About Us
We’re a B2B SaaS company helping mid-to-large enterprises stay safe, compliant, and operationally sharp through our industry-leading facility management platform. Now 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.)
About The Role
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 Engineer, 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.
- 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.
FacilityOS Commitment
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 or United States.
Background and Reference Checks
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.
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 thanks all candidates for their interest, however only those selected to continue in the process will be contacted.
Compensation Range: CA$105K - CA$125K
