Resident experience and benefits platform for property management firms
Second Nature sells a resident experience platform to property managers, bundling onboarding with a benefits package covering utilities setup, renters insurance and pest control. Its stack splits between a GCP data layer (BigQuery, Dataflow, Pub/Sub, Cloud Composer) and AWS ECS services in Go, TypeScript and NestJS. Accelerating hiring across engineering, product, sales and support, paired with pain points around attach rates and unit economics, points to monetization growth per resident.
Second Nature, founded in 2012 and headquartered in Raleigh, North Carolina, builds software and services for professional property management companies. Its Resident Experience Platform pairs resident onboarding with a Resident Benefits Package that bundles services renters need when moving in, such as utilities setup, insurance and pest control. The company is privately held with 201–500 employees and hires in the United States. Sales efforts include mid-market property management firms, supported by Salesforce, Salesloft, Gong and Totango for customer acquisition and success.
Second Nature runs Python, Go, TypeScript, React, Next.js and NestJS on PostgreSQL, with GCP (BigQuery, Dataflow, Pub/Sub) and AWS ECS, deployed via Docker, Kubernetes and Terraform, plus Salesforce and HubSpot.
Current work centers on upselling its Resident Benefits Package, growing attach rates, its Resident Experience Platform and onboarding, the Maestro orchestrator, and Salesforce data accuracy.
Yes, hiring is accelerating in the United States across engineering, product, sales and support, spanning mid-level to VP seniority.
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Second Nature'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.