会社名

楽天グループ株式会社

会社概要

未来を信じ、より良い明日を創っていく。
イノベーションを通じて、人々と社会をエンパワーメントする。私たちは、そんな想いを大切に世界の人々に喜びと楽しさを届けます。
楽天は、E コマース、FinTech、デジタルコンテンツ、通信など、70 を超えるサービスを展開し、世界10 億以上のユーザーに利用されています。
これら様々なサービスを、楽天会員を中心としたメンバーシップを軸に有機的に結び付け、他にはない独自の「楽天エコシステム」を形成しています。ダイバーシティ推進は、楽天にとって最優先の企業戦略のひとつです。従業員の出身は70カ国・地域以上。世界中からユニークで多様な文化的背景や視点を持つ優秀な人材が集まり、イノベーションの原動力になっています。社内カフェテリアにはベジタリアン、ハラル対応のメニューを用意。礼拝所（Prayer room）もあります。
また、仕事と育児の両立支援や、障がい者雇用・活躍促進も積極的に推進。社内のLGBT（※1）当事者やアライ（※2）に対して、情報共有やサポート体制の強化も進めています。誰もが自分らしく力を最大限発揮して働ける。それが楽天のダイバーシティです。

70を超えるサービスを提供し、世界30カ国にサービス展開拠点を持ち、従業員の出身国・地域数は100を超え、オープンポジション制度を活用して多様なキャリアを描くことができる点も魅力です。
フレックスタイム制度、事情に応じたリモートワークの活用が可能です。本社には託児所やフィットネスジム、三食無料で利用可能なカフェテリアが併設されるなど、社員を支える環境が整備されています。

ポジション

1033174　Senior Product Manager - GPU Optimization Department (GPUOD)

仕事内容

Job Description:
Business Overview
AI & Data Division (AIDD) spearheads data science & AI initiatives by leveraging data from the Rakuten Group. We build a platform for large-scale field experimentation using cutting-edge technologies to provide critical insights that enable faster, better business decisions and impact. Our division boasts an international culture shaped by talented employees from around the world. Following the strategic vision, “Rakuten as a data-driven membership company,” AIDD is expanding its data & AI-related activities across multiple Rakuten Group companies.


Department Overview
The GPU Optimization Department (GPUOD) is a core part of Rakuten’s AI & Data Division (AIDD). We accelerate AI workloads by operating and productizing GPU capabilities at scale, serving both internal teams and external enterprise customers.

- Manages thousands of enterprise-grade GPUs- Provides GPU access for internal teams running training and inference workloads- Delivers low-latency, cost-optimized Inference as a Service (IaaS), powering Rakuten’s real-time AI applications- Accelerates LLM adoption by optimizing training, fine-tuning, and serving of large language models across the company- Productizing our GPU expertise for external enterprise clients


Position:
Why We Hire
As a Product Manager in GPUOD, you will drive product strategy and execution for our internal AI platform and external B2B platform. You’ll own the full product lifecycle—from market research and competitive analysis to roadmap definition, cross-functional delivery, and commercial readiness. You will translate internal customer needs into a clear roadmap, drive cross-functional delivery with engineering teams, and ensure successful adoption through documentation, enablement, and stakeholder alignment.


Position Details
Key Responsibilities
- Product Strategy & Roadmap: Define vision, positioning, and GTM for both internal and external GPU products. Align with Rakuten’s AI ambitions and enterprise customer needs

- Market Research & Competitive Analysis: Identify gaps, benchmark against cloud providers (AWS, GCP, Azure) and niche players, and determine product–market fit

- Requirements & Feature Definition: Gather input from internal ML teams and external enterprise clients to build a robust product backlog

- Cross-Functional Execution: Lead engineering, infrastructure, SRE, and business teams to deliver scalable, reliable, and monetizable solutions

- Commercial Readiness: Own pricing, chargeback, and packaging for the B2B; work with legal, sales, and finance to ensure smooth customer onboarding

- Adoption & Enablement: Drive user adoption through documentation, workshops, and feedback loops; measure success via usage metrics and business impact

求める経験・スキル

Mandatory Qualifications:
- Over 3 years as a Product Manager for infrastructure, AI/ML platforms, or B2B SaaS
- Experience taking 0-to-1 products to market, including competitor analysis and pricing strategy
- Strong ability to translate ambiguous needs into PRDs, roadmaps, and KPIs
- Track record of partnering with engineering, infra teams, and SRE to build scalable platforms
- Data-driven mindset with experience defining and tracking product and business metrics
- Excellent communication skills in a global, cross-cultural environment (English required, Japanese a plus)

Desired Qualifications:
- Familiarity with GPU/AI infrastructure concepts: Kubernetes, Scheduling & multi-tenancy, Inference serving, MLOps


Additional information on English Qualification
Fluent Level English