As a Deal Desk Manager, you will deliver deal structuring and pricing support for the Japan, Korea and Taiwan sales verticals. The role focuses on mitigating risks and identifying improvement opportunities in complex transactions and sales territories using data-driven insights. You will also develop solutions to help Deal Desk and deal processes scale with the evolving needs of the business.
Deployment Strategists advise enterprise customers on AI strategy, design agentic solutions, and lead customer engagements from discovery through deployment and adoption. They coordinate delivery teams and manage engagement outcomes, working alongside Forward Deployed Engineers to help customers realise lasting value from deployed solutions.
Senior AI Engineers lead the development of AI-powered features, owning LLM integrations, agentic workflows, prompt design, and evaluation from design through production. They define AI integration patterns for their pod, contribute production-grade code, and collaborate with Software Engineers to build customer-facing AI capabilities.
As an MLOps engineer on the AI/LLM team, you will own production serving, deployment, and operations for machine learning and LLM models in a cloud-native environment. The role includes model inference orchestration, serving and deployment, performance optimization, monitoring and reliability, model quality evaluation, and enabling research-to-production workflows. The platform serves tens of millions of users.
The Senior AI Engineer will embed in a business unit engineering team to design, build, evaluate, and ship agents using in-house or open-source LLMs. The role includes taking agents from prototype to production, migrating from third-party APIs, and creating reusable implementation guidance for other teams. The position focuses on product integration rather than training foundation models or building the LLM platform.
The Software Engineer will join the Ad Product Section (APS) team and contribute to the next generation of Rakuten’s advertising platform. The role includes owning the full SDLC, designing scalable systems, conducting code reviews, and integrating AI-powered coding tools and workflows. It also involves collaboration across Product, Design, and Engineering, as well as mentoring junior engineers and interns.
Data Stewardとして、AI-Readyなデータ基盤の構築を推進し、データの収集・管理・整備を通じてその価値を最大化します。全社のデータに共通のビジネス文脈を与え、メタデータ管理、データカタログやリネージの整備、セマンティックレイヤーの構築、データガバナンスと品質管理を担います。事業部門との合意形成や活用推進を通じ、全社的なデータドリブン改革を実現します。