Jobs in Toronto, ON and nearby (97,132 jobs)

Jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

97,132 listings · 11,034 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,566 listings), Loblaw Companies Limited (1,359 listings), S M Software Solutions Inc (1,159 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

15,859 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	85,000.00	9,295
CAD / hour	26.60	6,034
USD / year	155,000.00	78
CAD / month	4,500.00	39
CAD / week	1,650.00	34
CAD / day	140.00	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: 0% remote, 29% hybrid, 71% 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

Jobs in Toronto, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 7 hours ago
A
Manager, Sales Compensation
Aviso
Toronto, ON
- $110,000 to $135,000 CAD / year
- Full-time
Added 7 hours ago
HE
Marketing Associate
Hype Events
Toronto, ON
- $41,000 to $45,000 CAD / year
- Full-time
Added 7 hours ago
M
CNC Machinists, Lathe and Mills - CFN Precision, Vaughan
MAGROUP
Vaughan, ON
- Full-time
Added 7 hours ago
JG
Sr. Guidewire PolicyCenter Integration Developer
J&M Group
Toronto, ON
- Full-time
Added 7 hours ago
MC
Product Marketing Manager - Offline & Content Marketing
Moomoo Canada
Toronto, ON
- Full-time
Added 7 hours ago
DI
Cost Accounting Manager
Drake International
Vaughan, ON
- Full-time
Added 7 hours ago
B
In-Store Sales Assistant
Boomerang
Toronto, ON
- Full-time
Added 7 hours ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Added 7 hours ago
Associate VP
DEPT®
Toronto, ON
Added 7 hours ago
LC
Meat Clerk Part Time Evening
Loblaw Companies Limited
Mississauga, ON
- Part-time
Added 7 hours ago
LC
Cashier Part Time Day Greenlight Requisition
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 7 hours ago
LC
Grocery Clerk Part Time Night
Loblaw Companies Limited
Mississauga, ON
- Part-time
Added 7 hours ago
Talent Acquisition & Culture Specialist
Human Resources
Toronto, ON
Added 7 hours ago
E
Corporate Accountant
Enwave
Toronto, ON
- Full-time
Added 7 hours ago
T
Marketing Manager (Integrated Marketing Planning)
TD
Toronto, ON
- Full-time
Added 7 hours ago
T
Software Engineer II - Senior IVR Developer
TD
Toronto, ON
- Full-time
Added 7 hours ago
T
Audit Manager I (ATH 1239)
TD
Toronto, ON
- Full-time
Added 8 hours ago
Senior Manager, Sales Enablement and Strategy
Metergy Solutions
Toronto, ON
Added 8 hours ago
C
Associate Graduate Leadership Development Program - Summer 2027
CIBC
Toronto, ON
- Full-time
Added 8 hours ago
E(
Heavy Duty Cleaner Full Time Permanent
ESFM (CCSSL Eurest)
Toronto, ON
- Full-time
Added 8 hours ago
MA
Solutions Engineer
Mosaic AI
Toronto, ON
- Full-time
Added 8 hours ago
MA
Sales Development Representative
Mosaic AI
Toronto, ON
- Full-time
Added 8 hours ago
TT
Manager, Project Controls (14009)
Toronto Transit Commission (TTC)
Toronto, ON
- $140,176.4 to $175,284.2 CAD / year
- Full-time
Added 8 hours ago
P
Junior Solutions Engineer
Pontosense
Toronto, ON
- Full-time
Added 8 hours ago
P
Director of Finance
Pontosense
Toronto, ON
- 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: Nov 9, 2027
Posting language: English
Posted: Oct 15, 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 across pre-sale and post-sale, including proof-of-value pilots, technical validation, onboarding, integrations, and production deployment. Monitor and optimize AI workflows, enable users, measure and communicate business impact, and support customer retention and expansion.

Requirements

Requires 2–4 years of experience in solutions engineering, technical consulting, technical account management, or implementation, preferably with SaaS, AI, or automation products. Candidates should be comfortable with AI models and workflow automation, API documentation and debugging, JSON, basic SQL, customer project ownership, and customer-facing technical and executive sessions.

Skills

Solutions Engineering
AI Prompting
API Integrations
JSON Debugging
SQL
Data Mapping
Workflow Automation
Technical Consulting
Customer Onboarding
AI Workflow Configuration
Prompt Tuning
Project Management
Customer Enablement
Outcome Measurement
Executive Presentations
Customer Success

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Models
Prompting
Prompt Tuning
Workflow Automation
Proof Of Value
Technical Validation
API Integrations
API Documentation
JSON
SQL
Data Mapping
Authentication Debugging
Schema Debugging
SaaS
Customer Onboarding
Customer Success
Production Deployment
Agent Performance
Outcome Measurement
Salesforce
Zendesk
Intercom
Atlassian
Gong
Customer Experience
Go-To-Market Systems
Renewals
Customer Expansion

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