Product Owner- Gen AI

We are seeking a Product Owner with experience in leading requirements and defining vision for GenAI, Machine Learning, and datadriven product development. In this role, you will define the vision, roadmap, and execution strategy for AIpowered products that transform customer experiences and operational efficiency. You will work closely with engineering, data science, UX, and business stakeholders to deliver scalable, highimpact AI capabilities., * Own the endtoend product lifecycle for GenAI and AI/ML initiatives from ideation to launch and continuous improvement.

• Define and communicate a clear product vision, strategy, and roadmap aligned with business goals.
• Translate complex AI/ML concepts into actionable requirements, user stories, and acceptance criteria.
• Partners with Data scientists and ML engineers to shape model development, evaluation, and deployment.
• Prioritize the product backlog based on customer value, feasibility, and business impact.
• Drive experimentation, POCs, and rapid prototyping for GenAI use cases (LLMs, RAG, copilots, automation).
• Ensure responsible AI practices, including model governance, data privacy, and ethical considerations.
• Collaborate with UX to design intuitive AIpowered user experiences.
• Track product performance using datadriven KPIs and iterate based on insights.
• Communicate progress, risks, and outcomes to executive stakeholders.

• 5+ years of experience as a Product Owner or Product Manager, with at least 1+ years in AI/ML or GenAI products.
• Strong understanding of LLMs, prompt engineering, RAG architectures, vector databases, model evaluation, and ML lifecycle.
• Experience working with crossfunctional teams in agile environments.
• Ability to translate technical AI concepts into business value and usercentric features.
• Proven track record of launching AIpowered products at scale.
• Excellent communication, prioritization, and stakeholdermanagement skills.

Preferred Qualifications

• Familiarity with cloud platforms and MLOps frameworks.
• Familiarity with data engineering pipelines, feature stores, and model monitoring.
• Familiarity in NLP, computer vision, or predictive analytics.
• Experience integrating GenAI into enterprise workflows (chatbots, copilots, automation, content generation).
• Certifications in Product Ownership, Agile, or AI/ML