director

Fujitsus purpose is to make the world more sustainable by building trust in society through innovation. Fujitsus Research and Development (R&D) is at the forefront of Fujitsu's sustainability transformation strategy, conducting cutting-edge research to tackle social challenges and improve our future world. With our focus on 5 key technologies - Computing, Network, AI, Data & Security, and Converging Technologies - we deliver comprehensive value to our customers by combining them creatively and dynamically.

Fujitsus R&D vision is to create cutting-edge technologies that support society and prioritize the flow of data. Our five key technologies are essential elements for collecting data from all parts of society, transporting it over ultra-high-speed and secure networks, analyzing it with trusted AI, converting it into value, and returning it to society. Central to realizing our strategy and vision are the people behind our R&D initiatives. We strive to foster top-notch talent in the innovation process by nurturing skilled individuals equipped to advance this cause with originality and dedication.

Fujitsus R&D team is strategically located in Japan, North America, Europe, Israel, India, and China to leverage the expertise of global talents to create cutting-edge technologies. Fujitsus trusted technologies are aligned with the UN's Sustainable Development Goals (SDGs) to promote sustainability while protecting the planet. Through open innovation, co-creation, and startup collaboration, Fujitsu's trailblazing technologies underpin the transformation process, working with customers and Fujitsu businesses to solve real-world problems in today's digital society.

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About the Role

We are seeking a highly capable and entrepreneurial Leader of MVPDevelopment to build and lead a new team focused on transformingbreakthrough research into real-world solutions. You will be responsible forrecruiting and managing a team of 1012 cross-functional experts, and fordriving rapid MVP cycles (34 months) that convert research lab technologiesparticularly in AI, data and securityinto testable, high-quality softwaredeliverables, i.e. beta release for our customers and partners.This role is ideal for someone with deep technical expertise in AI and enterprisesoftware, with a strong track record of delivering fast, impactful innovation inambiguous and dynamic environments.

Key Responsibilities

1. Team Building & Leadership

Define hiring needs and lead the recruitment of a new 1012 person team(engineers, product managers, designers).

Establish team structure, workflows, and delivery culture optimized forspeed and quality.

Provide mentorship, performance guidance, and promote a stronginnovation culture.

MVP Execution

Communicate with the team in the U.S. to understand the MVP selectioncriteria, product strategy, and decided spec. Develop the plan for the

assigned MVP to work on.

Lead the full MVP lifecycle from concept to delivery in 34 monthtimeframe.

Work with research teams to translate advanced prototypes into marketrelevantMVPs.

Apply lean product development and agile practices to ensure rapiditeration, validation, and learning.

Technical Strategy & Delivery

Provide hands-on leadership and architectural guidance, especially inAI/ML (e.g., LLMs, generative AI, computer vision).

Ensure technical excellence, scalability, and quality across all MVPs.

Identify and mitigate technical risks early in the cycle.

Deliver all the technical documents.

Stakeholder Collaboration

Communicate with the U.S. team to clearly understand the requirements,strategy, timeline, and priority.

Align MVP selection and delivery with product strategy and roadmap.

Serve as a bridge between researchers, developers, and business teams toensure feasibility and impact.

Report progress and key insights to executive stakeholders.

Qualifications

8+ years of experience in software or product development, including 3+years in AI/ML-focused roles.

3+ years of team leadership or management experience, withdemonstrated success building and scaling teams.

Deep understanding of AI technologies, tools, and deployment pipelines.

Strong track record of delivering MVPs or prototypes in compressedtimeframes (34 months).

Excellent communication and cross-functional collaboration skills.Comfortable working with ambiguity, new technologies, and iterativeexperimentation.

Preferred Qualifications

MS or PhD in Computer Science, AI, or a related technical field.

Experience bridging research and commercialization in a tech transfer,lab, or innovation environment.

Familiarity with cloud platforms, DevOps, and secure AI deployment bestpractices.

Relocation Supported: No

Visa Sponsorship Approved: No