Product Manager

DNV is seeking a Product Manager to lead a portfolio of power forecasting products used by energy operators, traders, and asset owners globally.

These products deliver high-accuracy solar and wind power forecasts, leveraging advanced physics-based models, machine learning, and global weather data to enable better operational, trading, and planning decisions.

This role combines end-to-end product ownership with a strong focus on AI-led product innovation, including the evolution of forecasting workflows into AI-native and agentic experiences.

You will operate at the intersection of:

• Renewable energy systems
• Data science and machine learning
• API-first digital products
• AI-enabled workflow automation

• Product Ownership & Strategy
• Own product vision, roadmap, and lifecycle for power forecasting products
• Define and execute product strategy aligned with customer needs and market dynamics
• Drive commercial performance, including pricing, packaging, and positioning

• Identify and deliver novel power forecasting capabilities that leverage the best of physical and AI modeling techniques to deliver unique customer value
• Design and implement agentic workflows that automate forecasting, diagnostics, and optimization tasks
• Translate new AI/ML capabilities into clear, scalable product features and user value
• Partner with data science teams on model development, validation, and performance monitoring from inception to full commercialization

• Manage product backlogs, releases, and priorities in collaboration with engineering teams
• Define requirements and acceptance criteria; lead product validation and iteration
• Use data and experimentation to continuously improve product performance

• Conduct customer discovery and workflow analysis
• Engage directly with customers to understand operational and trading use cases
• Support go-to-market activities, including sales enablement and product positioning

• Collaborate across engineering, data science, UX, and commercial teams
• Align stakeholders and drive execution across a distributed, global organization
• Contribute to best practices for product management within GDP