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Added 43 mins ago
Tax & Legal - Tax Analyst - New Grad 2027 - Multiple Locations
Deloitte
Burlington, ON
Full-time
Interested in learning and applying generative AI responsibly and using tools to streamline workflows (e.g., drafting, research synthesis, data cleanup) with strong prompting practices,…
Added 43 mins ago
Part Time Bridal Sales
David's Bridal
Toronto, ON · Scarborough, ON
Part-time
Added 1 hour ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
Deep expertise in Microsoft Copilot Studio: agent design, generative orchestration, knowledge sources, custom actions/tools, channels, analytics, and M365 Copilot extensibility.
Added 2 hours ago
Proposal Manager
S.I. Systems ULC
Ottawa, ON
$90,000 to $105,000 CAD / year
Full-time
Leverage AI-enabled proposal tools (e.g., Responsive, generative AI writing assistants) to improve efficiency, quality, and scalability
Added 2 hours ago
Executive Assistant - Head Office
AutoCanada Inc.
Edmonton, AB
Full-time
Advanced AI Proficiency: Demonstrated, hands-on experience utilizing Generative AI tools (e.g., ChatGPT, Copilot, Gemini) and prompt engineering to automate workflows, analyze data, and…
Added 2 hours ago
Intermediate Designer – Retail Creative Content
St. Joseph Communications
Toronto, ON
$60,000 to $70,000 CAD / year
Contract
Experience with AI platforms, Adobe Firefly, generative image tools, image masking/background tools, DAM workflows, or eCommerce automation platforms is an asset.
Added 3 hours ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
Hands-on experience with Snowflake, including its AI and generative AI capabilities (such as Cortex AI, Snowpark, and vector search).
Added 4 hours ago
Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
Minimum of two (2) years of hands-on experience delivering AI, machine learning, intelligent automation, or generative AI solutions.
Added 4 hours ago
Equities GUI Engineer
Citi
Mississauga, ON
Full-time
Experience using Co Pilot or other Generative AI offerings.
Added 4 hours ago
Associate Director, Innovation Solutions
BMO
Toronto, ON · FCP
Full-time
Assess and recommend opportunities involving Generative AI, Agentic AI, AI Agents, intelligent automation, copilots, and autonomous workflows.
Added 5 hours ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.
Added 5 hours ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.
Added 6 hours ago
Director, Financial Planning & Analysis - SLC Management
Sun Life
Toronto, ON · Sun Life Toronto One York
Full-time
Generative AI adoption - Apply generative AI and emerging analytical tools to accelerate and strengthen FP&A work - from research and peer benchmarking to drafting, model documentation,…
Added 6 hours ago
Director, Financial Planning & Analysis - SLC Management
SLC Management
Toronto, ON · Sun Life Toronto One York
Full-time
Generative AI adoption - Apply generative AI and emerging analytical tools to accelerate and strengthen FP&A work - from research and peer benchmarking to drafting, model documentation,…
Added 6 hours ago
Director, Financial Planning & Analysis - SLC Management
SLC Management
Toronto, ON
Full-time
Generative AI adoption - Apply generative AI and emerging analytical tools to accelerate and strengthen FP&A work - from research and peer benchmarking to drafting, model documentation,…
Added 7 hours ago
Part Time Bridal Sales
David's Bridal
London, ON
$16 to $25.8 CAD / hour
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Added 8 hours ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
GCP certification (Professional Cloud Architect, Professional Machine Learning Engineer, or Generative AI Leader).
Added 8 hours ago
Data Architect
Insight
Toronto, ON
Full-time
Design data foundations that support advanced analytics, machine learning, generative AI, knowledge management, and AI-enabled business solutions.
Added 8 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Practical understanding of agentic workflows, prompt chaining, and the latest trends in generative AI
Added 8 hours ago
Part Time Bridal Sales
David's Bridal
London, ON
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Added 8 hours ago
Senior Experience Designer, UI Design (Contractor)
APPLY
Toronto, ON
Contract
Use generative image and video tools - Midjourney, Figma Make, Figma Weave, Veo 3, and similar - to rapidly explore and produce concept visuals, campaign assets, and creative options.
Added 9 hours ago
System Engineer
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ON · Ontario, Canada
Contract
Generative AI, LLMs, LangChain, RAG, Vector Databases
Added 10 hours ago
Consultant, Client Success
Visa
Toronto, ON
Full-time
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Added 10 hours ago
Associate Director - North American Boarders
Shawnigan Lake School
Shawnigan Lake, BC
Proficient in the use of varied technologies, including familiarity with database management systems and generative AI.
Added 11 hours ago
Full-time Specialist, AI Adoption and Enablement (3 Years Fixed Term)
Algonquin College of Applied Arts and Technology
Ottawa, ON
Full-time
Demonstrated knowledge of artificial intelligence technologies, generative AI applications, prompt engineering, and responsible AI practices.

Product Engineer, DT Commercial

Toronto, ON, Canada

Pay: Compensation Package: $85,500.00 - $114,000.00 .
Job type: Full-time
Posting language: English
Posted: Sep 25, 2026

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Original job description

Position Title: Product Engineer, DT Commercial

Position Type: Regular - Full-Time

Grade: Grade 05

Requisition ID: 44358

In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.

About the role.

The Product Engineer, R&D and Innovation leads the technical delivery of digital products and data-enabled solutions supporting scientific and product-development work.

Working closely with R&D, Innovation, Product Development, Data, Architecture, Security, Privacy, AI, and external partners, this role translates business and scientific needs into scalable, secure, and sustainable solutions. The Product Engineer provides hands-on technical leadership from discovery and design through development, integration, testing, deployment, support, and continuous improvement.

This role will help teams accelerate innovation while improving data accessibility, traceability, knowledge reuse, and decision-making.

What you’ll be doing.

Partner with R&D and Innovation stakeholders to understand business processes, scientific workflows, data needs, and pain points, then translate them into clear product and technical requirements.
Lead end-to-end engineering delivery, from solution discovery and architecture through configuration or development, integration, testing, release, support, and continuous improvement.
Design and build scalable, reusable, secure, and maintainable solutions that connect R&D applications, enterprise platforms, data sources, and analytics capabilities.
Work with product owners and business partners to prioritize the backlog, define acceptance criteria, manage technical dependencies, and deliver measurable business outcomes.
Collaborate with Enterprise Architecture, Data, Security, Privacy, Infrastructure, and AI teams to align solutions with organizational standards and approved technology patterns.
Evaluate emerging technologies and recommend practical opportunities to simplify R&D workflows, improve knowledge reuse, accelerate experimentation, and strengthen innovation decision-making.
Identify and explore responsible AI use cases for R&D and Innovation, including knowledge discovery, workflow assistance, analytics, and decision support.
Establish standards for documentation, testing, monitoring, performance, reliability, and supportability across product deliverables.
Support adoption through documentation, demonstrations, training, release communications, and structured handover to support teams.
Monitor product performance and user feedback after launch, diagnose issues, and coordinate internal teams, vendors, and implementation partners to deliver quality outcomes within scope and schedule.

What you’ll need to be successful.

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline, or equivalent practical experience.
Experience delivering enterprise digital products, data solutions, or technical platforms through the full product lifecycle.
Experience with R&D, product development, scientific, laboratory, formulation, innovation, or related business processes within a consumer-packaged goods organization is strongly preferred.
Strong experience translating complex business and technical needs into solution designs, user stories, functional requirements, acceptance criteria, and delivery plans.
Hands-on knowledge of data engineering, system integration, APIs, data modelling, software development practices, and cloud-based architectures.
Working knowledge of Databricks and SQL is preferred.
JavaScript experience is preferred.
Experience with AI, machine learning, generative AI, or AI-enabled product delivery is an asset.
A strong interest in responsible AI and enthusiasm for continuous learning.
Demonstrated ability to manage technical priorities, dependencies, risks, testing cycles, releases, and vendor contributions in an agile delivery environment.
Strong communication and stakeholder-management skills, with the ability to explain technical topics clearly to business, scientific, and leadership audiences.
Strong systems-thinking and problem-solving skills, with the ability to balance business value, user experience, technical feasibility, security, and long-term sustainability.

About the team.

This role is part of the Digital Technology team and reports to the Sr. Product Owner. The position does not have direct reports.

The Product Engineer works within a cross-functional product environment and partners closely with R&D and Innovation, Product Development, Data and AI, Enterprise Architecture, Security and Privacy, Infrastructure, Product Owners, regional business stakeholders, vendors, and implementation partners.

The role is based in Toronto, Ontario, and is primarily performed in an office or hybrid working environment, subject to local arrangements. Travel is limited.

About McCain.

Click Here to learn more about McCain and how we provide opportunities to make an impact that matters.

Leadership principles.

At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results.

AI & Digital Capabilities.

At McCain, AI and digital capabilities are part of how we work and innovate. We value curiosity toward emerging technologies and the thoughtful, responsible use of AI-enabled tools to improve outcomes as part of our future-ready culture.

The McCain experience.

We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us to bring out the best in one another. Here, you’ll find opportunities to learn, grow, and thrive. Join us and experience why we’re better together.

Our purpose is grounded in building meaningful relationships. We’re big believers in the power of working together in person - it helps us stay connected, collaborate more effectively, and grow as a team. At the same time, we recognize the importance of flexibility. Most office-based roles follow a hybrid model, with the option to work remotely two days a week. There may be exceptions depending on the role and location, so we encourage you to speak with your recruiter for more details.

Compensation Package: $85,500.00 - $114,000.00 . CAD annually + Bonus Eligibility

The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education and training, and other organizational needs. This posting is for an existing vacancy.

Benefits: At McCain, we’re on a mission to create a winning culture that puts employee safety and well-being at the heart of what we do, every day. We understand and appreciate that each person’s needs are unique and ensure our benefits & well-being programs reflect that. Employees are eligible for the following benefits: health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Well-being programs include vacation and holidays, company-supported volunteering time, and mental health resources. Coverages are aligned with applicable law and can vary by work level, location, and nature of the role. Additional benefit detail available during the application process.

Your well-being matters to us, and we’re here to provide you with the necessary resources to support you in being your best self at work - and at home.

McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know, and we will work with you to find appropriate solutions.

Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.

Job Family: Information Technology
Location(s): CA - Canada : Ontario : Toronto

Company: McCain Foods (Canada)

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More about this job

Responsibilities

The Product Engineer leads the technical delivery of digital products and data-enabled solutions by translating business and scientific needs into scalable, secure, and sustainable architectures. They manage the end-to-end engineering lifecycle, collaborating with cross-functional teams to prioritize backlogs and implement innovative, data-driven solutions.

Requirements

Candidates must hold a bachelor's degree in a relevant technical field and possess experience delivering enterprise digital products or data solutions throughout the full product lifecycle. Strong proficiency in data engineering, system integration, and cloud architectures is required, with preference given to those with experience in R&D or consumer-packaged goods environments.

Skills

Product engineering
Data engineering
System integration
API development
Data modelling
Software development
Cloud architecture
Databricks
SQL
JavaScript
Artificial intelligence
Machine learning
Generative AI
Agile delivery
Stakeholder management
Systems thinking

Benefits

Health coverage
Dental coverage
Vision coverage
Prescription drug coverage
Retirement savings benefits
Leave support
Vacation
Holidays
Company-supported volunteering time
Mental health resources

Visa sponsorship

Not detected in the job text

Keywords

Product Engineer
R&D
Innovation
Digital Technology
Data Engineering
System Integration
APIs
Data Modelling
Cloud Architecture
Databricks
SQL
JavaScript
Artificial Intelligence
Machine Learning
Generative AI
Agile
Enterprise Architecture
Product Lifecycle
Consumer-Packaged Goods
Stakeholder Management
Systems Thinking
Technical Leadership
Software Development
Data Analytics
Workflow Automation

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