FacilityOS

www.facilityos.com

2 Jobs

193 Employees

About the Company

FacilityOS is a global leader in facility, asset, and visitor management. The company's modular platform is used by security professionals, facility managers, compliance teams, logistics managers, and operational leadership to optimize and automate key facility processes, achieve regulatory compliance, enforce safety protocols, and drive site security requirements. Their end-to-end platform is comprised of interoperable modules for visitor management (VisitorOS), emergency and evacuation management (EmergencyOS), contractor compliance management (ContractorOS), asset and logistics management (LogisticsOS), and physical visitor and contractor access control (SecurityOS).

Listed Jobs

Company Name: FacilityOS
Job Title: AI Enablement Engineer
Job Description: **Job Title**: AI Enablement Engineer **Role Summary**: Enable and optimize AI-driven GTM tools to ensure accuracy, autonomy, and alignment with company knowledge. **Expectations**: Hands-on experience with AI tools, understanding of LLM mechanics, collaboration with cross-functional teams, and proactive problem-solving in AI training and integration. **Key Responsibilities**: - Train, test, and maintain AI-powered GTM tools (e.g., Zendesk AI, knowledge bots) to ensure accurate outputs and alignment with updated product knowledge. - Collaborate with Product, Product Marketing, and Customer Support to curate high-quality training data (docs, FAQs). - Identify and resolve AI hallucinations or errors via prompt tuning, retraining, and data refinement. - Develop QA workflows and internal checklists to validate AI outputs against real-world scenarios. - Stay current on AI feature advancements across GTM platforms and recommend adoption strategies. - Define and communicate standards for "AI readiness" across customer-facing teams. **Required Skills**: - Proficiency with AI tools (ChatGPT, Claude, Grok) and practical experience in AI training/customization. - Understanding of LLM functionality, limitations, and mitigation strategies (e.g., hallucinations). - Strong written communication for crafting prompts, documentation, and training content. - Ability to work cross-functionally with RevOps, Product, and Customer Support. - Proactive, self-directed approach to solving complex or undefined AI challenges. **Required Education & Certifications**: No specific degree required; equivalent practical experience with AI tools and hands-on implementation.

Toronto, Canada

Hybrid

15-10-2025

Company Name: FacilityOS
Job Title: Quality Assurance Engineer
Job Description: **Job title** Quality Assurance Engineer **Role Summary** Ensure the quality and performance of web‑based SaaS applications through manual testing, requirements analysis, and test documentation. Collaborate with cross‑functional teams to identify defects, drive root‑cause analyses, and continuously improve testing processes. **Expectations** - Minimum 2 years of QA experience (or equivalent depth of product knowledge). - Ability to work independently, manage multiple priorities, and own testing activities. - Strong written and verbal communication skills. **Key Responsibilities** - Review requirements, specifications, and design documents for accuracy and completeness. - Produce test plans, strategies, checklists, cases, and bug reports using industry standards. - Execute smoke, integration, regression, and user acceptance tests. - Track, document, and monitor defect lifecycles; perform root‑cause analysis. - Coordinate test schedules, estimate effort, and prioritize testing activities. - Maintain and improve test processes and metrics (defect densities, open defect counts). - Train and support stakeholders on solutions and testing outcomes. **Required Skills** - Detail‑oriented with strong analytical and problem‑solving abilities. - Excellent multitasking, time‑management, and organization. - Proficiency with Confluence, JIRA, Postman, Swagger, Figma, and test management tools (Zephyr, TestRail, etc.). - SQL knowledge and database testing experience. - Familiarity with ASP.NET, C#, and test automation (desirable). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Relevant software testing certifications (e.g., ISTQB, CSQA) preferred. - Hands‑on experience with ASP.NET and C# applications.