Smart home and operations platform for multifamily rental housing
SmartRent delivers IoT hardware and cloud software to property managers across the multifamily sector, with a tech stack split between backend services (Elixir, Phoenix, gRPC) and mobile/hardware integration (Flutter, Z-Wave, Appium). The hiring mix is heavily sales-weighted (6 of 13 active roles) and leadership-focused (5 senior, 4 director level), suggesting aggressive account expansion rather than product rearchitecture. Pain points cluster around low platform adoption and high maintenance costs — typical friction points for hardware-software hybrids scaling into enterprise accounts.
Notable leadership hires: Sales Director
SmartRent builds a unified platform for smart home automation and community operations, serving 15 of the top 20 multifamily owners and operators in the United States. The product combines IoT hardware (locks, sensors, access controls) with a SaaS management layer that gives site teams visibility and automation over properties, allowing operators to streamline workflows and open new revenue channels. The company is headquartered in Phoenix, Arizona, and was founded in 2017. Current operational challenges center on penetrating existing accounts more deeply and managing the operational burden of a hardware-software hybrid at scale.
Backend: Elixir, Phoenix framework, gRPC. Frontend/mobile: Flutter, JavaScript, TypeScript. Hardware: Z-Wave protocol, Appium for testing. Infrastructure: AWS, Datadog, CircleCI. Sales/marketing: Salesforce, Gong, Pardot, LinkedIn Ads, ZoomInfo.
Phoenix, Arizona. The company is a public company founded in 2017 with 201–500 employees, all hiring currently based in the United States.
SmartRent'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.