阿里巴巴AI Business-User Growth Manager-Hangzhou
任职要求
Minimum Qualifications
- Bachelor degree or above;
- Minimum 3 years of social media operations expertise, including global (e.g., Meta, LinkedIn, TikTok)
- Proficiency in running paid advertising campaigns and coordinating SEO
- Proven track record in running successful user growth campaigns for consumer apps
- Proficiency in analytics tools like Google Analytics and Google Search Console
- Fluency in English and Chinese; Any other European language is a plus.
- Have an international background and understand overseas user behavior
- Strong logic, the ability and awareness of continuous thinking, and the ability to continuously explore the essence of the problem;
- Data-driven, love to use data and formulas to measure and express, sensitive to data changes;工作职责
Responsibilities - Develop and execute user growth strategies for Al consumer apps and websites, covering the full lifecycle of user acquisition, activation, retention and referral. - Own user acquisition and growth initiatives via influencer marketing, paid media, community operations, and content distribution. - Continuously monitor trends, user feedback and user behavior analytics in target markets to gather market insights. - Develop product positioning strategies based on market research, user behavior analysis and competitor benchmark. - Collaborate cross-functionally with product, engineering, design, and operations teams to rapidly ® iterate and launch growth initiatives. - Initiate and manage cross-channel growth strategies, including social media (Meta, TikTok, LinkedIn), community operations and event marketing. - Build and manage user communities (Discord, Facebook Groups, Reddit, Telegram, etc.) to increase engagement and retention. - Plan and execute global influencer campaigns (KOL/KOC), identify top-performing creators, and track ROl and conversions. - Drive organic content growth on platforms like TikTok, Instagram, and YouTube Shorts to acquire users at low cost. - Run and optimize paid advertising campaigns (Meta, TikTok, Google, etc.), including creative testing and budget allocation. - Coordinate SEO strategy and execution to improve product visibility on international search engines. - Analyze channel performance and user acquisition metrics, and build repeatable growth playbooks. - Establish user insights frameworks, leveraging data analytics to identify high-value user characteristics.
•Own the strategy, roadmap, and delivery of B2C AI-powered software products with a strong focus on user value and business impact. •Define product goals and success metrics aligned with company’s focused local strategy and ensure execution through effective planning and cross-functional collaboration. •Work closely with R&D teams to translate high-level product vision into clear, technically feasible development plans. •Drive product prioritization based on business value, technical complexity, and user impact. •Continuously analyze user data, market trends, and competitive landscape to identify new opportunities and areas for product evolution. •Manage the end-to-end product lifecycle, including launch strategies, performance tracking, and iteration based on feedback and analytics. •Collaborate with stakeholders across engineering, business, operations, and compliance to ensure delivery excell
Product Strategy & Development • Lead the development of AI-driven product strategies to drive NBS AI penetration • Identify growth opportunities across seller segments and lifecycle stages • Design and implement AI solutions that enhance seller success metrics and operational efficiency • Drive efficiency and productivity of seller recruitment, account management or go-to-market activities • Lead continuous product optimization based on user feedback Technical Leadership • Partner with data science and engineering teams to develop and implement AI/ML solutions • Define clear technical requirements and success metrics for AI-powered features • Oversee development cycles and ensure successful deployment of solutions • Drive data-informed decision making across product initiatives Stakeholder Management • Lead cross-functional collaboration between central product and program management teams, technical teams, business stakeholders, and external partners • Drive effective communication of product strategy, roadmap, and impact analysis to leadership • Manage change initiatives and stakeholder alignment across CN team and MP teams
Product Strategy & Development • Lead the development of AI-driven product strategies to drive NBS AI penetration • Identify growth opportunities across seller segments and lifecycle stages • Design and implement AI solutions that enhance seller success metrics and operational efficiency • Drive efficiency and productivity of seller recruitment, account management or go-to-market activities • Lead continuous product optimization based on user feedback Technical Leadership • Partner with data science and engineering teams to develop and implement AI/ML solutions • Define clear technical requirements and success metrics for AI-powered features • Oversee development cycles and ensure successful deployment of solutions • Drive data-informed decision making across product initiatives Stakeholder Management • Lead cross-functional collaboration between central product and program management teams, technical teams, business stakeholders, and external partners • Drive effective communication of product strategy, roadmap, and impact analysis to leadership • Manage change initiatives and stakeholder alignment across CN team and MP teams
• Own the strategy, roadmap, and delivery of B2C AI-powered software products with a strong focus on user value and business impact. • Define product goals and success metrics aligned with company’s focused local strategy and ensure execution through effective planning and cross-functional collaboration. • Work closely with R&D teams to translate high-level product vision into clear, technically feasible development plans. • Drive product prioritization based on business value, technical complexity, and user impact. • Continuously analyze user data, market trends, and competitive landscape to identify new opportunities and areas for product evolution. • Manage the end-to-end product lifecycle, including launch strategies, performance tracking, and iteration based on feedback and analytics. • Collaborate with stakeholders across engineering, business, operations, and compliance to ensure delivery excellence and cross-team alignment.