All-in-one platform for photographers to deliver, sell, and manage client work
Pixieset operates a full-service SaaS platform for photographers covering delivery, e-commerce, and client booking. The tech stack is PHP/Laravel-heavy on the backend with Vue/React frontends, backed by PostgreSQL and MySQL—a mature, pragmatic choice reflecting a decade-old product. Active projects cluster around platform reliability, observability, and shared infrastructure services, while pain points center on scaling shared platform layers and managing legacy gallery code, suggesting Pixieset is in a refactoring phase to support growth without breaking existing customer workflows.
Notable leadership hires: Technical Lead
Pixieset is a Vancouver-based SaaS platform built for photographers and creatives, offering an integrated suite for client galleries, photo delivery, print sales, booking, and payments. Founded in 2013, the company operates at 51–200 employees and serves millions of photographers globally. The product is structured around shared backend services and APIs that power multiple customer-facing surfaces—galleries, e-commerce, and operations tooling. Pixieset is actively hiring across engineering (4 open roles) and support (1 role), all based in Canada, with a balanced seniority mix from junior to manager and lead-level positions.
Backend: PHP, Laravel, Symfony, MySQL, PostgreSQL, Redis. Frontend: Vue, React, JavaScript, TypeScript. Infrastructure: AWS, GCP, Azure, Cloudflare. Payments: Stripe, Apple Pay. Observability: Sentry. Other: Auth0, Figma, Jira.
Core focus: platform reliability, shared services infrastructure, DevOps and security initiatives, observability improvements, and API evolution. Secondary: knowledge base expansion, client gallery modernization, and support process improvements.
Pixieset'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.