1. Product Strategy and Vision:
o Developing the roadmap for Io T-based energy products, defining their vision, and ensuring they align with market needs, trends, and regulatory requirements related to energy management, sustainability, and efficiency.
o Identifying opportunities for energy savings, optimization, and sustainability through the use of Io T technology.

2. Energy Monitoring and Optimization:
o Overseeing the creation of systems that allow real-time monitoring of energy consumption across devices, buildings, or industrial plants.
o Ensuring the product supports data collection from smart meters, sensors, and other Io T devices to optimize energy use, identify inefficiencies, and reduce waste.

3. Smart Grid and Smart Meter Integration:
o Managing products that integrate with smart grids (electric grids enhanced with Io T devices for real-time monitoring and management) and smart meters (devices that measure and communicate energy usage data).
o Ensuring that the product can communicate with utilities and customers for energy demand response (e.g., adjusting energy use based on grid conditions).

4. Sustainability and Regulatory Compliance:
o Designing products that help users meet sustainability goals, track carbon footprints, and adhere to energy-related regulations and certifications, such as energy efficiency standards or carbon reduction targets.
o Ensuring the product is aligned with environmental and energy policies, such as those aimed at reducing greenhouse gas emissions or promoting renewable energy sources.

5. User Experience and Interface:
o Overseeing the creation of user-friendly interfaces (e.g., mobile apps, dashboards) for customers to monitor energy consumption, receive insights, and manage energy use effectively.
o Making sure the energy product is easy to integrate into existing home or business infrastructure, providing seamless interaction with various devices or platforms.

6. Collaboration with Cross-Functional Teams:
o Working with hardware and software engineers, data scientists, energy experts, and business stakeholders to ensure the product meets technical and market requirements.
o Collaborating with sales and marketing teams to position and promote the product effectively to target customers (e.g., homeowners, businesses, utilities).

7. Data Analytics and Insights:
o Leveraging data generated by Io T devices to provide actionable insights into energy usage patterns, trends, and opportunities for optimization.
o Utilizing machine learning and predictive analytics to forecast energy needs, detect anomalies, and provide recommendations for improving energy efficiency.

8. Customer Engagement and Feedback:
o Interacting with customers to understand their energy management challenges and incorporating their feedback into the product development process.
o Ensuring that the product solves real-world problems for customers, such as reducing energy bills, improving energy efficiency, or providing visibility into energy usage.