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Product Manager Machine Learning Jobs in Quebec (NOW HIRING)

... machine learning. You will work on research with colleagues across AI, quantum algorithms, software, product and hardware. The Montreal team is a central part of Quandela's AI activities. This role ...

This role operates in close partnership with the Product Manager, who is responsible for the ... Is known for rigor, autonomy, curiosity, and a commitment to continuous learning. * Has a minimum ...

This role operates in close partnership with the Product Manager, who is responsible for the ... Is known for rigor, autonomy, curiosity, and a commitment to continuous learning. * Has a minimum ...

... data products using SmartSuite and supporting analytical tools and workflows. * Prepare high ... Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ...

... product and project managers, and executive stakeholders to unlock enterprise-wide value through data science and machine learning. This role will function within a global matrix organization and ...

... 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 ...

... 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 ...

Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production * Demonstrate experience working in cross-functional teams to deliver ML solutions in ...

Showing results 41-60

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 Aug 7, 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 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 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?

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 August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $136,798 per year, or $65.8 per hour.

AI scientist for Quantum Computing

Quandela

Montreal, QC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 26 days ago


Job description

About Quandela:

Quandela is a European deeptech company building modular, scalable and energy-efficient spin-photonic quantum computers.

We develop the full quantum computing stack, from semiconductor quantum emitters and photonic processors to control systems, software and applications. Our platforms are available through the cloud and as on-premises systems.

Our ambition is to build fault-tolerant quantum computers capable of solving problems beyond the reach of classical computation.

The role:

We are looking for an AI Scientist to join Quandela's AI and Quantum Machine Learning team between Paris and Montreal.

You will develop and evaluate machine-learning approaches for quantum computing, covering both:

  • AI for quantum systems, including calibration, control, decoding for quantum error correction;
  • quantum and hybrid machine learning, including rigorous comparisons with state-of-the-art classical methods, using MerLin, Quandela's framework for quantum machine learning.

You will work on research with colleagues across AI, quantum algorithms, software, product and hardware.

The Montreal team is a central part of Quandela's AI activities. This role therefore offers significant ownership and the opportunity to help shape and grow the team over time.

What You'll Do:
  • Design, implement and train machine-learning and quantum machine-learning models.
  • Develop AI methods to improve the calibration, control and performance of quantum systems.
  • Benchmark classical, quantum and hybrid methods using meaningful baselines and evaluation metrics.
  • Contribute actively to the development of the MerLin framework.
  • Contribute to publications and collaborations with academic partners, including the Montreal research ecosystem.
  • Present your work internally and at scientific conferences and technical events.
  • Help define Quandela's future AI research directions and mentor junior researchers as the team grows.

Requirements

What we are looking for:

We are looking for an AI scientist, or an experienced industry practitioner with an equivalent background, who is eager to apply state-of-the-art classical machine-learning methods to scientific and engineering challenges in quantum computing. The role is primarily focused on using AI to improve quantum technologies, while also providing opportunities to develop and investigate quantum and hybrid machine-learning models.

  • PhD + 3 years of experience or equivalent industrial R&D experience in machine learning.
  • Strong foundations in modern machine learning, experimental methodology and model evaluation.
  • Excellent scientific programming skills, particularly in Python and common machine-learning frameworks.
  • Experience taking research ideas from initial exploration to robust implementation.
  • Interest in working on both longer term research and concrete product problems.
  • Strong communication skills and the ability to work autonomously within a focused, multidisciplinary team.
  • Professional fluency in English.

Bonus Points

  • Previous experience applying AI to physical systems, scientific computing, hardware control or experimental data.
  • Knowledge of quantum computing, quantum machine learning or photonic quantum technologies.
  • Experience mentoring junior researchers or helping define technical research directions.

Benefits

Location
Montreal Office - Mila, Quebec AI Institute, 6666 Rue Saint-Urbain, QC H2S 3H1 (4th floor).

What we offer

  • 20 days of paid annual leave per year, plus office closure during the end-of-year holidays (not deducted from your balance).
  • Comprehensive group insurance: health, dental, life and disability coverage (individual or family), effective after 3 months.Health & dental care with no deductible, including prescription drugs, vision care and up to $1,000/year of dental.
  • Generous paramedical coverage: $500/year per practitioner and Free virtual healthcare (telemedicine) and a 24/7 nurse info line.
  • Group RRSP through payroll, with employer matching up to 4% of your salary, plus the usual tax advantages.
  • Contributions to the Regime de rentes du Quebec (RRQ), split between employer and employee.