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Product Manager Machine Learning Jobs in Quebec (NOW HIRING)

As a Senior Technical Product Manager, you will shape and drive the strategy behind these low-level ... We offer health & dental benefits, retirement plans, learning & development opportunities, and ...

Develop and implement machine learning algorithms and models * Analyze and interpret large data ... Collaborate with data scientists and software engineers to integrate models into production systems

... lifecycle management * Suivre et améliorer en continu l'efficacité de la plateforme Data ... Préparer les données pour des pipelines de machine learning en production * Participer à ...

... lifecycle management * Suivre et améliorer en continu l'efficacité de la plateforme Data ... Préparer les données pour des pipelines de machine learning en production * Participer à ...

... Machine Learning / AI en production . Vous agirez en propriétaire end-to-end des pipelines de ... management Suivre et améliorer en continu l'efficacité de la plateforme Data & Machine Learning ...

... lifecycle management * Suivre et améliorer en continu l'efficacité de la plateforme Data ... Préparer les données pour des pipelines de machine learning en production * Participer à ...

... required to bring machine learning models to production, ensuring smooth deployment and ... Knowledge of change management practice to advance the adoption of technology solutions in the ...

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Product Manager Machine Learning information

See Quebec salary details

$27K

$136.8K

$236K

How much do product manager machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for product manager machine learning in Quebec is $136,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $169,000.00 per year, depending on experience, location, and employer.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What job categories do people searching Product Manager Machine Learning jobs in Quebec look for? The top searched job categories for Product Manager Machine Learning jobs in Quebec are:

Product Manager Management and Sustainability Training

IATA

Montreal, QC

Other

Posted 13 days ago


Job description

About the team you are joining

This is an exciting opportunity to own and drive a training products portfolio within IATA Training team. Reporting to the Senior Product Manager, Airport & Ground Operations Training, the incumbent is responsible for implementing the product roadmap for the People Skills, General Management and Environmental Sustainability training portfolio, ensuring that the products remain relevant and attractive for the marketplace

What your day would be like

The incumbent in this position, while ensuring constant innovation and enhancement in accordance with aviation industry needs and departmental business targets, will also be responsible for implementing the latest approach in learning industry across all training delivery formats supporting capacity development across all functional levels.

Specific Responsibilities

  • Execute strategic business plans for the assigned Management and SustainabilityTraining portfolio;
  • Identify, define, evaluate, and champion new product ideas/enhancements andservice opportunities, and oversee their implementation;
  • Develop new training products and update/enhance existing ones in line withindustry needs, converting the latest industry standards and publications intorelevant courses;
  • Maintain and develop faculty membership worldwide, through careful selection,recruitment and management of external instructors and subject matter experts;
  • Execute the marketing and sales strategies in collaboration with the sales andmarketing groups, the Line of Business Head, and the Regional sales teams;
    Identify and implement cross selling and product bundling opportunities withother lines of business (Publications, Certification & Training Validation,Consulting);
  • Manage the Management and Sustainability Training budget and achieve financialtargets;
  • Oversee the product delivery process, ensuring high quality courses inaccordance with the Standards defined by the Design & Quality team;
  • Manage training production and distribution activities on an ongoing basisensuring Training partners get appropriate information for them to deliver highquality training to their students;
  • Provide timely financial and operational status reports and other relevantinformation;
    Cooperate closely with internal stakeholders and external key accounts for thecoordination and accurate reflection of IATA Standards in training products.