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 general 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

What You’ll Do

• 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

Product Development





• 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

Execution & Delivery

• 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

Customer & Stakeholder Engagement

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

📌 Digital Product Manager (Ciudad de México)
🏢 Dnv
📍 Ciudad de México