Property management operating system with payments, leasing and AI agents
Entrata runs a property management platform on AWS with Node.js, TypeScript, NestJS and PostgreSQL, plus SageMaker, Bedrock, LangGraph and RAG pointing to active work on agentic AI and fine-tuned models for property workflows. Hiring is accelerating and heavily sales-led with many VP-level openings, while engineering focus centers on payments, ledgering and settlement, a sign the company is deepening its money-movement layer.
Entrata is a privately held property management software company headquartered in Lehi, UT, with 1,001–5,000 employees. Its platform covers the resident lifecycle, including marketing, leasing, accounting, operations, resident portals and online rent payments, with a focus on multifamily operators. The company also offers smart home capabilities and an integration ecosystem for operators building their own stacks. Entrata hires across the United States and Canada and sells to commercial property management accounts through regional sales teams.
Entrata uses AWS (ECS, Lambda, SageMaker, Bedrock), PostgreSQL, Node.js, TypeScript, NestJS, Python, Java, Terraform, LangGraph and Apache Spark, with Salesforce, HubSpot, Marketo, NetSuite and Zendesk on the business side.
Yes. Sales is Entrata's dominant hiring area, with many senior and VP-level roles, alongside smaller support, engineering, ops, data and security hiring in the United States and Canada.
Entrata is building an AI and ML delivery platform, autonomous agentic systems, and fine-tuning foundation models for property management workflows, using AWS SageMaker, Bedrock, RAG and LangGraph.
Other companies in the same industry, closest in size
Entrata'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.