AI Product Manager

### Job Description This position involves an AI Product Manager in the Platform Strategy Division (PFSD), a corporate organization directly reporting to the COO and Executive Vice President. PFSD is responsible for planning and promoting customer strategies and ecosystem growth measures, with a focus on marketing across the Rakuten Group. ### Specific Job Duties **Strategy/Planning** - Structuring issues and determining optimal solutions, AI/non-AI (including preventing excessive AI). - Defining value hypotheses, target experiences, and KPI trees (business KPIs + AI metrics). - Creating AI PRDs (clarifying use cases, constraints, risks, operational assumptions, and guardrails). **Development Promotion** - Leading the assigned AI product/function, driving requirements definition, implementation direction, release, and improvement. - Organizing data requirements definition (required data, log/measurement design, labels, missing data/quality issues) and forming a mixed team (DS/ML). - Promoting the development of AI (Engineer/Backend/UX, etc.). - Operate a verification design/decision-making/improvement cycle based on A/B testing and online evaluation. **KPI Design and Effectiveness Verification** - Responsible for key KPIs (usage rate, traffic, CVR, campaign effectiveness, LTV, etc.) and continuously create improvements. - Design AI proxy metrics (precision/recall, ranking indicators, task completion rate, hallucination rate, etc.) and continuously monitor and address degradation. - Clarify ROI and next actions based on effectiveness verification (A/B testing, quasi-experiments, log analysis). **Trust/Responsible AI (Basic Design)** - Incorporate privacy, security, compliance, prohibited activities, quality testing, and rollback procedures into specifications to ensure a reliable user experience. - Design based on update operations (monitoring, alerts, re-evaluation). **Stakeholder Engagement** - Reach consensus with Business/Marketing/UX/Development/Legal/Security to manage progress, issues, and risks. - Organize recommendations, evidence, risk mitigation measures, and next steps to move decision-making forward. ### Job Requirements - Experience driving product development while meeting business KPIs such as revenue and customer satisfaction. - PM or director experience in large-scale web/app or platform areas. - Experience in requirements definition, implementation direction, and post-release improvements. - Data/experiment-based decision-making (A/B testing, effectiveness measurement, metric design, trade-off judgment). - Basic understanding of machine learning/generative AI (promotion with an understanding of data dependency, probabilistic behavior, error assumptions, and operational/degradation assumptions). - Ability to create products quickly in uncertain environments. - Ability to integrate diverse perspectives (UX/creative/marketing/business/development). - Ability to move between the abstract and the concrete (concept/insight/requirements/implementation). - Problem-solving skills, drive, and initiative. - Work experience in English. - Native-level Japanese proficiency. ### Preferred Requirements - Work experience in recommendation/optimization/personalization, or generative AI/agent-based products. - ML Ops/Data: Experience in operational design in conjunction with Ops/data infrastructure and governance. - Practical experience in responsible AI (privacy, security, bias, explainability, etc.). - Team lead/development experience.