GoFundMe runs a consumer crowdfunding platform on an AWS-native serverless stack (Lambda, Step Functions, SQS, API Gateway) with Go, Node.js and Python services. Payments is the hottest internal theme: job posts repeatedly cite scaling payments infrastructure and payout lifecycles. A Databricks, Snowflake and scikit-learn data layer plus batch inference work points to ML maturing into production, while Cursor adoption shows engineers moving onto AI coding tools.
GoFundMe operates an online fundraising platform where organizers create campaigns for personal needs, community projects and charitable causes, and donors contribute online. The company is privately held, headquartered in Redwood City, California, and employs between 201 and 500 people. Its team spans engineering, data, marketing, product, legal, security and sales functions. Hiring currently covers the United States and Australia.
GoFundMe uses Python, Go and Node.js on AWS (Lambda, Step Functions, SQS, Glue), with Docker, Kubernetes and Terraform, plus Snowflake, Databricks, Looker and Tableau for data.
Yes. Engineering is GoFundMe's largest hiring area, weighted toward senior and staff roles, with data and marketing roles also open in the United States and Australia.
Job posts point to next-generation payments infrastructure, payout solutions, scalable data science and batch inference pipelines, and stronger on-call and incident response processes.
Other companies in the same industry, closest in size
GoFundMe'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.
