Location: North York, Toronto, ON (Hybrid — 2+ days in office)
Title: GTM AI Operator
Reports To: VP, Revenue Operations
Compensation: $105,000 - $125,000
Benefits: Paid time off, with a comprehensive health and benefits package
Visa Sponsorship: Not available
FacilityOS is a dynamic and innovative B2B SaaS company headquartered in the heart of Toronto's vibrant tech ecosystem. We are on a high-growth trajectory, providing a market-leading platform that helps businesses improve their safety, security, compliance, and efficiency across many critical facility touchpoints. We’re weaving AI into the fabric of our GTM motion—support, success, sales, marketing—and looking for someone to help us get it right (not "kind of right," like a ChatGPT recipe for beef wellington. Actually right.)
This is a hybrid position where you'll be required to be in office at least two days a week with the flexibility to work from home the remaining days if desired.
We’re building our first AI Workforce — a collection of intelligent agents that help Sales, Marketing, and Customer Success work smarter and faster.
As our GTM AI Operator, you’ll help build, configure, and continuously improve these agents. You’ll work at the intersection of data, automation, and human workflows — designing how our “AI brain” learns and operates in the real world.
You’ll focus on both how our AI systems connect and run and how they learn and improve over time.
What You’ll Do**
AI Agent Design & Deployment — Build and configure AI agents in low-code environments (e.g., Relevance AI, Make, Zapier, Retool) to support use cases like prospecting, lead follow-up, and customer enablement.
Training & Optimization — Refine prompts, tune logic, and monitor AI agent performance. Identify hallucinations and continuously improve accuracy.
Workflow Integration — Connect AI agents into GTM systems like Salesforce, HubSpot, and Gainsight; ensure clean data flow and reliable handoffs.
Feedback Loops & Governance — Establish testing, QA, and retraining cycles to ensure consistent performance.
Cross-Functional Collaboration — Partner with Sales, Marketing, and Product teams to prioritize use cases and measure impact.
Innovation & Experimentation — Stay current on emerging AI tools and techniques; test and scale new use cases quickly
What You Bring**
2–5 years in RevOps, BizOps, Automation, or GTM Systems roles.
Experience working with low-code or no-code automation platforms (Zapier, Make, Retool, Relevance AI, etc.).
Familiarity with LLMs and prompt design — not to build models, but to operationalize them.
Comfort with light scripting (Python or JavaScript) or data tools (SQL, Excel).
Excellent documentation and cross-team communication skills.
Curious, iterative, and self-starting mindset — you love figuring out how systems work and how to make them better.
You’ll be our first-ever AI Enablement hire—building something meaningful from scratch.
You’ll help define how AI supports our GTM engine across Support, Customer Success, Marketing, and Sales.
You’ll work with RevOps, Product, Sales, and Support teams to drive real impact—fast.
The role is high-visibility and high-growth and will evolve as fast as the AI space does.
Let’s be real: your job will literally be to make robots smarter.
Why work at FacilityOS?
FacilityOS is the global leader in enterprise visitor management, helping complex enterprises digitize, optimize, and automate their key facility process – from streamlined visitor management to emergency evacuation, our Facility OS Platform is cutting edge and driving significant value with our customers.
We work hard and play hard and we do both with passion and respect for one another. Our company promotes a fast-paced, fun, friendly, and highly collaborative work environment that provides:
🩺Comprehensive health coverage (includes Dental and Vision coverage)
🏠A Hybrid work environment with our office based in North York, Toronto
💡Opportunity for advancement and growth
🍕 Catered Events, Snacks, Drinks – You won’t go Hungry!
🥳 Birthday and Life Celebrations
🎉 Two annual parties in a year
We believe that a diverse team is the key to innovation and growth. We are an equal opportunity employer that value diversity at our company and encourage all candidates to apply. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
FacilityOS will accommodate individuals with disabilities through each stage of the recruitment and selection process. Please advise us of any needs when your interview is booked, and we will do our best to meet your needs.
Please note that all candidates must be legally eligible to work in Canada.
Any offer of employment may be conditional upon full background checks including a criminal record check, a credit check and employment and educational verifications. A reference check will also be conducted.
FacilityOS thanks all candidates for their interest, however only those selected to continue in the process will be contacted.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications. These tools assist the recruitment team but do not replace human judgment. All advancement and hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us or click here.
FacilityOS Website: https://www.facilityos.com/
Follow us on LinkedIn: https://www.linkedin.com/company/facilityos
Office location: 5255 Yonge St, Suite 1500 North York, ON M2N 6P4
Please apply via the attached link
--- Seniority level: Associate Employment type: Full-time Job function: Sales Industries: Software Development
Opens the original job posting on facilityos.com
FacilityOS provides visitor and facility management software for enterprise organizations. The platform helps businesses manage facility operations, visitor access, compliance, and security processes. Their target customers are large enterprises requiring integrated solutions for facility management and operational safety.
Visit websiteCA$105,000 – CA$125,000
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