Product Management-AI/ML

Job Description:

• Product Strategy & Vision
• Define and evolve product vision and roadmap for AI/ML solutions with a focus on computer vision and digital twin applications.
• Identify and prioritize high-impact use cases where digital twins can drive measurable business value.
• Backlog & Requirement Management
• Own the product backlog and collaborate with cross-functional teams to convert business needs into clear, actionable user stories.
• Balance technical feasibility, user needs, and business value to make trade-off decisions.
• AI & Computer Vision Expertise, Digital Twin Application
• Partner with data scientists and engineers to design, evaluate, and iterate on ML models, particularly in computer vision domains (e.g., object detection, visual inspection, scene understanding).
• Ensure ethical, explainable AI practices and appropriate dataset usage in model development.
• Translate the concept of digital twin into viable product features (e.g., simulations, real-time monitoring, predictive maintenance).
• Work with domain experts to model real-world systems digitally and align them with business goals.
• Stakeholder Communication. Act as the primary liaison between engineering teams, business leaders, and customers.
• Deliver product demos, write release notes, and present the product roadmap and outcomes to stakeholders. Execution & Delivery
• Ensure timely and high-quality delivery of features by managing sprints, prioritizing issues, and removing blockers.
• Drive product adoption, usage metrics, and continuous feedback loops for improvement.

You are a successful candidate if you have

• 7+ years of product management or ownership experience, preferably with ML/AI-based products .
• Hands-on experience delivering computer vision-based applications (industrial inspection, autonomous systems, etc.).
• Familiarity with digital twin technologies, IoT data integration, and real-time simulation use cases.
• Strong understanding of ML concepts (model lifecycle, annotation, model performance metrics, etc.).
• Experience with agile methodologies and tools like JIRA, Confluence, etc.
• Bilingual: Japanese
• Excellent written and verbal communication skills with a sharp customer-first mindset.

Preferred Skills:

• Experience building products in AWS cloud
• Familiarity using ML frameworks and Libraries including Hugging Face, Pytorch, Framework
• Understanding of edge AI deployment, sensor data processing, or industrial automation.
• Exposure to simulation platforms like Unity, Unreal, Omniverse
• Domain experience in manufacturing, ADAS, or smart infrastructure is a plus.