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Fujitsu

Bangalore Technical Product Manager Ka

Manager or leadProduct

Listed on Fujitsu’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.

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Job description

Fujitsu’s 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.

Website

https://www.fujitsu.com/global/about/research/ Job Title : Technical Product Manager – AI Location : Bangalore Experience : 12 – 15 Years About the Team: Our MVP Engineering (MVPE) team is focused on transforming breakthrough research into real-world solutions. This team works at the intersection of AI research, engineering, and product, driving rapid MVP development cycles to convert cutting-edge innovations—especially in AI, Data, and Security—into high-quality, customer-ready beta solutions.

The charter is to bridge research and real-world application, enabling faster validation, adoption, and commercialization of innovations.

The Mission

We don’t just maintain; we build. As a Technical Product Manager in our MVPE group, you will sit at the bleeding edge of AI. Your mission is to scout high-potential research prototypes, architect them into viable MVPs, and lead the charge in commercializing these solutions for global enterprise clients. You are the "Translator" who turns stochastic research outputs into deterministic business value.

Key Responsibilities

Prototype to MVP: Evaluate raw research outputs from our AI Research teams and define the roadmap to transform them into scalable, demo-ready MVPs.

Execute and track

Help team execute these roadmaps for building MVPs in short time, check and tune their focus to bring real product shaping up. Conduct surveys and help test beta applications to make it close to customer expectations.

Customer Evangelism & Demos

Act as the primary technical face for clients. Conduct deep-dive demos of Gen-AI capabilities, manage technical objections, and lead high-stakes pilot programs.

Closed-Loop Feedback

Synthesize field feedback from pilots to provide "Research Requirements" back to the labs and "Engineering Requirements" to the dev teams.

End-to-End Engineering Ownership

Oversee the transition from a "working notebook" to a production-grade system—including scaling, deployment architecture, and long-term maintenance.

Stakeholder Management

Balance the exploratory nature of Research teams with the aggressive commercial timelines of Marketing and Sales.

Team Leadership

Lead a high-output full-stack team of PMs/Engineers, setting OKRs that reward both technical breakthrough and successful market adoption.

What We’re Looking For

Gen-AI Mastery: Deep, hands-on experience with LLM orchestration, prompt engineering, fine-tuning workflows, and the deployment of RAG (Retrieval-Augmented Generation) systems. 12–15 Years Journey: A career path that shows a move from core engineering/research into high-impact product leadership.

Commercial Instinct

Proven experience in "zero-to-one" product journeys—taking a concept from a pilot to a revenue-generating commercial product.

Operational Rigor

Knowledge of CI/CD for ML (ML Ops), containerization (Docker/K8s), and cloud-scale deployment strategies.

Academic Background

Bachelor’s / master’s in computer science, AI/ML, or a related field (Ph.D. is good to have).

  • Ability to understand and engage with research concepts and discuss architecture with technical teams Success in This Role: Research ideas translated into high-quality MVPs within short cycles
  • Strong adoption in pilots and early customer engagement Clear feedback loop improving both product and research outcomes Why Join Us: Opportunity to work at the intersection of cutting-edge AI research and real-world impact
  • Build products from zero to one in a high-visibility environment
  • Collaborate with global research teams and leading experts Play a key role in shaping how innovation transitions into business value

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