楽天ではAIプロダクトマネージャーを募集しています。会話型AIプラットフォームのロードマップを主導し、エンジニアリングチームと連携して製品を高度化します。AI/MLプロダクト管理の3年以上の経験とSQL/Pythonのスキルが必須です。日本語(JLPT N2以上)が必須で、東京での勤務となります。
Rakuten Group, a global technology leader based in Japan, provides innovative solutions that enrich the lives of millions worldwide. Our Technology division is pioneering in leveraging cutting-edge technologies to deliver exceptional experiences across our services.
Rakuten's Conversational Experiences Department (CXD) team builds AI-powered customer engagement products across over 70 business units. Our core products include RAPTOR, a multi-agent conversational AI platform powering pre-sales and customer support chatbots for Rakuten Mobile and other BUs; an AI Augmentation suite that surfaces real-time insights for contact centre agents; and a Voice AI product integrating with IVR systems across the Rakuten Group. We are looking for a Product Manager based in Tokyo to drive the productisation and growth of this platform.
Own the product roadmap for AI conversational products (pre-sales chatbot, CS chatbot, voice AI) from discovery through delivery
Define requirements, write PRDs, and drive sprint-ready user stories in close collaboration with engineering and QA teams
Build and maintain evaluation frameworks to measure AI quality across response accuracy, multi-turn dialogue, and personalisation, and translate findings into prioritised improvement roadmaps
Partner with BU stakeholders (Rakuten Mobile and others) to align on requirements, present results, and manage expectations
Drive productisation by packaging one-off BU implementations into reusable, scalable platform components that can be deployed across multiple business units
Monitor KPIs and contribute to quarterly OKR reporting
More than 3 years of product management experience in AI/ML products, strategy products, or data-driven consumer tech
Engineering or technical background (Computer Science, Engineering, or a related field preferred); you should be comfortable reading technical specifications and working directly with engineering teams
Hands-on experience with data analysis, including SQL or Python for querying and exploring datasets, and the ability to interpret model outputs, evaluation metrics, and A/B test results independently
Experience in AI strategy or applied AI products, with a practical understanding of LLM pipelines, RAG systems, or conversational AI architectures
Strong written and verbal communication skills, with the ability to distil complex data into executive-level storylines and drive cross-functional alignment
Japanese language proficiency at JLPT N2 or above, as daily stakeholder communication in Japanese is required
Based in Tokyo or willing to relocate (on-site/hybrid)
Hands-on experience building or evaluating LLM-based systems at the implementation level, such as prompt engineering, evaluation pipeline design, or multi-agent architectures
Background in product analytics or growth strategy, with comfort in setting KPIs, sizing impact, and building data-driven business cases
Prior experience working in a Japanese tech company or with Japanese BU stakeholders
#engineer #productmanager #AI #aianddatadiv
