- Employment type
- Full-time · On-site
- Posted
- September 24, 2026
- Salary range
- $156,000–$214,500 CAD per year
- Province
- Ontario (ON)
Hiring confidence: Some gaps · 40/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Ontario. Faire is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Senior Product Engineer - Value in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting advertises $156,000–$214,500.
NOC code
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Senior-level experience in product engineering
- Strong technical background in software development
- Experience with machine learning systems
- Proficiency in data analysis and interpretation
- Track record of delivering large-scale projects
Fit check
Is this role right for you?
Top skills this posting asks for:
- Product Engineering
- Machine Learning
- Data Analysis
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Design and build scalable product features for the wholesale platform
- Develop machine learning solutions to improve product discovery and matching
- Drive technical strategy and architecture decisions
- Collaborate with product and business teams to identify value opportunities
- Mentor and lead junior engineers
- Work on connecting independent retailers with suppliers globally
What you'll need
- Senior-level experience in product engineering
- Strong technical background in software development
- Experience with machine learning systems
- Proficiency in data analysis and interpretation
- Track record of delivering large-scale projects