Workplace management software for space planning, booking and visitors
OfficeSpace Software sells workplace management software covering space planning, desk and room booking, visitor and asset management. Its hiring is sales- and support-led and skews senior, while job posts repeatedly cite renewal churn and customer adoption. The pressure is post-sale retention, not product build. A heavy GTM stack (Salesforce, Salesloft, Gong, 6sense, Gainsight) sits alongside AI projects in prospecting, proposals and customer health scoring.
OfficeSpace Software is an Atlanta-based, privately held company founded in 2006 with 201–500 employees. It builds workplace software that helps organizations plan office space, book desks and rooms, guide employees around facilities, manage visitors and assets, and report on utilization. The product increasingly incorporates AI workflows and predictive analytics. The platform runs on Ruby on Rails, Python and React on GCP, with BigQuery and Kafka for data. The company hires in the United States, Mexico and Costa Rica.
OfficeSpace runs Ruby on Rails, Python and React on GCP, with BigQuery, Kafka, MySQL and PostgreSQL. Infrastructure uses Terraform, Ansible and Puppet, monitored with Datadog, Prometheus and Grafana.
Yes. Hiring is accelerating and centers on sales and customer support, mostly at senior level, with smaller needs in engineering, finance, HR and product across the United States, Mexico and Costa Rica.
Job posts point to enterprise onboarding and adoption programs, AI-assisted prospecting, AI-generated proposals, AI-powered customer health monitoring, and broader AI platform architecture work.
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OfficeSpace Software's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.