Point offers homeowners a home equity investment product as an alternative to loans, and packages that owner-occupied housing exposure for investors. Its stack pairs Python, Ruby and TypeScript with multi-cloud infrastructure (AWS, GCP, Azure) and LLM observability via Langfuse, which points to production AI work. Hiring is accelerating and skews senior, and the project list centers on AI customer agents and a new security detection practice built on Coralogix.
Point is a privately held fintech company founded in 2015 and headquartered in Palo Alto, California, with 51–200 employees. Its core product is a Home Equity Investment that lets homeowners access equity to pay down debt, handle financial hardship or diversify wealth without taking on a monthly payment. The same product gives investors exposure to owner-occupied residential real estate. Point operates as an NMLS-licensed company and currently hires in the United States across engineering, operations, HR, sales, legal and security.
Point runs on TypeScript, Python, Ruby and React with PostgreSQL, deployed with Terraform, Docker and Kubernetes across AWS, GCP and Azure. Data work uses dbt, Tableau and Hightouch, and Salesforce and NetSuite handle business systems.
Job posts point to an AI-powered customer experience roadmap with voice, email, chat and SMS agents, a new detection and response practice with SIEM detections in Coralogix, and a cloud reliability platform.
Yes. Engineering is Point's largest hiring area, followed by HR and operations, and the roles lean senior. All hiring is in the United States and the pace is accelerating.
Other companies in the same industry, closest in size
Point'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.
