Donor engagement and church management platform with giving, streaming, and analytics
Pushpay operates a full-stack giving and engagement platform for mission-driven organizations, primarily churches and parishes. The tech stack reveals a hybrid modernization strategy: React/Svelte/TypeScript on the frontend, .NET 8 + C# on backend services, PostgreSQL and SQL Server for data, and AWS infrastructure (Kinesis, SQS, RabbitMQ for event-driven pipelines). Active projects signal a three-part expansion: hardening streaming and A/V infrastructure (product launches, streaming configs), rebuilding operational workflows (onboarding playbooks, support workflows), and penetrating new verticals (Catholic customers, dioceses, corporate/non-profit markets).
Notable leadership hires: Tech Lead
Pushpay is a public company headquartered in Redmond, Washington, building software for churches, parishes, and mission-based organizations across the United States and New Zealand. The platform spans multiple surfaces: ChurchStaq and ParishStaq (all-in-one management suites), Pushpay Giving (donation processing), Pushpay Insights (data and engagement analytics), mobile apps, and Resi Live Streaming (broadcast infrastructure). The company has identified legacy modernization and operational efficiency as internal friction points—particularly in volunteer workflows, accounting processes, and the division between inherited systems and newly built services. Current focus includes scaling customer success operations, refining onboarding for different customer segments (particularly Catholic dioceses), and pushing into adjacent verticals beyond traditional church markets.
Frontend: React, Svelte, SvelteKit, TypeScript, JavaScript. Backend: .NET 8, C#, .NET Core, ASP.NET, Entity Framework, Node.js. Data: PostgreSQL, SQL Server, DynamoDB. Infrastructure: AWS (Kinesis, SQS), RabbitMQ, Cognito, Salesforce, NetSuite.
Redmond, Washington. The company also operates offices in New Zealand and maintains a distributed team across both countries.
Pushpay'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.