Daily multifamily rent and concession data for market surveys and pricing
ApartmentIQ runs a daily multifamily market data platform on Ruby on Rails, React and MySQL, with Python and Terraform supporting a data pipeline being rebuilt from scratch. Job posts point to an AI-native push, including LLM-based ingestion with verification of AI-generated output. Hiring is accelerating and balanced between product and sales, with a Head of Product search underway, backed by a mature sales stack of Salesforce, Salesloft, Gong and ZoomInfo.
Notable leadership hires: Head of Product
ApartmentIQ is a privately held company headquartered in Madison, Wisconsin, with 51–200 employees. It provides a daily data platform for the multifamily apartment industry, covering market surveys, market research and revenue management. Its data on units and concessions is collected from public property websites. Customers include apartment owners, operators and investors, who use the platform to benchmark performance and price assets. Hiring is focused in the United States across product, sales, engineering and data.
ApartmentIQ uses Ruby on Rails, React, Tailwind CSS, Python, MySQL and Terraform, plus Retool, n8n, Zapier and Domo. Its go-to-market tools include Salesforce, HubSpot, Salesloft, Gong and ZoomInfo.
Job posts describe a ground-up data pipeline rebuild, observability and alerting, Terraform-based infrastructure, and AI-native products for ApartmentIQ and MavenAI, including LLM-based ingestion.
ApartmentIQ is headquartered in Madison, Wisconsin, and currently hires in the United States across product, sales, engineering, data, marketing and finance.
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ApartmentIQ'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.