Technology Product Manager/Technical Architect

Key Responsibilities:

1. Analyze and be able to use Fujitsu's cutting-edge technologies, related to but not limited to neural network models (LLM, ViT, GANs, etc.), machine learning, Quantum Computing, and other advanced technologies.
2. Integrate Fujitsu's technologies with client products: 
3. Serve as a technical liaison between Fujitsu and clients: 
4. Drive innovation and business growth: 
5. Continuously enhance technical skills and industry knowledge.

• Customize solutions to meet specific client requirements.
• Modify existing products for seamless integration.
• Design intuitive user interfaces to enhance user experience.
• Ensure scalability and performance of integrated solutions.
• Conduct discovery sessions to understand client needs and pain points.
• Explain complex technical concepts to both technical and non-technical stakeholders.
• Develop and deliver technical presentations and demonstrations.
• Offer proactive solutions to address client challenges.
• Develop proof-of-concept (PoC) products showcasing Fujitsu's capabilities.
• Articulate Fujitsu's value propositions to startups and potential clients.
• Integrate Fujitsu technologies with startup products, fostering partnerships.
• Identify new market opportunities and contribute to product strategy.

Required Skills and Qualifications:

• Strong proficiency in Python, PyTorch, Transformer, REST APIs, and JavaScript.
• Experience with Git, CI/CD pipelines, cloud services (AWS, Azure, or GCP).
• Ability to read and comprehend complex technical documentation.
• Knowledge of microservices and cloud-based architecture.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills, explaining technical concepts to various stakeholders.
• Master's degree in EECS or related field with 5+ years of relevant experience, or Ph.D. with 1+ year of experience.

Preferred Qualifications:

• Publications in SCI-indexed journals or top-tier conferences in STEM.
• Experience in one or more areas: Consumer Electronics, IoT, Manufacturing, Quantum Computing, and Materials Science.