AI Product Manager

Metayb is a high-growth digital transformation company enabling enterprises to scale, adapt, and lead in a digital-first world. With a strong team of 500+ professionals, we operate at the intersection of engineering excellence, data intelligence, and scalable digital solutions. Our expertise spans Digital Transformation, Data Science, SAP Implementation, Workflow Automation, and Advanced Analytics with a strong and growing focus on AI/ML, IoT, and next-generation technologies. At Metayb, we are not just building teams — we are building high-performance engineering ecosystems that deliver measurable impact.

Job Title: AI - Product Manager

Location: Chennai

We are seeking an AI Product Manager – AI & Digital Transformation to lead the identification, development, scaling, and adoption of AI products and capabilities that deliver measurable business value across the enterprise. The role will own the AI product lifecycle from opportunity identification and prioritization through product strategy, development, deployment, adoption, value realization, and continuous improvement. This includes managing a portfolio of AI products, platforms, agents, copilots, and reusable capabilities that address high-value business challenges across Sales, Marketing, Manufacturing, Supply Chain, Logistics, Finance, and Corporate Functions. Working at the intersection of Business, Data, Technology, and external partners, the role will translate enterprise priorities into scalable AI products while owning business cases, product adoption, ROI measurement, governance, and long-term value realization.

• Define and manage the enterprise AI product strategy, roadmap, and portfolio in alignment with business and enterprise priorities

• Own the identification, evaluation, prioritization, and lifecycle management of high-value AI products and use cases across the organization

• Develop business cases for AI investments and own the measurement of business value, ROI, adoption, and benefits realization

• Translate business challenges and opportunities into clear AI product strategies, use cases, product requirements, user journeys, and success metrics

• Lead the end-to-end AI product lifecycle from discovery and experimentation through development, deployment, adoption, scaling, and continuous improvement

• Drive the development of reusable AI platforms, capabilities, agents, copilots, and enterprise services that can be scaled across business units and geographies

• Partner with Data Science, Data Engineering, Technology, Cybersecurity, and business teams to deliver scalable and production-ready AI products • Lead cross-functional teams and influence stakeholders across Business, Data, Technology, and external partners to drive AI product outcomes

• Establish product KPIs and continuously track business impact, ROI, adoption, productivity improvements, and operational and commercial outcomes

• Drive adoption, change management, user engagement, and continuous feedback mechanisms to ensure AI products deliver sustained business value

• Establish and embed AI governance, Responsible AI, data privacy, security, risk management, and ethical AI principles across the AI product lifecycle

• Evaluate emerging AI technologies, platforms, models, and external solutions to identify opportunities for enterprise application and competitive advantage

• Manage relationships with AI technology partners, vendors, consultants, and implementation partners • Establish product standards, best practices, and governance frameworks to support the responsible scaling of AI across the organization.

• Enterprise AI Product Portfolio Management • Generative AI and Enterprise AI Applications • AI Agents, Assistants, and Copilots • Reusable AI Platforms and Capabilities • Intelligent Automation • Predictive Analytics and Decision Intelligence • Commercial and Sales AI • Supply Chain and Demand Planning AI • Manufacturing and Operations AI • Enterprise Knowledge Management • AI Governance and Responsible AI • AI Adoption and Change Management

• Bachelor’s degree in computer science, Engineering, Information Systems, Business, Data Science, or a related field

• 6–12 years of experience in Product Management, Digital Transformation, AI, Data & Analytics, Technology Consulting, or a related field

• Proven experience taking digital, data, AI, or technology products from concept through implementation, adoption, scaling, and value realization

• Experience managing a portfolio of products, platforms, or enterprise technology initiatives is preferred

• Experience working in a large, complex, multinational organization

• Experience in FMCG, CPG, Manufacturing, Retail, Supply Chain, or a similar industry is preferred

• Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, AI Agents, and AI-powered applications

• Experience translating business challenges into scalable AI products and solutions

• Strong product strategy, discovery, roadmap, prioritization, and portfolio management skills

• Demonstrated ability to develop business cases, define value hypotheses, and measure ROI and business outcomes

• Strong understanding of AI product development and lifecycle management from discovery through deployment, adoption, and scaling

• Ability to work effectively across Business, Data Science, Data Engineering, Software Engineering, Technology, Cybersecurity, and external partner teams

• Strong understanding of data, APIs, cloud platforms, enterprise architecture, and AI technology ecosystems

• Knowledge of AI governance, Responsible AI, data privacy, cybersecurity, and risk management principles

• Strong change management and stakeholder engagement capabilities

• Excellent communication, influencing, and presentation skills, with the ability to communicate complex AI concepts to technical and non-technical stakeholders

• Measurable business value and ROI generated by the AI product portfolio

• Successful delivery, adoption, and scaling of prioritized AI products and use cases

• Increased active usage and sustained adoption of AI products across business functions

• Measurable improvements in revenue, cost efficiency, productivity, customer experience, operational performance, or decision quality resulting from AI initiatives

• Reduction in manual effort and improvement in employee productivity through AI, automation, agents, and copilots

• Successful development and reuse of AI platforms, capabilities, agents, and products across business units and markets

• Reduction in time from AI opportunity identification to production deployment and business adoption

• Establishment of effective AI product governance, Responsible AI, and value measurement frameworks

• Improved stakeholder satisfaction and demonstrated business ownership of AI solutions

• Increased maturity of the enterprise AI product portfolio, including clear prioritization, investment decisions, adoption tracking, and benefits realization

• Hybrid Work Culture – Built on trust, flexibility, and ownership.

• Leave Policy – Because sustained performance needs balance.

• Accelerated Career Growth – High performers grow faster.

• Real Ownership – Your work directly impacts business outcomes.

• Cutting-Edge Exposure – Work on AI/ML, IoT, and next-gen solutions.

• Onsite Opportunities – Exposure to international client environments and global delivery models.

• Holistic Employee Care – Medical insurance up to ₹5 Lakhs, reinforcing our belief that high

performance starts with strong well-being.

Disclaimer: The job title mentioned in this description is generic and intended for broad categorization purposes. The final designation will determined based on the candidate’s performance during the interview process, relevant experience, and alignment with the organizational hierarchy.