Product Owner

Product Owner Job Description:

Work Location: Chennai or Bangalore

Key Responsibilities:

· 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

· Familarity using ML frameworks and Libraries including HuggingFace, 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.