知乎广告算法leader

1、开发和迭代CTR预估模型和竞价策略，提升用户增长广告投放点击率、转化率、ROI等核心指标； 2、通过深度学习领域的研发工作，包括但不限于深度模型设计与优化、强化学习、迁移学习、图神经网络等算法和系统提升预估效果； 3、通过召回排序等推荐算法，改善增长广告用户在快手的产品体验。

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.

-基于大规模用户行为，以广告收入业务效果为目标，负责广告竞价系统的核心技术创新与算法优化 -负责竞价广告生态下，客户侧投放优化，洞察行业玩法，建设产品能力，满足广告主差异化诉求 -建立最优的竞价算法策略模型，孵化产品化的解决方案，深入长期的深度转化目标效果提升 -深度挖掘媒体场景、流量信号、用户标签等，持续迭代人群模型和出价策略，降低客户投放成本 -负责从广告系统收益视角，全流程分析并优化检索、排序、拍卖机制等环节，提升商业产品变现能力

-百度闭环电商是百度基于自身平台优势推出的兴趣电商业务，为电商客户提供长效经营推广能力、为用户提供视频/直播推荐等内容电商服务。广告技术方向包括商品&主播推荐召回/CTCVR建模/GMV预估/出价机制/智能投放策略/NLP/AIGC等深度学习方向。明星业务，发展迅猛，机不可失，先到先得 -基于大规模用户行为，以广告收入业务效果为目标，负责在线广告检索系统和投放产品的核心技术创新与算法优化。 -应用机器学习等尖端技术，针对海量信息建模，挖掘潜在电商商业价值 -深入了解电商行业变现玩法，打磨优化内容电商变现策略 -作为技术Leader，带领梯队完成广告收入业务目标