AI PM - Customer Strategy Department Platform Strategy Supervisory Department

**Job Description:** **Department Overview** Rakuten Group, headquartered in Japan, serves approximately 100 million customers domestically and operates in 30 countries globally. We provide 70+ services across e-commerce, payments, financial services, telecommunications, media, and sports. We are hiring an AI Product Manager for the Platform Strategy Supervisory Department (PFSD), a corporate organization reporting to top management (COO/Vice Chairman office). PFSD is responsible for group-wide customer strategy and ecosystem growth initiatives, rather than operating any single service. In this role, you will leverage Rakuten’s core platform assets-Points, Coupons, Brand, and customer data-together with AI (machine learning, generative AI, and agent-like experiences) to build and scale products that deliver both customer value and business impact. \*Corporate organization: cross-functional teams such as Corporate Planning, CEO Office, HR, General Affairs, Finance/Accounting, and Legal. Key Features of the  Platform Strategy Supervisory Department 1\. Discipline as a Professional Team: "5C" The  Platform Strategy Supervisory Department  Administration & Organization Section  values five key principles as a professional team. By leveraging Rakuten's vast assets, the department aims to make a significant social impact and enhance customer satisfaction. The team fosters a culture of enjoying challenges, even in situations of high uncertainty. \- Challenge to innovate \- Customer-oriented \- Concept-driven \- Cross-functional \- Commitment to results 2\. Intentionality We prioritize delivering results through contributions to society, customers, colleagues, and stakeholders, fostering a culture that supports each other's growth and challenges. Department Recruitment Site (Job Descriptions, Member Interviews, etc.) [https://corp.rakuten.co.jp/careers/division/customer\_strategy/(opens in new window)](https://corp.rakuten.co.jp/careers/division/customer_strategy/) **Position:** **Why We Hire** We are expanding the team to accelerate AI product creation and growth-bringing Points/Coupons/Brand/Data to the next stage through machine learning, generative AI, and agent-like experiences. Mission \- Do not “add AI for AI’s sake.” Determine whether AI is the best solution and continuously deliver outcomes through data, experimentation, and operational excellence. \- Leverage Rakuten’s core assets across services to achieve both customer experience value (fun, confidence, convenience) and business KPIs (usage, customer development, revenue, program effectiveness, etc.). Attractiveness \- Leverage Rakuten's massive platform assets (points/coupons/brands/data) to drive high-impact AI products across the group. \- Drive products end-to-end with ownership, from hypothesis design to requirement definition, development promotion, verification, and improvement. \- Design scalable operations (Trust/Quality/Governance) in high-uncertainty domains, making data- and experiment-driven decisions. **Position Details** Strategy & Planning \- Structure ambiguous problems and decide the best approach (AI vs. non-AI), including preventing “over-AI” solutions. \- Define value hypotheses, target experiences, and KPI trees (business KPIs + AI metrics). \- Create AI PRDs clarifying use cases, constraints, risks, operational assumptions, and guardrails. Delivery & Execution \- Own assigned AI product/features end-to-end: requirements, delivery direction, launch, and continuous improvement. \- Define data requirements (necessary datasets, logging/measurement design, labels, gaps and quality issues) and drive execution with cross-functional teams (Data Science/ML Engineering/Backend/UX, etc.). \- Operate an iteration loop based on A/B tests and online evaluation; make decisions and improve continuously. KPI Design & Impact Measurement \- Take responsibility for key business outcomes (e.g., usage, engagement, CVR, program effectiveness, LTV). \- Define and monitor AI proxy metrics (e.g., precision/recall, ranking metrics, task completion rate, hallucination rate) and manage performance degradation. \- Clarify ROI and next actions based on experiments, quasi-experiments, and log analysis. Trust & Responsible AI (Baseline) \- Embed privacy, security, compliance, prohibited cases, quality testing, and rollback plans into product design. \- Design for continuous updates and operations (monitoring, alerts, re-evaluation). Stakeholder Management \- Align with stakeholders across business, marketing, UX, engineering, legal, and security; manage progress, key issues, and risks. \- Prepare recommendations, evidence, mitigation plans, and next actions to move decisions forward. Example Product Concepts \- Personalized optimization of points/coupons (optimizing the entire experience from presentation to issuance and redemption). \- Smart agent transformation of services like PointClub (proposing/promoting optimal point experiences, procedural support, self-service inquiry resolution) \- Expanding brand asset experiences (e.g., Shopping Panda) through generative AI (crossing online/offline channels). \- Advanced marketing/offer decision-making products leveraging group-wide data. **Work Environment** Platform Strategy Supervisory Department consists of approximately 70 members with a roughly balanced gender ratio. The average age is in the early 30s. More than half of the team members have joined Rakuten mid-career, and the organization has a strong onboarding and support environment for experienced hires. Team members come from diverse professional backgrounds, including strategy consulting, IT, platform businesses, startups, telecommunications, and content/media operations, creating a highly cross-functional and collaborative culture. \*We offer a flex-time system (with core hours), enabling flexible work styles. **Mandatory Qualifications:** \- Experience owning products with responsibility for business KPIs (revenue and/or customer satisfaction). \- Product management or director experience for large-scale web/app or platform products. \- Hands-on experience with requirements definition, delivery direction, and post-launch iteration with engineering/creative teams. \- Strong data-driven decision making (A/B testing, measurement design, and trade-off decisions). \- Foundational understanding of ML and/or generative AI (data dependency, probabilistic behavior, and operational degradation). \- The ability to create products with a sense of urgency in uncertain environments. \- The ability to integrate diverse perspectives (UX/Creative/Marketing/Business/Development) into unified thinking. \- Ability to execute in uncertainty with speed, and synthesize across UX, creative, marketing, business, and engineering. \- Problem-solving skills, drive, initiative. \- Work experience in English. \- Native Japanese skills. \- Submission of Japanese Resume. **Desired Qualifications:** \- Experience with personalization/recommendation/optimization or agent-like generative AI products. \- Experience collaborating with ML Ops/Data Ops and data governance for scalable operations. \- Experience with Responsible AI (privacy, security, bias, explainability). \- Experience leading and mentoring team members (No formal management experience required). **Other Information:** **Additional information on Location** Rakuten Crimson House: Futako-Tamagawa **Related Pages** \- Employee Benefits: [https://global.rakuten.com/corp/careers/benefit/(opens in new window)](https://global.rakuten.com/corp/careers/benefit/) \- Employee Conditions: [https://global.rakuten.com/corp/careers/information/(opens in new window)](https://global.rakuten.com/corp/careers/information/) \- Culture: [https://global.rakuten.com/corp/careers/culture/(opens in new window)](https://global.rakuten.com/corp/careers/culture/) #corporate #strategyplanning #operationdiv #AI