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 : JapaneseExcellent written and verbal communication skills with a sharp customer-first mindset.
Preferred Skills :
Experience building products in AWS cloudFamilarity using ML frameworks and Libraries including HuggingFace, Pytorch, FrameworkUnderstanding of edge AI deployment, sensor data processing, or industrial automation.Exposure to simulation platforms like Unity, Unreal, OmniverseDomain experience in manufacturing, ADAS, or smart infrastructure is a plus.