1

Product Manager Machine Learning Jobs in Quebec (NOW HIRING)

We're looking for a stellar Junior Technical Product Manager to help build and manage the ... A thoughtful problem solver dedicated to constantly learning and improving * Comfortable leading ...

As a Senior Product Manager - Growth Hub, you will play a key role in the design, evolution, and ... A work environment where learning and development merge with a collective pursuit of excellence.

... product development touching machine learning areas such as generative AI, natural language ... Leaders who support your development through coaching and managing opportunities; * Ability to make ...

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

This role will support both AI engineering initiatives and machine learning projects by making enterprise data reliable, accessible, well-structured, and ready for production use. This role is ...

... 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 ...

... 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 ...

next page

Showing results 1-20

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 May 31, 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.

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.

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 popular job titles related to Product Manager Machine Learning jobs in Quebec? For Product Manager Machine Learning jobs in Quebec, the most frequently searched job titles are:
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:
Infographic showing various Product Manager Machine Learning job openings in Quebec as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $136,798 per year, or $65.8 per hour.

Other

Posted 18 days ago


Job description

Welcome to the Demo Job Listing for Lever! This is a fictional job created solely for demonstration purposes and is not an actual open position. We've crafted this listing to showcase the functionality of our ATS platform, including job descriptions, application processes, and more.

While you can explore the application process and features here, please note that applications submitted to this job will not be reviewed or responded to as it's for demonstration only.

We're looking for a stellar Junior Technical Product Manager to help build and manage the technology that powers our business at ABCo. You'll be working with members of our Engineering team to help drive the completion of various tech goals, establish priorities, communicate across the company, and keep everything running smoothly. If taking a product successfully through its development lifecycle and into the customer's hands excites you, keep reading!
What you'll do
  • Work closely with engineers and stakeholders to build features that provide a high-quality experience for our customers and employees
  • Establish, constantly improve, and execute project processes to ensure optimal delivery while maintaining a highly engaged, energized, and effective team
  • Translate broad business needs into non-ambiguous requirements for our development teams
  • Design, execute, and report on hypothesis-based tests to determine the actual value of all new features
  • Facilitate conversations and decision-making among stakeholders and keep them informed of project progress
  • Identify and quickly remove roadblocks in order to keep projects running smoothly
  • Manage multiple concurrent projects in various departments (focused primarily on technology)
  • Plan activities to keep the office environment fun and energetic

Who you are
  • Equipped with 1-3 years of professional experience
  • An expert communicator brimming with positive, proactive energy
  • A data-driven decision-maker who marries sound business judgment with strong analytical thinking
  • Organized, focused, extremely detail-oriented, and adept at prioritization across multiple projects
  • A thoughtful problem solver dedicated to constantly learning and improving
  • Comfortable leading meetings with people of all ages and backgrounds
  • Mature, empathetic, and adaptable in a fast-paced, collaborative environment
Extra Credit
  • Strong leadership skills with the ability to motivate a team
  • An understanding of agile, Scrum, PMI, or other project-management-process methodology
  • Experience making decisions in high-pressure situations
  • Working knowledge of common business software and analytical tools
Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.

Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job