Digital Product Manager - Energy Forecast Products

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

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 sales enablement and product positioning

Cross-Functional Leadership

• 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

• Generous paid time off (vacation, sick days, company holidays, personal days)
• Multiple Medical and Dental benefit plans to choose from, Vision benefits
• Spending accounts – FSA, Dependent Care, Commuter Benefits, company-seeded HSA
• Employer-paid, therapist-led, virtual care services through Talkspace
• 401(k) with company match
• Company provided life insurance, short-term, and long-term disability benefits
• Education reimbursement program
• Flexible work schedule with hybrid opportunities
• Charitable Matched Giving and Volunteer Rewards through our Impact Program
• Volunteer time off (VTO) paid by the company
• Career advancement opportunities

** Benefits vary based on position, tenure, location, and employee election**

DNV is a proud equal-opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with disabilities. US applicants with a physical or mental disability who require reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrec). Information received relating to accommodation will be addressed confidentially.

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What is required

• Bachelor's degree in engineering, data science, atmospheric science, or a related field
• 5+ years of product management experience in digital, data, or SaaS products
• Experience managing products across the full lifecycle
• Strong analytical and problem-solving skills in data-driven environments
• Strong written and verbal English communication…