 搭建并运营自动化数据采集体系，覆盖政府投资公告、项目批复、土地出让、招投标平台、行业媒体等数据源 Build and operate automated data collection pipelines covering government investment announcements, project approvals, land transactions, tender platforms, and industry media 利用LLM解析非结构化文档（招标文件、政府批文、行业报告），提取关键信息 Apply LLMs to parse unstructured documents (tender documents, government approvals, industry reports) and extract key information 建立重点项目早期预警机制，向销售团队推送高价值线索 Establish early-warning mechanisms for key projects, delivering high-value leads to the sales team 二、竞争与投标分析（约30%） 2. Competitive & Bid Analysis (~30%) 持续追踪主要竞争对手的中标动态、市场策略和产品动向，输出定期简报 Track competitors' contract awards, market strategies, and product moves; deliver regular intelligence briefings 采集、清洗、结构化投标数据，支持成标/丢标分析，为Pricing团队提供数据输入 Collect, clean, and structure bidding data to support win/loss analysis and provide data inputs for the Pricing team 三、知识库与AI工具建设（约30%） 3. Knowledge Base & AI Tooling (~30%) 协助搭建各国电梯标准与工程偏差（deviation）知识库（RAG应用）：将工程团队的历史案例与各国标准文档工具化，供海外销售快速查询"工厂改造 vs 现场改造"等决策参考（工程判断由工程团队提供并审核） Help build a knowledge base (RAG application) of country-specific elevator codes and engineering deviations: turn the engineering team's historical cases and standards documents into a queryable tool for overseas sales, covering decision references such as "factory vs. field modification" (engineering judgments provided and validated by the engineering team) 主动识别销售及产品流程中可自动化、可AI赋能的环节，快速构建原型并推动落地 Proactively identify sales and product processes that can be automated or AI-enabled; rapidly prototype and implement solutions 任职要求 | Qualifications 必须项 | Must-haves 本科及以上学历，计算机、数据科学、统计、信息管理或相关专业 Bachelor's degree or above in Computer Science, Data Science, Statistics, Information Management, or related fields 5年以上数据分析/数据工程经验，有端到端独立交付的项目经历（从数据采集到分析呈现），能独立对接业务方并推动方案落地 5+ years in data analytics/data engineering, with proven end-to-end project delivery experience (from data acquisition to analysis and presentation); able to independently engage business stakeholders and drive solutions to implementation 熟练使用Python，有扎实的自动化数据采集实战经验（Scrapy/Requests/Playwright等） Proficiency in Python with solid hands-on experience in automated data collection (Scrapy/Requests/Playwright, etc.) 有LLM应用落地经验：熟悉主流大模型API、Prompt设计、文档解析（OCR/RAG） Practical LLM application experience: mainstream LLM APIs, prompt engineering, document parsing (OCR/RAG) 熟悉中国公开数据生态（政务公开平台、招投标平台、企业信息查询等） Familiarity with China's public data ecosystem (government disclosure platforms, tender platforms, corporate registries, etc.) 良好的英文读写能力（涉及国际标准文档及海外市场信息） Good written English proficiency (for international standards documentation and overseas market information)