阿里巴巴Miravia-Monetization Growth Lead-Monetization

任职要求

具有商业化策略落地经验，能够推动高增长、并具备跨部门影响力的人才

经验要求：5年以上商业化运营、广告变现、增长策略相关经验
战略思维：有系统性的商业化规划能力，能够平衡短期增长和长期收益。
数据驱动：具备高级数据分析能力，熟悉SQL
跨团队影响力：能在复杂组织架构中推动跨部门协作，影响高层决策。
国际化视野：有全球化/区域市场商业化经验优先，需英语流利.
行业背景：具备互联网、广告、电商等行业商业化经验。

加分项：
具备大型广告平台商业化体系经验。
具备商业化产品建设经验，如智能投放、广告算法、实时竞价等。
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Proven Monetization Strategy Execution with High-Growth Impact and Cross-Functional Influence

Requirements
1. 5+ years of experience in monetization operations, ad monetization, or growth strategy.
2 .Strategic Thinking:Strong systematic monetization planning skills, capable of balancing short-term growth and long-term profitability.
3. Data-Driven Approach: Advanced data analysis skills, with p…

工作职责

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
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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.