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Product Manager Machine Learning Jobs in Quebec (NOW HIRING)

We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI ... Display managerial courage as needed to continue fostering a healthy and productive work ...

Deep knowledge and proven experience with optimizing machine learning model in a production context * Experience with Python or Scala is required. Background in programming in C, C++, Java is ...

$90 - $130/hr

You have proven experience in AI or machine learning product implementation with APIs, back-end and ... Technical Product Manager. What We Offer We offer a comprehensive benefits package designed to ...

New

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join ... Production Engineering: Optimize models for low-latency inference (quantization, distillation ...

$100 - $130/hr

... manage them. Our powerful, AI infused platform provides full transparency and visibility across ... Work closely with product and engineering teams to ensure ideas are grounded in real‑world ...

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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 Jul 18, 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 is the AI PM salary?

The salary for a Product Manager specializing in Machine Learning typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, often including bonuses and stock options. Strong knowledge of AI tools and data-driven decision-making are common requirements for this role.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and leadership responsibilities.

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 machine learning product manager do?

A machine learning product manager oversees the development and deployment of AI and machine learning products, coordinating between data scientists, engineers, and stakeholders. They define product requirements, prioritize features, and ensure that machine learning models meet business goals and performance standards, often using tools like data analysis and model monitoring platforms.

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.

Which 3 jobs will survive AI?

Product Managers in machine learning will continue to be essential as they oversee AI projects, coordinate teams, and ensure alignment with business goals. Roles requiring complex problem-solving, creativity, and human judgment—such as data scientists and AI ethics specialists—are also likely to persist. These jobs demand skills that are difficult for AI to fully replicate, including strategic thinking and interpersonal communication.

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 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 July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $136,798 per year, or $65.8 per hour.

Machine Learning Manager

LawZero

Montreal, QC

Other

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda. In this role, you will join the group tasked with designing and implementing innovative ML models using the Scientist AI approach developed by Yoshua Bengio. 

As both a people manager and technical leader, you will guide research team members and spearhead complex projects within a matrix structure. You will bridge the gap between cutting-edge scientific theory and large-scale engineering execution. 

People management

  • Lead, mentor and inspire a team of mission-minded and highly skilled ML research scientists and engineers. 
  • Partner with other leaders and talent acquisition to scale the organization. Drive technical hiring, active sourcing, interviewing, and onboarding to accelerate our research velocity.
  • Coach technical team members to help them do their best work and develop new skills, while ensuring a high quality, supportive employee experience.
  • Lead with humility to cultivate an inclusive, collaborative and intellectually rigorous environment.
  • Display managerial courage as needed to continue fostering a healthy and productive work environment as we scale. 

Technical leadership

  • Guide cross-functional project teams tackling complex, sometimes unchartered, scientific and engineering challenges within an evolving matrix structure.
  • Manage and optimize research workflows to ensure rigorous, reproducible results at the frontier model scale.
  • Advocate for our research agenda internally and externally, maintaining momentum to achieve breakthroughs and overcome complex technical roadblocks.
  • Collaborate within and across projects, bridging theoretical concepts and advanced engineering. 

Required skills and qualifications

Background & experience

  • PhD in a relevant field (e.g., Computer Science, Mathematics).
  • 10+ years experience in machine learning / deep learning
  • 5+ years experience leading projects and people 
  • Experience leading machine learning / deep learning research projects
  • Experience in foundation models 

Role fit

  • Strong alignment with LawZero's existing research agenda.
    • Note: We highly recommend that interested candidates read into the Scientist AI framework before confirming interest. 
  • Advanced oral and written communication skills, with the ability to translate complex scientific concepts for diverse audiences. 
  • Resilience and advanced problem-solving skills when facing ambiguous or unmapped technical challenges.
  • Proven ability to push the boundaries of our research while fostering a sustainable, healthy work environment for your team. 

What we offer

  • The chance to contribute meaningfully to a globally critical initiative
  • Comprehensive health benefits (including mental health and wellness management account)
  • 20 days of vacation per year upon start
  • Employer contribution of 4% to your retirement savings, with no required employee match
  • Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
  • A team of passionate world-class experts in their field
  • A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation