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Product Manager Machine Learning Jobs in Quebec (NOW HIRING)

... 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 ...

The team serves as the hub for AI and machine learning across the entire organization and all our ... Work as a product manager to understand the business needs for business process automation tasks.

... machine learning? Are you curious about the systems that power information retrieval, index ... Manage and resolve assigned Jira tickets, ensuring timely completion of tasks. * Contribute to real ...

... machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs) that expose analytical models to applications in production 🛡Data ...

As a Development Manager, you'll play a key role in Coveo's newly organized Product Engineering ... Experience leading teams working on machine learning or artificial intelligence products.

As a Development Manager, you'll play a key role in Coveo's newly organized Product Engineering ... Experience leading teams working on machine learning or artificial intelligence products.

CA$87K - CA$128K/yr

Local Business Line Manager - Induction Motors Your role and responsibilities In this role, you ... You'll grow through meaningful work, continuous learning, and support that's tailored to your goals.

... machine learning? Are you curious about the systems that power information retrieval, index ... Manage and resolve assigned Jira tickets, ensuring timely completion of tasks. * Contribute to real ...

... into analytical data products or tools with the support of a cross-functional team ... Utilize machine learning techniques to improve customer segmentation, churn prediction, and ...

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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.

Product Manager - Unstructured Data Platform

HollisWealth

Montreal, QC • Hybrid

Full-time

Retirement, PTO

Posted 2 days ago

New


Job description

Job Description

Build the Future with Us

We are exploring the creation of a key role designed to structure and accelerate the management of unstructured data in an environment where practices, tools, and responsibilities remain fragmented.

This role serves as a linchpin between business needs, modernization initiatives, and technological solutions to ensure consistency, alignment, and value creation.


Scope of Work

The role is responsible for defining, guiding, and making decisions on major strategic directions related to unstructured data.

Specifically, the person will:

  • Define and champion an integrated vision for unstructured data management, aligned with business objectives
  • Make strategic decisions on preferred solutions, particularly in relation to XECM and Horizon initiatives
  • Establish governance principles and guiding frameworks applicable to all teams
  • Prioritize foundational use cases and make decisions when multiple options are available
  • Ensure that initiatives converge toward a coherent and sustainable goal

What You'll Accomplish with Us

  • The Product Manager acts as a cross-functional decision-maker on strategic direction, responsible for overall consistency.
  • They determine strategic direction and key priorities
  • They align stakeholders around these decisions
  • They mediate issues requiring consensus
  • They ensure that decisions are translated into concrete initiatives

Delivery teams (PM, PO, architecture) remain responsible for execution, detailed design, and delivery.


Collaboration

  • The role involves working closely with:
  • Business teams, to guide priorities and validate value
  • Modernization teams, to align investments and roadmaps
  • IT teams, to ensure the feasibility and integration of solutions
  • Data governance stakeholders, to ensure consistency in practices

Key Challenges

  • Structuring and guiding a field where governance is still emerging
  • Making strategic decisions in a complex and evolving environment
  • Bringing together multiple teams with sometimes divergent priorities
  • Ensuring a balance between speed of execution and sound strategic direction
  • Ensuring clarity and consistency without slowing down initiatives

Expected Deliverables

As a general guideline, this role should lead to:

  • A clear, shared vision for unstructured data management
  • Formal guidelines used to inform decision-making
  • Clear trade-offs regarding solutions and priorities
  • Greater consistency among initiatives (including XECM)
  • A recognized point of reference for decisions related to unstructured data

What Could Help You Succeed in This Role

We are looking for someone who:

  • Is comfortable making decisions in ambiguous situations
  • Has a cross-functional perspective and an understanding of business and technology issues
  • Exercises strong, influential leadership with department heads and senior management
  • Demonstrates courage in their positions and rigor in their decision-making
  • Is capable of driving projects forward in a practical way, without creating unnecessary red tape
  • Has an advanced level of English proficiency, as the person will be required to communicate daily with English- and French-speaking clients and partners across Canada via email and phone calls.

Why will you enjoy working with us?

A work environment where learning and development merge with a collective pursuit of excellence;

A healthy, safe, fair, and inclusive environment where potential can be freely expressed and developed;

The opportunity to work in a hybrid work environment, supported by flexibility and access to inspiring and innovative workspaces.

Competitive benefits: Flexible group insurance, competitive retirement plan, stock purchase plan, vacation and wellness/personal development days, telemedicine, employee and family assistance program, ergonomic furniture program, performance bonuses, discounts on iA products, and more!


Apply now and take control of your career where your talent truly matters!


Hesitating to apply?

At iA, we believe in potential and value diverse experiences. If this role inspires you, go ahead and apply-your place might be with us, and we want to get to know you!

Location(s)Quebec / 1080, Grande Allee WestOther Possible Location(s)Montreal / 1981 McGill College Avenue
Company

iA Financial Group

Posting End Date2026-08-17Company Overview

iA Financial Group* is the strength of a company with a human side, with its over 8,000 employees. Together, we have earned the trust of our more than four million clients and 25,000 advisors who have chosen us for their insurance, savings, and wealth management.

With over $200 billion in assets and half a billion invested in technological innovation, we're a key player in the financial services industry in Canada and the United States. The secret to our success? Investing in you, one person at a time. Because, for over 125 years, we have believed that it's by supporting our employees and surrounding ourselves with the most reputable leaders in the industry, we will continue to innovate.

At iA, we're invested in you.

* iA Financial group includes the following entities: iA Services financiers, iA assurance auto et habitation, iA Gestion privee de patrimoine, PPI Management, Investia, iA Gestion de placements, Prysm, iA Clarington, Michel Rheaume et associes, Garanties Nationales, WGI Manufacturing, WGI Service Plan Division, Lubrico, iA Financement auto Our Commitment to Diversity and Inclusion

At iA Financial Group, we support and celebrate diversity. We strive to provide a workplace that is recognized as inclusive for all, regardless of ethnic origin, nationality, language, religious beliefs, gender, sexual orientation, age, marital status, family situation, or physical or mental disability.

Please note that if you need help or assistance to make the recruitment process more accessible for you, please Contact us here. Someone from our team will be happy to assist you with your needs.