Product Management Intern
- Toronto, ON, Canada
Internship
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Job details
- Job type
- Internship
- Apply by
- Posting language
- English
- Posted
Original job description
Key Responsibilities
Product Planning & Development
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Assist in defining product vision, strategy, and roadmaps for AI-driven applications
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Conduct market research and competitive analysis to identify customer needs and industry trends
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Collaborate with cross-functional teams including engineering, data science, design, and marketing to support seamless product development
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Gather, analyze, and document product requirements from internal stakeholders and clients
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Create user stories, workflows, and basic wireframes to guide development efforts.
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Prepare and present product updates to internal teams and external stakeholders
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Analyze user feedback, usage data, and KPIs to identify opportunities for product improvement
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Support testing and quality assurance to ensure products meet business and user expectations.
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Monitor product performance and provide actionable insights for optimization
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Stay informed on emerging trends in AI, machine learning, and product management
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Contribute ideas on integrating new AI capabilities into existing or upcoming products
Qualifications
Required:
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Currently pursuing or recently completed a degree in Business, Computer Science, Engineering, or a related field
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Strong interest in AI technologies and product-led development
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Excellent analytical skills with the ability to synthesize data into actionable insights
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Strong communication and collaboration skills
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Highly organized, detail-oriented, and comfortable managing multiple tasks
Preferred (Nice to Have):
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Familiarity with product management tools such as JIRA, Trello, or similar platforms
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Basic understanding of AI and machine learning concepts
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Exposure to startups, SaaS products, or technology consulting environments
What We Offer:
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Hands-on experience in AI product management with real-world applications
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Mentorship from experienced leaders in AI, product, and engineering
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Opportunity to contribute to impactful, production-grade products with global impact
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Access to learning resources, workshops, and professional development
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A collaborative, innovative, and inclusive work environment within Toronto’s tech ecosystem
About Us:
Karbon Digital is an applied research technology corporation developing AI products and intelligent software solutions built on advanced foundation models. Our work empowers organizations to navigate the fast-evolving AI and digital landscape - driving transformation, accelerating growth, and redefining competitive advantage through next-generation technology.
More about this job
Responsibilities
Support product planning and development for AI-driven applications through market research, competitive analysis, requirements documentation, and collaboration with engineering, data science, design, and marketing teams. Analyze user feedback, usage data, and KPIs; support testing and quality assurance; and contribute insights and ideas to improve product performance and incorporate emerging AI capabilities.
Requirements
Applicants must be pursuing or have recently completed a degree in business, computer science, engineering, or a related field, and have a strong interest in AI technologies and product-led development. Strong analytical, communication, collaboration, organizational, and multitasking skills are required; familiarity with product management tools and basic AI or machine learning concepts is preferred.
Skills
- Product Strategy
- Product Roadmapping
- Market Research
- Competitive Analysis
- Requirements Gathering
- User Stories
- Workflow Design
- Wireframing
- Stakeholder Communication
- Data Analysis
- KPI Analysis
- Quality Assurance
- AI
- Machine Learning
- Cross-Functional Collaboration
- Product Management
Benefits
- Hands-on AI Product Management Experience
- Mentorship
- Learning Resources
- Workshops
- Professional Development
- Collaborative and Inclusive Work Environment
Visa sponsorship
Not detected in the job text
Categories
- Management & Leadership
- Technology
- Software
- Data & Analytics
- Science & Research
Keywords
- AI
- Machine Learning
- Foundation Models
- Product Management
- Product Strategy
- Product Roadmaps
- Product Development
- Market Research
- Competitive Analysis
- Customer Needs
- Product Requirements
- User Stories
- Workflows
- Wireframes
- Stakeholder Communication
- Cross-Functional Collaboration
- Engineering
- Data Science
- Design
- Marketing
- User Feedback
- Usage Data
- KPIs
- Testing
- Quality Assurance
- Product Optimization
- JIRA
- Trello
- SaaS
- Technology Consulting