AI Product Manager/Product Owner – GenAI & AI/ML Solutions

Job Title: AI Product Manager/Product Owner – GenAI & AI/ML Solutions Location: Remote Duration: Long Term Contract Job Description: Role Overview We are seeking a Product Owner with experience in leading requirements and defining vision for GenAI, Machine Learning, and data-driven product development.

In this role, you will define the vision, roadmap, and execution strategy for AI-powered products that transform customer experiences and operational efficiency.

You will work closely with engineering, data science, UX, and business stakeholders to deliver scalable, high-impact AI capabilities.

Key Responsibilities · Own the end-to-end 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 AI-powered user experiences. · Track product performance using data-driven KPIs and iterate based on insights. · Communicate progress, risks, and outcomes to executive stakeholders.

Required Qualifications · 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 cross-functional teams in agile environments. · Ability to translate technical AI concepts into business value and user-centric features. · Proven track record of launching AI-powered products at scale. · Excellent communication, prioritization, and stakeholder-management 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