about the company.
The company has almost 100 million customers based in Japan and 1 billion globally as well, providing more than 70 services in a variety such as e-commerce, payment services, financial services, telecommunication, media, sports, etc.
about the team.
GPUOD
about the job.
- 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, infra, SRE, and business teams to deliver scalable, reliable, and monetizable solutions.
- Commercial Readiness – Own pricing, chargeback, and packaging for the 2B service; 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.
skills and experience required.
- 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)
