People-data intelligence and ML insights for go-to-market teams
Windfall sells people-data intelligence to go-to-market teams, built on a Python ML stack (scikit-learn, XGBoost, Pandas) running on GCP with BigQuery and Pub/Sub, plus LiveRamp for data onboarding. Hiring is minimal and tilts toward sales, marketing and support rather than engineering, and recurring pain points around nonprofit account expansion, churn and adoption gaps point to a retention-focused push into the nonprofit segment.
Windfall is a San Francisco-based, privately held company founded in 2016 with 51–200 employees. It provides people data and AI-driven insights that help organizations prioritize where to spend go-to-market effort, with analytics and customer intelligence as its stated specialty. The company reports more than 1,500 organizations using its platform, and job posts reference a nonprofit customer base. Its product engineering uses Java, Kotlin, TypeScript and React on GCP, and current hiring is based in the United States.
Windfall uses Python with Pandas, scikit-learn and XGBoost for modeling, BigQuery and Pub/Sub on GCP, PostgreSQL, Java, Kotlin, TypeScript and React, plus Salesforce, HubSpot, Outreach and LiveRamp.
Yes. Sales is the largest area of Windfall's current hiring, followed by marketing and support, with roles based in the United States. Overall hiring velocity is currently minimal.
Windfall is headquartered in San Francisco, California. It was founded in 2016 and has 51–200 employees.
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Windfall'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.