Job Description Role Overview
n We are looking for an experienced AI Product Manager to lead the design, development, and deployment of AI-driven solutions across Manufacturing, Renewable Energy, and Power sectors . The role requires solid domain expertise, product management skills, and the ability to translate business challenges into scalable AI products that deliver measurable business value.
n Key Responsibilities
n n Define AI product strategy, roadmap, and business cases aligned with organizational goals.
n Identify, prioritize, and deliver AI/ML and GenAI use cases across manufacturing, renewable energy, and utility operations.
n Collaborate with business stakeholders, operations teams, data scientists, engineers, and architects to drive product development.
n Own the end-to-end product lifecycle from ideation, requirements gathering, MVP development, deployment, and value realization.
n Drive Agile delivery, backlog prioritization, KPI tracking, and stakeholder communication.
n Ensure successful adoption, change management, and continuous enhancement of AI solutions.
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n Typical AI Use Cases
n n Manufacturing: Predictive maintenance, quality inspection, production optimization, energy efficiency, anomaly detection.
n Renewables: Solar/wind forecasting, asset performance monitoring, predictive maintenance, revenue optimization.
n Power & Utilities: Load forecasting,



power price forecasting, BESS optimization, power trading analytics, grid reliability.
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n Required Qualifications
n n Bachelor's/Master degree in Engineering, Computer Science, Data Science, or related field
n 7–10 years of experience in Product Management.
n Proven experience delivering AI/ML solutions in Manufacturing, Renewable Energy, Power, or Utilities.
n Strong understanding of AI/ML, GenAI, Industrial IoT, Analytics, and Cloud platforms (Azure/AWS/GCP).
n Experience working in Agile environments and managing cross-functional teams.
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n Key Skills
n n Product Strategy & Roadmap Management
n AI/ML & Generative AI
n Data Analytics & Forecasting
n Industrial Digital Transformation
n Stakeholder & Executive Management
n Agile/Scrum Delivery
n Business Case & ROI Development
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n Success Measures
n n Business value and ROI delivered from AI initiatives.
n Improvement in operational efficiency, forecast accuracy, asset availability, and cost optimization.
n Timely delivery, user adoption, and stakeholder satisfaction.
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n Ideal Candidate: A strategic product leader who combines AI expertise, industrial domain knowledge, and strong business acumen to drive digital transformation and innovation across manufacturing, renewable energy, and power enterprises.
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📌 AI Product Manager (Manufacturing, Renewable & Power) (Noida)
🏢 Taglynk
📍 Noida