Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

330,622 listings · 44,760 employers Counted Oct 31, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (7,792 listings), Health Match BC (2,733 listings), Walmart (2,541 listings).

Common roles: Cook, Project manager, Sales representative.

60,836 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	36,153
CAD / year	80,000.00	20,715
USD / year	98,100.00	1,439
USD / hour	20.00	602
CAD / month	5,027.00	594
CAD / week	1,445.00	51
CAD / day	360.00	35
USD / week	1,622.80	16
GBP / year	40,000.00	14
USD / month	4,000.00	13
EUR / year	65,000.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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AI Product Builder - IoT & Data Intelligence (October 30, 2026)
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ZenduIT

AI Product Builder - IoT & Data Intelligence

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 28, 2027
Working hours: 40 hours/week
Posting language: English
Posted: Oct 30, 2026

Original job description

AI Product Builder – IoT & Data Intelligence

Location: Mississauga, Ontario (hybrid) · Type: Full-time, permanent · Hours: 40 hours/week, Monday to Friday · Team: BUILD

Work arrangement: Hybrid, with at least 3 days a week in our Mississauga office and up to 2 days remote. For strong candidates based outside the Greater Toronto Area, we may consider a remote arrangement.

About ZenduIT / GoFleet / GoZen Intelligence

ZenduIT and GoFleet build technology that helps organizations run fleets and field operations: GPS tracking, driver safety, AI dash cameras, maintenance, compliance, asset monitoring and business intelligence. We are now building GoZen Intelligence, an AI-powered fleet intelligence platform that turns operational data into prioritized insights and actions.

About the role

You will turn ambiguous customer and operational problems into working products. This is not a traditional developer role and not a pure product manager role. You work across product thinking, software, data, AI and prototyping, using real fleet and device data.

What you will do

Understand the real customer problem before you build, and define how success will be measured.
Explore event, alert, fault and device data; spot misleading patterns and challenge assumptions.
Build prototypes, full-stack features, APIs, data workflows and AI-powered tools.
Use AI coding tools (Claude Code, Cursor, Copilot or similar) to move faster.
Keep numbers and safety-critical logic deterministic, and design checks so wrong AI output never reaches a customer.
Test your own work, measure whether it changed customer outcomes, and turn repeated work into reusable components.

What you might build

AI alert prioritization and noise reduction, maintenance and fault intelligence, LLM-powered assistants and summaries, data quality monitoring across device types, and rapid prototypes for new products.

What we are looking for

3+ years building software, data products or automations that other people used.
Clear examples of what you owned, the trade-offs you made and what changed because of your work.
Working knowledge of JavaScript/TypeScript, Angular or React, Node or Python, and SQL or MongoDB (equivalent stacks welcome).
Comfort querying, cleaning and sanity-checking data.
Daily use of AI tools in real work, and an example of catching a wrong AI output.
Comfort with ambiguity and incomplete requirements.
Legally entitled to work in Canada.
Startup, founder, hackathon, IoT, telematics or customer-facing engineering experience is an asset.

Compensation (CAD, annual base, tentative)

3–5 years: $60,000 – $70,000
6–8 years: $71,000 – $89,000
9–11 years: $90,000 – $11,0000

These ranges are tentative and will be finalized as we move through the hiring process, based on the level we hire for, assessed skills and internal equity.

Hiring process

Application → AI-assisted interview → Practical case study → Hiring manager → Final conversation

Use of AI in our hiring process. We use AI tools to help screen, assess and select applicants, and our first interview is conducted by an AI interviewer. People review every application and interview, and people make every hiring decision. If you would rather speak with a person, tell us and we will arrange it. This will not affect your application. AI tools are encouraged in the case study; we will ask how you used them and how you verified the output.

Diversity and inclusion. ZenduIT / GoFleet is an equal opportunity employer. We welcome applicants of every background, identity, age and ability, and we assess what you can do, not where you did it. Canadian work experience is not required.

Accommodation. Accommodations are available at every stage of recruitment, in line with the Ontario Human Rights Code and the AODA. Tell us what you need when you apply or at any point in the process. We keep this information confidential and use it only to arrange your accommodation.

Vacancy and response. This posting is for an existing vacancy. We will tell every interviewed candidate the outcome within 45 days of their last interview.

Apply About employer

More about this job

Responsibilities

Translate customer and operational problems into measurable product goals, then build prototypes, full-stack features, APIs, data workflows, and AI-powered tools using fleet and device data. Test and evaluate the impact of the work, keep safety-critical logic deterministic, and create safeguards against incorrect AI outputs.

Requirements

Applicants should have at least 3 years of experience building software, data products, or automations used by others, with clear examples of ownership, trade-offs, and outcomes. They should be comfortable with a relevant software stack, querying and validating data, using AI tools in practical work, and working with ambiguity; legal authorization to work in Canada is required.

Skills

JavaScript
TypeScript
Angular
React
Node.js
Python
SQL
MongoDB
Full-Stack Development
API Development
Data Workflows
Data Analysis
Artificial Intelligence
Large Language Models
IoT
Telematics

Visa sponsorship

Not detected in the job text

Keywords

Fleet Intelligence
GPS Tracking
Driver Safety
AI Dash Cameras
Maintenance
Compliance
Asset Monitoring
Business Intelligence
IoT
Telematics
Event Data
Alert Data
Fault Data
Device Data
AI Alert Prioritization
Noise Reduction
Maintenance Intelligence
Data Quality Monitoring
Prototyping
Full-Stack Development
API Development
Data Workflows
Artificial Intelligence
Large Language Models
Claude Code
Cursor
GitHub Copilot
JavaScript
TypeScript
SQL

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