小红书大商业规则运营

工作职责： 1、审核规则制定&优化：依据法规与业务，制定并优化举报/交易/商业化广告审核规则，使其贴合市场与监管要求，保障广告审核有章可循且精准有效；跟踪行业动态，及时调整审核规则，确保规则与时俱进，为广告业务合规运营筑牢根基。 2、大模型驱动的审核规则构建与优化：基于法规与业务场景，设计适配大模型审核能力的举报/交易/广告规则体系，确保规则可被大模型精准理解与执行；主导大模型审核提示词（Prompts）的迭代优化，持续审核准确率与覆盖率； 3、人机审核协同与质量管控：深度分析大模型审核结果（通过率/误杀率/召回率），定位规则或提示词缺陷，驱动模型与规则联合优化；为协作团队提供 “大模型决策逻辑解读”及争议case处理指南，提升人效与一致性。 4、风险研判与应对：深度剖析素材内容，识别各类风险，制定风险化解策略，守护广告业务免受法律、品牌等风险冲击；基于风险评估与审核数据，协同各方优化广告投放策略，推动业务在合规轨道上稳健发展。

用户方向 1.通过数据分析构建用户画像，分析用户交易行为及用户旅程，挖掘trade-in, trade-across, trade-up的驱动因素及转化路径； 2.设计因果推断实验（如A/B测试、双重差分法），量化促销活动、定价策略对用户消费、用户增长的影响，评估广告渠道ROI优化投放策略； 3.构建用户分层模型，识别高价值消费人群，输出定向运营策略（如精准发券、商品推荐），制定留存策略； 4.研究用户生命周期内的消费习惯，结合消费者心理学理论，优化“人-货”匹配效率，提升用户ARPU值。

1、【日常运营】负责阿里国际站北方大区官方自媒体平台（视频号、抖音、小红书等）矩阵搭建、内容策划、制作发布及日常运营，维护账号的评论互动，分析相关数据，配合账号推广，对账号曝光和活跃度负责，加强用户粘性；并根据运营数据定期优化运营策略； 2、【潜客引入】以潜客引入为目的、定位北方大区业务发展和分层画像客户痛点及潜在需求，配合团队进行内容选题和营销策划，最终通过优质内容实现销售线索的引入，并与前线销售团队配合形成业务转化； 3、【模式探索】基于自身行业媒体生态资源，持续不断探索跨境B2B行业的线上获客模式，深入挖掘线上客户转化场景，如策划联合营销活动，推动资源互换、内容共创等合作模式，并沉淀可复制的方法论。

Team and Role Introduction The Assortment, Content & Ads Governance Team (ACAG team) is part of the Lazada’s Risk and Security. It is charged with the mission of developing a comprehensive strategy for Lazada regarding assortment and content to foster a healthy and safe e-commerce environment for our eCommerce ecosystem. 商品分类、内容及广告治理团队（ACAG团队）隶属于Lazada风险与安全部门，其核心使命是为Lazada制定全面的商品分类与内容治理战略，以维护电商生态系统的健康与安全环境。 The role is responsible for the development and execution of strategic initiatives aimed at ensuring our platform's stipulated policies, particularly in assortment compliance and governance, brand governance, are not abused by platform users. You will have access to analytical tools to develop and implement strategies and solutions using data-driven methodologies to reduce inefficient traffic and money allocation by governing assortments with traffic scams, quality issues, regulatory compliance issues, and brand Intellectual Property (IP) rights infringement. 该职位负责制定与执行战略举措，确保平台政策（尤其是商品合规治理、品牌治理相关规则）不被用户滥用。您将利用数据分析工具，通过数据驱动方法开发策略与解决方案，治理涉及流量欺诈、商品质量问题、合规风险及品牌知识产权侵权的商品分类问题，从而减少低效流量与资金分配。 Responsibilities Develop a deep understanding of the eCommerce customer and seller journey, including registration and onboarding, product listing, order placement, payment, user interactions, returns and refunds, user reports and feedback, etc. Develop subject matter expertise on eCommerce platform operation and governance, where rules, strategies, and enforcements are effectively established to ensure users are compliant with platform policies. Lead cross-functional efforts to enhance platform policies and operational mechanisms, fostering a collaborative environment to support ongoing strategy refinement. Work with large data sets to analyze patterns, trends, and modus operandi of platform operation and governance issues (as well as merchants who perpetrate these issues). Make data-driven recommendations on prioritization of controls for platform governance and product compliance. Collaborate with PD, Tech, and Algo counterparts to build machine learning models and rules to detect assortment and user related operation and governance issues on the platform. Operate the risk engine, including the creation and continuous evaluation of rules to prevent and detect platform operation and governance issues. Capture and communicate findings with internal and external stakeholders through dashboards, periodic reports, and presentations. 岗位职责 1/ 深度洞察电商客户与卖家的全流程体验，涵盖注册入驻、商品上架、订单生成、支付、用户互动、退货退款、用户反馈等环节。 2/ 建立电商平台运营与治理领域的专业知识体系，确保规则、策略及执行机制有效落地，推动用户遵守平台政策。 3/ 主导跨职能协作，持续完善平台政策与运营机制，营造协作环境以支持策略迭代。 4/ 基于海量数据集分析平台运营与治理问题的模式、趋势及商家违规手法。 5/ 通过数据分析提出平台治理与商品合规的管控优先级建议。 6/ 协同产品（PD）、技术（Tech）及算法（Algo）团队，构建机器学习模型与规则，检测平台商品分类及用户相关的运营治理问题。 7/ 负责风险引擎的日常运营，包括规则创建与持续评估，以预防和识别平台治理漏洞。 8/ 通过仪表盘、定期报告及演示汇报，向内外部利益相关方清晰传递分析结论与治理成果。