Rental screening and decisioning platform for property managers
Findigs sells rental screening and approval software to US property managers, with a data science core (Pandas, scikit-learn, statsmodels, Snowflake, dbt) behind its decisioning and fraud detection. Current hiring tilts toward sales and support at senior and manager levels, and job posts focus on SDR playbooks, pipeline consistency and complex deal cycles, which suggests a company pushing harder on outbound go-to-market than on product headcount.
Findigs, Inc. is a privately held company founded in 2018 and headquartered in New York. It builds a rental screening and decisioning platform that helps property managers evaluate applicants and gives renters a faster path through the application process. Its customers are property management operators across the United States. The company employs 51–200 people and currently hires only in the United States.
Findigs runs Python, Django, TypeScript, React and Node.js on PostgreSQL, with Temporal, Docker and Kubernetes across AWS, GCP and Azure. Its data layer includes Snowflake, dbt, Pandas and scikit-learn.
Yes. Current openings are mostly in sales and support, at senior and manager levels, with job posts focused on SDR playbooks, outbound refinement and strategic account planning. All roles are US-based.
Findigs uses Salesforce and HubSpot for CRM and marketing, Salesloft for outbound sequencing, Gong for conversation intelligence, and DocuSign for contracts.
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Findigs, Inc.'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.