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Digital Product Manager - Energy Forecast Products

DNV
Toronto, CAN
Full Time
Senior
Hybrid
Today
Product ManagementProduct StrategyAI/MLData ScienceRenewable EnergyAPI
Free

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About The Role

  • 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.
  • 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.

What You’ll Do

  • 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.
  • 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.

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 skills.
  • We conduct pre employment background screening.

Preferred Qualifications

  • Master’s degree in engineering, data science, atmospheric science, or a related field.
  • Experience in renewable energy, power markets, or forecasting domains.
  • Experience with APIs, data platforms, or developer focused products.
  • Working knowledge of machine learning concepts and AI driven product development.
  • Experience or strong interest in AI powered products and workflows.
  • Exposure to agentic tools or workflow automation systems is strongly preferred.

What we offer

  • Generous paid time off (vacation, sick days, company holidays, personal days).
  • Medical, Dental, and Vision benefit plans available to all employees.
  • Special programs – Employee Assistance Program and accident and critical illness options.
  • Workplace strategies for mental help resources available to all employees.
  • Registered Retirement Savings Plan (RRSP) with company match.
  • Company provided life insurance, short term, and long term disability benefits.
  • Education Assistance Program.
  • Flexible work schedule with hybrid opportunities.
  • Consumer discounts and rewards through our BenefitsHub.
  • Advancement opportunities.

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