Feathr sells a unified email, digital advertising and retargeting platform to associations, nonprofits and arts organizations. Its revenue stack (Salesforce, HubSpot, Planhat, Intacct) is being simplified and rebuilt, with job posts flagging legacy complexity and redundant revenue workflows. Hiring tilts toward ops, support and customer success at director and VP level, pointing to a retention-focused push alongside a company-wide AI transformation.
Notable leadership hires: Account Director
Feathr, founded in 2012 and headquartered in Gainesville, Florida, builds a marketing and communications platform for mission-driven organizations. Its customers are associations, nonprofits, and arts and culture groups that use the product for event promotion, membership growth, sponsor engagement and supporter re-engagement. The platform combines email, ad targeting, retargeting, automation and reporting. The company is privately held with 51–200 employees and hires in the United States. Its product runs on Python, Flask, MongoDB, Elasticsearch and Redis on AWS, with React and TypeScript front ends.
Feathr uses Python, Flask, MongoDB, Elasticsearch, Redis and AWS, with React, Vue, TypeScript and Vite on the front end, Docker, Kubernetes and Terraform for infrastructure, and Salesforce, HubSpot and Planhat for revenue.
Yes. Feathr is hiring steadily in the United States, mostly in ops, support and customer success, with senior leadership openings including an Account Director.
Feathr is rebuilding its revenue processes and systems, setting up reporting visibility, and running a company-wide AI transformation with AI tool governance, plus efforts to improve engineering velocity.
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Feathr'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.
