Education software platform for collaborative learning across web and mobile
Padlet builds a multi-platform collaboration tool for education using React Native, Swift, and a modern backend (Elixir/Phoenix, PostgreSQL, Redis). The tech stack and active projects reveal a company scaling mobile-first experiences (voice recorder with effects, resilient network handling, JS payload reduction) while simultaneously building sales infrastructure (HubSpot, Stripe, Zapier integration, plus dedicated sales automation and AI-driven insights projects). Pain points cluster around post-growth scaling: deployment friction, project management breakdown, and process gaps—typical of a lean product org accelerating sales velocity.
Notable leadership hires: Head of Design
Padlet is an education software company based in San Francisco serving teachers and students with collaborative learning tools accessible on web and mobile platforms. The product supports multilingual use (40+ language support and active internationalization work) and handles sensitive student data (compliance projects suggest FERPA/COPPA considerations). With 51–200 employees and 14 open roles across sales, design, and engineering, the company is actively hiring to scale—particularly in design leadership and sales functions. The tech stack spans full-stack web (React, Rails, Vue), native mobile (Swift, Java, React Native), and modern backend infrastructure (Elixir, Phoenix, Postgres, Elasticsearch), indicating a mature platform built to handle mobile-first users with intermittent connectivity.
React Native, Swift, and Java for mobile; React, Vue, and Ruby on Rails for web; Elixir and Phoenix for backend; PostgreSQL, Redis, and Elasticsearch for data; Firestore and Snowflake for storage; HubSpot and Stripe for sales/payments.
Padlet is recruiting in the United States, Singapore, South Korea, Japan, and the United Kingdom. The company is based in San Francisco.
Padlet'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.