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Ai Startup Jobs in Quebec (NOW HIRING)

BI Product Owner

Sherbrooke, QC · On-site

  • Medical

  • Retirement

Be a part of a fast-paced culture and community in a startup-like environment inside one of Québec ... AI agents supporting transportation and logistics teams * Supply chain risk monitoring and ...

  • Medical

  • Retirement

Be a part of a fast-paced culture and community in a startup-like environment inside one of Québec ... Gather, qualify, prioritize, and manage reporting, dashboarding, KPI, analytics, and AI initiatives ...

$98.73 - $141.04/hr

  • Retirement

... paced startup. Nice to Have * Experience supporting onboarding or other People Operations activities. * Experience recruiting for AI, computer architecture, ASIC/SoC, RTL, Physical Design ...

About Us SBQuantum is a seed-stage startup at the forefront of magnetic sensing innovation. Our ... By combining diamond-based quantum sensors with AI-driven algorithms, we transform complex magnetic ...

About Us SBQuantum is aseed-stage startup at the forefront of magnetic sensing innovation. Our ... By combining diamond-based quantum sensors with AI-driven algorithms, we transform complex magnetic ...

We're a small, high-caliber team building products that change how AI and software gets created and deployed. We operate like a startup with the backing of a scaled platform, No bureaucracy, no ...

Channel Solutions Engineer

Montreal, QC

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

AI Fearlessly. Position Summary: Trend Micro is seeking a French speaking Channel Solutions ... Experience in a fast-paced SaaS or cybersecurity startup ecosystem. * Familiarity with XDR, SIEM ...

AI, or built in-house) * Multi-payer scale experience * Early-stage / scaling startup background, comfort with ambiguity and the ability to make calls without perfect information What you will ...

$80 - $100/hr

We are seeking a Channel Solutions Engineer who is passionate about cybersecurity and AI-powered ... Experience in a fast-paced SaaS or cybersecurity startup ecosystem. * Familiarity with XDR, SIEM ...

$80 - $100/hr

We are seeking a Channel Solutions Engineer who is passionate about cybersecurity and AI-powered ... Experience in a fast-paced SaaS or cybersecurity startup ecosystem. * Familiarity with XDR, SIEM ...

We believe AI should amplify human potential, not replace it, and we build with that conviction in ... You've run something real before - a startup, a product line, a business unit, or a revenue ...

A propos de Devs.ai, une filiale d'AppDirect Devs.ai est un incubateur IA au sein d'AppDirect et sa ... Nous fonctionnons comme une startup qui compte sur le soutien d'une plateforme evolutive. Pas de ...

Its flagship product, Alya.ai, leverages state-of-the-art AI technologies to help companies manage ... Startup vibe (casual dress code, espresso machine, babyfoot) * International opportunities Salary ...

Showing results 21-40

Ai Startup information

See Quebec salary details

$28.5K

$121.2K

$199K

How much do ai startup jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai startup in Quebec is $121,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $152,000.00 per year, depending on experience, location, and employer.

What is an AI startup?

An AI Startup job involves working at a company focused on developing artificial intelligence technologies, products, or services. Roles can vary widely, including engineering, data science, product management, and business development. Employees in AI startups often work in fast-paced environments, solving complex problems with cutting-edge AI models and tools. These roles typically require adaptability, technical expertise, and a willingness to innovate quickly.

What does the typical day-to-day work look like at an AI startup?

At an AI startup, your days are often fast-paced and varied, involving tasks like brainstorming new product features, coding algorithms, reviewing data sets, meeting with cross-functional teams, and testing proofs of concept. Team members frequently collaborate across roles—engineers, data scientists, and even product managers may work closely together in a flat structure. You can expect to rapidly prototype and iterate on ideas, directly impacting the company's growth and direction. This dynamic environment is ideal for those who enjoy hands-on innovation and learning in a close-knit, high-energy team.

What are the key skills and qualifications needed to thrive in the AI startup position, and why are they important?

Succeeding in an AI startup requires strong programming skills, knowledge of machine learning principles, and a background in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, cloud platforms like AWS or Google Cloud, and, in some cases, relevant certifications can be highly advantageous. Adaptability, creative problem-solving, and effective teamwork distinguish exceptional contributors in these dynamic environments. These skills ensure that you can quickly develop innovative solutions and pivot as the startup evolves.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming, and data analysis, often through degrees in computer science, data science, or related fields. Gain experience with machine learning frameworks like TensorFlow or PyTorch, and work on projects or internships to build practical skills. Continuous learning through online courses, certifications, and staying updated with industry research is also essential.

What job categories do people searching Ai Startup jobs in Quebec look for?

The top searched job categories for Ai Startup jobs in Quebec are:

Infographic showing various Ai Startup job openings in Quebec as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $121,188 per year, or $58.3 per hour.

BI Product Owner

BRP

Sherbrooke, QC • On-site

Full-time

Medical, Retirement

Posted 27 days ago


Job description

Be a part of a fast-paced culture and community in a startup-like environment inside one of Québec’s most successful organizations. As part of BRP’s central Data & Analytics team, you will join an established and high-performing organization that plays a critical role in enabling data-driven decision-making across the business. We are continuously evolving our capabilities, expanding our impact, and driving innovation through analytics, business intelligence, AI, and data products. This is an exciting opportunity to contribute to a team that delivers significant value to the organization while helping shape the next generation of data, analytics, and AI-powered solutions at BRP.

Join BRP's central Data & Analytics team (DNA) as a BI Product Owner and bring your analytical mindset and business acumen to our dynamic team. This role is perfect for someone who is passionate about transforming data into actionable insights, enabling data-driven decision-making, and delivering impactful analytics solutions that create measurable business value across the organization.

YOU'LL HAVE THE OPPORTUNITY TO:

Strategic Bridge & Stakeholder Management

  • Act as the primary liaison between business stakeholders and the Data & Analytics delivery team.

  • Partner with leaders across outbound transportation, inbound logistics and supply chain operations to identify, prioritize, and deliver high-value business intelligence, analytics, and AI opportunities that drive operational excellence and informed decision-making.

  • Gather, qualify, prioritize, and manage reporting, dashboarding, KPI, analytics, and AI initiatives aligned with business objectives.

  • Facilitate alignment between business stakeholders, analytics teams, data engineering teams, and technology partners.

  • Communicate product vision, roadmap, priorities, risks, and outcomes clearly and effectively.

  • Champion a data-driven culture by helping business teams leverage insights to improve decision-making and operational performance.

Analytics & Business Intelligence Product Strategy

  • Identify opportunities where business intelligence, analytics, data products, AI agents, and intelligent automation solutions can improve operational visibility, efficiency, decision-making, and business performance across logistics and supply chain functions.

  • Drive the evolution of reporting, dashboards, scorecards, self-service analytics, AI-powered insights, and intelligent decision-support capabilities.

  • Define and maintain business KPI frameworks and measurement strategies.

  • Ensure consistency and alignment of metrics, definitions, and reporting standards across the organization.

  • Partner with business and technical teams to identify use cases for AI technologies, including conversational AI, predictive analytics, logistics optimization, agentic workflows, and process automation solutions.

  • Prioritize initiatives using a business-value and financial-impact framework that balances ROI, operational benefits, strategic alignment, implementation effort, and organizational readiness.

  • Prioritize initiatives that deliver measurable business value and support strategic objectives.

Examples of initiatives may include:

  • Executive performance dashboards

  • Transportation and logistics performance reporting

  • Supply chain and operational analytics

  • Logistics KPI scorecards and operational visibility solutions

  • Freight and transportation cost analytics

  • Inventory and material flow reporting

  • Self-service analytics solutions

  • Data quality and governance reporting

  • AI-powered logistics optimization use cases

  • AI agents supporting transportation and logistics teams

  • Supply chain risk monitoring and predictive insights

  • Enterprise KPI scorecards

  • Cross-functional business performance reporting

Business Case Development & Value Realization

  • Develop and own business cases for BI, analytics, and AI initiatives.

  • Quantify expected business benefits including productivity gains, operational efficiencies, revenue opportunities, cost reductions, working capital improvements, and enhanced decision-making.

  • Establish and apply financial prioritization frameworks to evaluate initiatives based on expected ROI, business value, implementation costs, strategic contribution, and risk reduction.

  • Partner with business and finance leaders to assess investment opportunities and ensure resources are allocated to the highest-value initiatives.

  • Define success metrics and KPIs for analytics products and reporting solutions.

  • Measure and monitor adoption, usage, and business impact of BI products.

  • Track realized value after deployment and continuously refine product priorities based on lessons learned.

  • Provide objective recommendations, including when initiatives do not justify investment.

Product Ownership & Delivery Leadership

  • Own and prioritize the backlog for BI, analytics, reporting, data products, and AI-enabled initiatives.

  • Translate business requirements into user stories, functional specifications, and acceptance criteria.

  • Coordinate cross-functional teams including BI Developers, Data Engineers, Analytics Engineers, Solution Architects, Data Governance Specialists, Cloud Engineers, AI Specialists, and Scrum Masters.

  • Lead delivery efforts across discovery, design, development, testing, deployment, and adoption phases.

  • Maintain a clear BI & analytics aligned with enterprise priorities.

  • Ensure reporting, dashboards, KPIs, data products, and AI solutions provide a consistent and integrated business experience.

  • Continuously reassess priorities based on realized business value, financial impact, stakeholder feedback, and emerging opportunities.

  • Drive continuous improvement through regular stakeholder feedback and product performance reviews.

YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:

  • 5+ years of experience as a Product Owner, Product Manager, Business Analyst, BI Lead, Analytics Product Owner, or similar role.

  • Proven experience delivering business intelligence, reporting, analytics, or data product initiatives.

  • Strong understanding of KPI development, dashboard design, reporting frameworks, and data visualization best practices.

  • Experience translating business requirements into scalable analytics solutions.

  • Experience building business cases and evaluating ROI for analytics, digital, or technology investments.

  • Experience prioritizing portfolios or backlogs using business value, financial impact, cost-benefit analysis, or ROI-based frameworks.

  • Ability to bridge business needs with technical delivery teams.

  • Strong stakeholder management, facilitation, and communication skills.

  • Experience working in Agile environments and managing product backlogs.

  • Strong analytical and problem-solving capabilities.

  • Understanding of AI-powered business solutions, AI agents, intelligent automation, predictive analytics, or generative AI use cases.

  • Proficiency in French and English.

STAND OUT WITH...

  • Experience leading enterprise BI, analytics, or AI programs.

  • Expertise with Power BI, Tableau, SAP Analytics Cloud, or similar BI platforms.

  • Experience with data modeling, semantic layers, and enterprise reporting architectures.

  • Familiarity with modern cloud-based analytics and data platforms (Azure, Snowflake, Databricks, AWS, Google Cloud).

  • Experience delivering self-service analytics capabilities at scale.

  • Understanding of data warehousing, dimensional modeling, and analytics engineering concepts.

  • Experience supporting executive leadership through strategic reporting and business performance management.

  • Background in digital transformation, business consulting, enterprise analytics, or supply chain transformation functions.

  • Exposure to AI-enabled analytics, predictive analytics, AI agents, conversational AI, and advanced decision-support capabilities.

  • Experience in logistics, transportation, supply chain, or operations environments.


ACKNOWLEDGING THE POWER OF DIVERSITY

BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!

For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.

AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.

Let’s start with a strong foundation - You want it, we have it:

  • Annual bonus based on the company’s financial results

  • Generous paid time away

  • Pension plan

  • Collective saving opportunities

  • Industry leading healthcare fully paid by BRP

What about some feel good perks:

  • Flexible work schedule

  • A summer schedule that varies by department and location

  • Holiday season shutdown

  • Educational resources

  • Discount on BRP products

WELCOME TO BRP

We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 17,000 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination: It’s about the journey.
#LI-Hybrid
#LI-DF1