苹果Automation Engineer – Machine Learning

Responsible for the design of supply chain marketing collaboration and sales planning products. By deconstructing traffic and marketing systems, connect business plans and goals with sales planning, marketing, and traffic promotion activities. Translate business objectives into sales plans that provide certainty for inventory planning, ensuring accuracy in sales forecasting and reliability in supply chain replenishment. Design systematic product solutions and establish a structured retail supply chain product system. Based on industry trends and business development goals, design scenario-based marketing tools and supply chain collaboration mechanisms. Drive cross-departmental resource integration to ensure product solutions are effectively implemented in key scenarios such as merchant operations and inventory management. Continuously enhance the certainty of marketing strategies, traffic mechanisms, and the supply chain system. Lead the construction of mid- to long-term product architecture. While ensuring product flexibility, build a scalable platform for supply chain marketing collaboration. Promote data standardization and process automation to develop industry-leading scenario-based solutions.

- Drive User Acquisition - Optimize user acquisition funnels across all channels by designing landing pages, referral programs, and viral loops that reduce CAC while scaling volume efficiently. - Maximize User Activation - Own the onboarding experience and define the critical "Aha moment." Ensure new users experience core product value within their first session to establish immediate engagement. - Boost User Retention - Build habit-forming features and engagement loops through strategic push notifications, email campaigns, and in-app prompts that drive consistent user return and long-term engagement. - Scale Experimentation - Run 10+ experiments weekly and cultivate a data-driven testing culture across all elements—from UI components to complete user flows. Base all decisions on statistical significance rather than opinions. - Cross-functional Leadership - Partner with Engineering, Data Science, Marketing, and Design teams to rapidly ship growth features at startup speed within a larger organizational structure.

1、负责供应链营销协同和销量计划产品设计，通过对流量、营销体系的拆解，将经营计划与经营目标与销售计划与营销和流量推广行为关联，转化为销售计划对供应链库存计划的确定性，确保销售计划达成的准确性与供应链补货计划的确定性，设计体系化的产品解决方案，沉淀零售供应链产品体系； 2、结合行业趋势与业务发展目标，设计场景化营销工具及供应链协同机制，推动跨部门资源整合，确保产品方案在商家运营、库存管理等关键场景的落地执行，持续提升营销策略、流量机制与供应链体系的确定性； 3、主导中长期产品架构搭建，在保障产品灵活性的基础上，构建可扩展的供应链营销协同平台，推动数据标准化与流程自动化，形成行业领先的场景化解决方案。 1. Responsible for supply chain marketing collaboration, sales plan product design. By breaking down traffic and marketing systems, associate business plans and sales plans with marketing and traffic promotion behaviors, and converting them into the determination of supply chain inventory plans. Ensure the accuracy of sales plan achievement and the certainty of supply chain replenishment plans. Design systematic product solutions to establish a retail supply chain product system. 2. Combine industry trends and business development goals to design scenario-based marketing tools and supply chain collaboration mechanisms. Promote cross-departmental resource integration to ensure the implementation of product solutions in key scenarios such as business operations and inventory management. Continuously improve the certainty of marketing strategies, traffic mechanisms, and supply chain systems. 3. Lead the construction of medium- and long-term product architecture. Based on ensuring product flexibility, build an expandable supply chain marketing collaboration platform to promote data standardization and process automation, forming industry-leading scenario-based solutions.

1. 商业化增长战略与规划 制定并落地商业化增长战略，覆盖不同平台广告类型的变现模式，确保收入规模和ROI持续增长。 设计长期商业化路径，优化定价、用户分层、营销激励等，推动业务可持续增长。 关注行业动态和竞品策略，探索新的商业化模式和增长机会。结合市场环境，优化定价、激励机制，提升广告产品offer竞争力。 2. 运营体系搭建与优化 优化商业化运营体系，包括广告主教育、投放策略、漏斗优化策略等. 建立标准化流程和运营机制，实现商业化产品的自动化、智能化运营。 规划并执行推广活动，推动广告主/商家入驻并提升付费意愿。 设计营销工具、活动方案，如折扣、返利、激励等，提升广告投放量和商家参与度。 3. 数据驱动增长与商业决策 优化数据指标体系，深度分析用户/商家行为，驱动商业化策略迭代。 设计数据工具和分析框架，提升收入预测、市场细分、精准营销等能力。 通过A/B测试和实验设计，提升广告主和商家的投放效率和LTV。 结合财务模型（如ARPU、LTV ,ROI等），制定商业优化方案，实现收入最大化。 4. 高效跨部门协作与团队管理 协同产品、技术、市场、销售团队，共同推进商业化目标落地。 推动商业化产品的技术开发与创新 -------------------------------------------------------- 1. Monetization Growth Strategy & Planning - Develop and implement a monetization growth strategy, covering monetization models across various advertising platforms to ensure sustainable revenue growth and ROI improvement. - Design a long-term monetization roadmap, optimizing pricing, user segmentation, and incentive mechanisms to drive sustainable business expansion. - Stay updated on industry trends and competitor strategies, exploring new monetization models and growth opportunities. Adapt pricing and incentive structures based on market conditions to enhance the competitiveness of advertising offerings. 2. Operational System Development & Optimization - Optimize the monetization operations framework, including advertiser education, ad placement strategies, and funnel optimization. - Establish standardized processes and operational mechanisms to achieve automation and intelligent monetization operations. - Plan and execute promotional campaigns to attract advertisers and merchants while increasing their willingness to pay. - Design marketing tools and promotional programs, such as discounts, cashback, and incentive schemes, to boost ad spend and merchant engagement. 3. Data-Driven Growth & Business Decision-Making - Refine key data metrics and analytical frameworks to gain deep insights into advertiser and merchant behaviors, driving continuous strategy iteration. - Develop data tools and analytical models to enhance revenue forecasting, market segmentation, and precision marketing. - Leverage A/B testing and experimental design to improve advertiser efficiency and lifetime value (LTV). - Utilize financial models (e.g., ARPU, LTV, ROI) to develop business optimization plans that maximize revenue potential. 4. Cross-Functional Collaboration and stakeholder management -Work closely with product, technology and commercial teams to ensure the successful execution of monetization strategies. -Drive technological development and innovation in monetization products to enhance revenue efficiency.