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DNV
Toronto, Canada
(on-site)
Job Type
Full-Time
Job Function
Other
Product Manager
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Product Manager
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
OverviewAbout us
We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.
As a trusted voice for many of the world's most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.
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 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
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 for you and your family
- 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
**Benefits may 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.
About you
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
*Immigration-related employment benefits, for example visa sponsorship, are not available for this position*
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
An AI Product Mindset
- Experience or strong interest in AI-powered products and workflows
- Exposure to agentic tools or workflow automation systems is strongly preferred
Who You Are
- A customer-focused and outcomes-driven product leader
- Comfortable operating in technically complex, data-intensive domains
- Able to balance strategic thinking with hands-on execution
- Energized by building AI-first products and intelligent systems
- Passionate about contributing to the energy transition
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 for you and your family
- 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
**Benefits may 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.
About you
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
*Immigration-related employment benefits, for example visa sponsorship, are not available for this position*
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
An AI Product Mindset
- Experience or strong interest in AI-powered products and workflows
- Exposure to agentic tools or workflow automation systems is strongly preferred
Who You Are
- A customer-focused and outcomes-driven product leader
- Comfortable operating in technically complex, data-intensive domains
- Able to balance strategic thinking with hands-on execution
- Energized by building AI-first products and intelligent systems
- Passionate about contributing to the energy transition
Job ID: 84885490
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Data is collected and updated regularly using reputable sources, including corporate websites and governmental reporting institutions.
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