At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age.

With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).

Product Manager / Product Builder AI Incubation

We are an AI incubation team within Fujitsu’s Global Technology Strategy Unit, turning research breakthroughs and early customer signals into enterprise-ready AI products. Our work spans applied AI systems including workload orchestration, vision, agentic systems. This is a hands-on product-builder role on a small team. You will own the messy middle between research and revenue: shaping early technical capabilities into clear product direction, validating them with customers, driving rapid productization, and helping launch the first enterprise deployments.

This is not a spec-writing-only PM role. You may be defining product strategy one day, shaping a customer demo the next, writing a launch deck, aligning engineers and researchers, or helping technical sales land the first design partner. If you want ownership from research handoff to real customer impact, this role is built for you.

What you’ll own

• Define product vision, MVP scope, and roadmap for emerging AI capabilities coming out of research.
• Translate prototypes, PoCs, and early IP into clear product direction, customer value, and launch plans.
• Identify wedge use cases, target customers, GTM narrative, and first revenue opportunities.
• Partner closely with research, engineering, technical sales, solution architects, and business stakeholders.
• Shape early customer engagements including demos, PoCs, deal support, deployment planning, and production-readiness tradeoffs.
• Drive rapid productization cycles, moving from early signal to launch-ready product within months.
• Create the artifacts that move work forward: product briefs, requirements, demo narratives, decks, documentation, positioning, and internal decision docs.
• Incorporate customer feedback and prepare products for handoff to scaling business units.

What we’re looking for

• 5–8+ years in product management, technical product management, product builder, founder, or similar roles.
• Strong technical foundation in AI/ML, computer science, engineering, data science, robotics, physics, or equivalent hands-on technical experience.
• Working fluency with modern AI systems, such as generative AI, agents, VLMs, model serving, ML workflows, AI infrastructure, or applied AI products.
• Experience turning ambiguous technical capabilities into product direction, MVP scope, customer value, and launch plans.
• Proven 0→1 or research-to-product experience in fast-moving, ambiguous environments.
• Experience with enterprise customers, including PoCs, pilots, deployments, production rollouts, or technical sales collaboration.
• Strong communication across research, engineering, sales, executives, and customers.
• Comfort operating lean and hands-on, without relying on a large supporting product, PMM, or sales enablement org.

Strong pluses

• PhD, Master’s, or equivalent deep technical experience in AI/ML, computer science, engineering, robotics, physics, or related fields.
• Business-level Japanese, especially for collaboration with global research, engineering, and business teams.
• Startup, founder, or founding-team experience where you personally drove product, customer discovery, and early GTM.
• Top-tier strategy consulting experience, if paired with hands-on technical, product, or startup execution.
• Big tech experience launching AI, infrastructure, enterprise software, developer platform, or applied ML products.
• Experience bringing AI products from PoC to production in enterprise environments.

Why this role

• Direct access to frontier AI research, infrastructure, and emerging IP.
• Real ownership from product vision to customer validation, launch, and early revenue.
• A small team where your work visibly ships and materially shapes the product direction.
• Exposure across research, product, GTM, customer deployment, and global business stakeholders.
• An exciting opportunity to build AI products that move beyond demos into real enterprise environments.

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