AI Product Manager - Customer Strategy Department, Platform Strategy Supervisory Department
On-siteTokyo, Tokyo, Japan
Job Summary
Own assigned AI products end-to-end, from hypothesis design and requirement definition to launch and continuous improvement. Structure ambiguous problems to decide between AI and non-AI solutions, defining value hypotheses, KPI trees, and operational guardrails. Drive execution with cross-functional teams by specifying data requirements, logging design, and labels, then operate iteration loops based on A/B tests and online evaluation. Take responsibility for key business outcomes like usage, engagement, and revenue while monitoring AI proxy metrics such as precision, recall, and hallucination rates. Embed privacy, security, and compliance into product design, preparing rollback plans and managing performance degradation. Align with stakeholders across business, marketing, UX, engineering, legal, and security to manage progress and risks, synthesizing diverse perspectives into unified thinking.
Required 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)
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