Full-time jobs in Canada

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

191,208 listings · 19,710 employers Counted Oct 5, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,957 listings), Starbucks Coffee Company (1,935 listings), Loblaw Companies Limited (1,536 listings).

Common roles: Project manager, Sales representative, Store manager.

21,347 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 / year	81,520.00	12,309
CAD / hour	24.00	6,336
USD / year	95,500.00	1,058
USD / hour	20.00	425
CAD / month	5,692.25	237
CAD / week	750.00	25
CAD / day	380.00	15
GBP / hour	35.00	15
USD / month	5,000.00	15
GBP / year	40,000.00	13

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, 18% hybrid, 80% 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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Added 4 hours ago
Document Control Coordinator
EBC Inc.
Delta, BC
Added 4 hours ago
GM
Principle Software Engineering – Continuous Integration & Quality Gating
General Motors
Markham, ON
- Full-time
Added 4 hours ago
F/
Director, Total Rewards (Bilingual)
FCC / FAC
Regina, SK · Agriculture Place
- Full-time
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Charge Registered Nurse (Charge RN)- 8hrs/day (0900-1700)
Extendicare
Viking, AB
- Full-time
Added 4 hours ago
E
Resident Programs Manager - Red River Place - Full-Time
Extendicare
Selkirk, MB · LTC - Red River Place (Manchester Ave.)
- Full-time
Added 4 hours ago
MI
Senior Manager Software Engineering
Magna International
Toronto, ON
- Full-time
Added 4 hours ago
SI
Underwriting Assistant - 12 months
Sovereign Insurance
Toronto, ON · Montreal, QC · Calgary, AB
- Full-time
Added 4 hours ago
DB
Local Marketing Consultant
Driven Brands Inc.
Laval, QC · Canada - Laval QC
- Full-time
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Server
Boston Pizza
Kenora, ON
- Full-time
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AUDIT ANALYST
City of Toronto
Toronto, ON
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SENIOR CHANGE MANAGEMENT CONSULTANT
City of Toronto
Toronto, ON
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UO
Assistant Professor - Climate and Community Health Equity
University of Toronto
Toronto, ON
- $145,000 to $165,000 CAD / year
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Finance and Operations Assistant
University of Toronto
Toronto, ON
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Graduate Program Coordinator
University of Toronto
Toronto, ON
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S
Outbound Warehouse Supervisor - Salary
Sysco
Winnipeg, MB · Sysco Winnipeg
- Full-time
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Senior Security Specialist, AI Fabric
Bell
Regina, SK
Added 4 hours ago
ST
Senior Associate, Investor Services
SS&C Technologies
Toronto, ON · Mississauga, ON
- Full-time
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Train Performance Manager
Alstom
Saint-Bruno, QC
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Software Quality Metier Manager
Alstom
Saint-Bruno, QC
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Continuing Care Assistant
Bayshore
Sheet Harbour, NS
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N3
Warehouse Trainer
NRI 3PL
Surrey, BC
- Full-time
Added 4 hours ago
N3
Warehouse Trainer
NRI 3PL
Surrey, BC
- Full-time
Added 4 hours ago
EH
Bilingual Tagalog Speaking Home Care Field Supervisor
Emsa Home Care
Field, BC
- Full-time
Added 4 hours ago
LM
MECHANICAL DESIGNER
Laframboise Mechanical Electrical Ltd
Long Sault, ON
- Full-time
Added 4 hours ago
E
sales supervisor - retail
Esso
Cherryville, BC
- Full-time

Mosaic AI

Solutions Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 3, 2027
Posting language: English
Posted: Sep 8, 2026

Original job description

About Us:

Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company's systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows.

That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it's a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers' cost to serve. We're hiring engineers and product leaders who want to build systems that get more capable the more they run.

About The Role

We’re hiring a Solutions Engineer to own the technical and operational success of our customers from pre-sale through post-sale. This is a full-lifecycle role: you’ll run POVs, lead onboarding, configure and tune AI workflows, and drive real adoption and expansion outcomes.

This is not a demo jockey role. You will be embedded with customers to make AI work in production - configuring integrations, managing agent performance, solving real workflow problems, and proving value.

Requirements:

What You’ll Do:

Partner with AEs to run high-impact POVs (proof-of-value pilots)
Own technical validation: data mapping, light integrations, prompt setup, outcome measurement
Be the technical face of the company in pre-sale cycles
Own onboarding: configure AI workflows, connect integrations, ensure functional go-live
Drive activation: monitor AI output quality, guide user enablement, tune prompts and logic
Prove and communicate value: track impact metrics, partner with AE and Value team on expansions
Retain ownership of technical success through renewals

Who You Are:

AI-fluent: You understand how AI models work (prompting, edge cases, accuracy, drift) and can speak confidently about them with customers.You stay ahead of AI trends, experiment with the latest tools and techniques, and aren't afraid to hack together fast, creative solutions to demonstrate what’s possible. You know that delivering AI in the wild takes iteration, curiosity, and a builder’s mindset.
Technical: You’re comfortable reading API docs, debugging JSON payloads, writing basic SQL, and working hands-on with data.
Operational: You can map a customer’s workflow, translate it into a system configuration, and drive the changes needed to make AI stick.
Customer-facing: You can lead a technical working session and hold the room in an executive QBR.
Outcome-oriented: You don’t just deliver tasks - you deliver successful, referenceable deployments that grow.

Experience We’re Looking For:

2–4 years in a solutions engineering, technical consulting, TAM, or implementation role at a SaaS, AI, automation, or consulting firm
Experience working directly with AI powered products, workflow automation platforms, and GTM systems (e.g., Salesforce, Zendesk, Intercom, Atlassian, Gong)
Strong working knowledge of API integrations - including how to read API docs, test endpoints, structure payloads, and debug authentication or schema issues
Familiarity with SaaS delivery models, including onboarding, post-sale deployment, and customer success workflows
Ability to independently manage technical customer projects end-to-end - from pre-sale pilots to full production delivery and ongoing optimization

Why This Role Matters:

We’re an AI-native platform used by GTM and CX teams in modern B2B SaaS companies. Our customers trust us to leverage AI to transform how their customer facing teams operate. This role is the tip of the spear in making that real. You’re the difference between a cool demo and a live deployment that drives revenue.

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More about this job

Responsibilities

Lead customer technical success throughout the full lifecycle, from pre-sale proof-of-value pilots and technical validation through onboarding, production deployment, optimization, and renewals. Configure integrations and AI workflows, monitor and improve agent performance, enable users, and demonstrate customer value to support adoption and expansion.

Requirements

The role seeks 2–4 years of experience in solutions engineering, technical consulting, technical account management, or implementation, ideally with AI-powered products, workflow automation, and go-to-market systems. Candidates should be comfortable with API documentation and integrations, JSON payloads, basic SQL, customer workflow configuration, and independently managing technical projects from pilot to production.

Skills

Solutions Engineering
AI Workflow Configuration
Prompt Engineering
API Integrations
Data Mapping
JSON Debugging
SQL
Workflow Automation
Customer Onboarding
Technical Validation
AI Performance Monitoring
Customer Enablement
Project Management
Value Measurement
Executive Communication

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Agents
Agent Builder
Prompt Engineering
AI Workflow Automation
API Integrations
API Documentation
JSON
SQL
Data Mapping
Technical Validation
Proof Of Value
Customer Onboarding
SaaS
Salesforce
Zendesk
Intercom
Atlassian
Gong
Customer Success
Go-To-Market Systems
Workflow Configuration
AI Performance Monitoring
Outcome Measurement
Customer Experience
Technical Consulting
Production Deployment
Renewals
Expansion
Customer Context Model

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