Jobs at FacilityOS

Perform manual testing for web, mobile, and desktop SaaS applications: review requirements, create test plans/cases, execute tests, document and track defects, run integrations and regressions, perform root-cause analysis, and collaborate with cross-functional teams to improve QA processes.

Outbound-focused BDR responsible for prospecting, qualifying, and booking demos in an assigned territory using calls, email, LinkedIn, and prospecting tools. Develop messaging and cadences, run discovery conversations, collaborate with Account Executives, meet monthly targets, and provide feedback to improve BDR effectiveness.

Design, build, and maintain the data warehouse and data lake, schemas, and reliable ETL/ELT pipelines to support AI agents and analytics. Implement data governance, quality checks, lineage, and access controls to meet ISO27001 and SOC2 Type 2. Partner with AI, InfoSec, and product teams to enable agent orchestration, integrate with Microsoft 365/Graph/OAuth, monitor platform health and costs, and support AI program planning and documentation.

Lead backend design, development, and maintenance of .NET-based services; modernize legacy systems incrementally; write tests and perform code reviews; troubleshoot production issues; collaborate with engineering, product and architecture to deliver scalable cloud-native SaaS/PaaS solutions.

Build, maintain, and modernize backend .NET services; understand legacy systems; design scalable RESTful APIs; write tests and perform code reviews; troubleshoot production issues; collaborate with architects and product teams to improve platform and delivery.

Build and maintain FacilityOS's AI agent architecture: RAG pipelines, agent orchestration, integrations with Microsoft 365/Outlook/Teams, secure auth, evaluation harnesses, compliance-ready deployment, and cross-functional enablement for department-owned agents.

Develop, review, and maintain full-stack .NET web applications across the FacilityOS platform. Participate in code reviews, use static analysis tools, troubleshoot staging/production issues, collaborate with engineering and project managers, and research platform improvements.

Manage and optimize the marketing technology stack, support integrations (HubSpot, Salesforce, Zapier, etc.), build automations and campaigns, maintain data hygiene and reporting, document processes, and collaborate with revenue operations and marketing teams to improve attribution and pipeline.

Own and project-manage end-to-end customer onboarding for FacilityOS: run training sessions, configure software to customer use cases, coordinate kiosk/hardware delivery, ensure data handling compliance, drive fast time-to-value and high CSAT, and improve onboarding processes.

Provide customer support via email, chat, phone, and video; diagnose and resolve software, hardware, mobile app, and integration issues; reproduce and document bugs; liaise with Engineering, QA, and Professional Services; create customer and internal documentation and training; and improve support processes to increase team efficiency.

Lead execution of an enterprise AI program: govern a portfolio of cross-functional AI initiatives, build org-wide AI enablement and infrastructure, coordinate stakeholders and vendors, report program health to C-suite, and coach departments through AI adoption.