Jobs in Toronto, ON and nearby

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

50,514 listings · 7,130 employers Counted Oct 5, 2026. How we count

About these jobs

Employers hiring include Scotiabank (575 listings), Loblaw Companies Limited (526 listings), AtkinsRéalis (452 listings).

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

7,653 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	4,751
CAD / hour	23.70	2,092
USD / year	110,000.00	393
USD / hour	20.00	121
GBP / hour	35.00	14
CAD / month	4,000.00	13
CAD / week	868.50	12

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, 30% hybrid, 70% 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 5 hours ago
HR
Bid Procurement Project Manager
Hitachi Rail
Toronto, ON
- Full-time
Added 5 hours ago
BI
Protection & Control Engineer-IV
Business Integra Inc
Markham, ON
- Contract
Added 5 hours ago
HR
Technical Safety Specialist
Hitachi Rail
Toronto, ON
- Full-time
Added 5 hours ago
ZA
Licensed Technician - Maple Nissan (26292)
Zanchin Automotive Group
Vaughan, ON
- Full-time
Added 5 hours ago
PS
Warehouse Operations Associate
Physio Supplies Canada
Mississauga, ON
- Part-time
Added 5 hours ago
ZA
Luxury Sales Manager - Mercedes-Benz Toronto Queensway
Zanchin Automotive Group
Toronto, ON
- Full-time
Added 5 hours ago
HI
Surgical Sales Specialist - Southwestern Ontario
Hologic, Inc.
Toronto, ON
- Full-time
Added 5 hours ago
HR
Deployment Bid Technical Lead
Hitachi Rail
Toronto, ON
- Full-time
Added 5 hours ago
S&
Field Supervisor
SIRATI & PARTNERS CONSULTANTS LTD.
Markham, ON
- Full-time
Added 5 hours ago
ME
Project Coordinator
March Elevator Limited
Mississauga, ON
- Full-time
Added 5 hours ago
CC
Senior Corporate Accountant
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
Added 5 hours ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
Added 5 hours ago
GB
Customer Service Specialist
Gee Beauty
Toronto, ON
- $50,000 to $60,000 CAD / year
- Full-time
Added 5 hours ago
BE
Intermediate Ecologist (Terrestrial)
Beacon Environmental Limited
Markham, ON
- Full-time
Added 5 hours ago
KL
Associate Lawyer
KSI Law
Markham, ON
- Full-time
Added 5 hours ago
ER
Eloise & Bar Cart - Floor Manager
Esplanade Restaurants Ltd.
Toronto, ON
- Full-time
Added 5 hours ago
I
Director of Revenue Growth & Partnerships
InsuranceWorks.ca
Toronto, ON
- Full-time
Added 5 hours ago
KL
Legal Resolutions Officer
KSI Law
Markham, ON
- Full-time
Added 5 hours ago
ZA
Senior Lot Attendant - Mercedes Benz Mississauga (26311)
Zanchin Automotive Group
Mississauga, ON
- Full-time
Added 5 hours ago
KC
People & Culture Coordinator
Kenaidan Contracting Ltd.
Mississauga, ON
- Full-time
Added 5 hours ago
HR
Hardware Electrical Designer, Senior
Hitachi Rail
Toronto, ON
- Full-time
Added 5 hours ago
V
Procurement Specialist
Vaco
Concord, ON
- $60,000 to $70,000 CAD / year
- Full-time
Added 5 hours ago
CS
Data Engineer – Azure Databricks / Data Modeling
Confiar Services
Toronto, ON
- Contract
Added 5 hours ago
Psychologist - Gender Identity Service
CAMH
Toronto, ON
Added 5 hours ago
LC
Personal Support Worker_Relief (Bargaining Unit Position)
LOFT Community Services
Toronto, ON
- $24.37 CAD / hour
- Full-time

Ask-AI

Solutions Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 4, 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

You will own the technical and operational success of customers by managing the full lifecycle from pre-sale pilots to post-sale deployment. This includes configuring AI workflows, managing integrations, and driving adoption to ensure measurable value for the client.

Requirements

Candidates should have 2-4 years of experience in solutions engineering or technical consulting with a strong background in AI products and API integrations. You must be comfortable with technical tasks like debugging JSON, writing SQL, and leading customer-facing technical sessions.

Skills

Solutions Engineering
Technical Consulting
AI Models
Prompt Engineering
API Integrations
Workflow Automation
Data Mapping
SQL
JSON
Salesforce
Zendesk
Intercom
Atlassian
Gong
Customer Success
Technical Validation

Visa sponsorship

Not detected in the job text

Keywords

Solutions Engineer
AI Platform
Enterprise AI
SaaS
API
Workflow Automation
Data Mapping
Prompting
SQL
JSON
Salesforce
Zendesk
Intercom
Atlassian
Gong
Customer Success
Technical Consulting
Implementation
Proof-of-value
Onboarding
Product Lifecycle
Technical Validation
Integration
Customer Context Model
Agent Builder
Governance
Traceability
Metrics
Deployment
Optimization

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