Digital reading platform with AI-powered content for K–12 classrooms
Newsela operates a content and assessment platform for K–12 teachers, with nearly two million educators signed up across all 50 states and over 150 countries. The tech stack reveals a mature, data-driven organization: React/TypeScript frontend, Python + dbt + Dagster backend, Postgres/MySQL databases, and AWS/GCP infrastructure—backed by a hiring surge of 42 roles in 30 days, weighted heavily toward senior engineers (30 of 52 open roles). Active projects around data warehouse expansion, large-scale migrations, and infrastructure automation indicate the company is moving from content delivery into analytics and personalization at scale.
Newsela is a K–12 EdTech company founded in 2013 that distributes instructional content and assessments to classrooms. The platform helps teachers deliver reading instruction and measures student progress through formative assessments and attendance tracking. The organization operates across seven countries (US, Costa Rica, Argentina, Mexico, Brazil, Colombia, Chile), with 201–500 employees based in New York. Current operational focus spans building composable data pipelines, configuring technology-enhanced assessment items, and scaling the sales organization alongside infrastructure that supports thousands of concurrent classroom users.
Frontend: React, React Native, TypeScript, iOS. Backend: Python, dbt, Dagster, Apache Airflow. Infrastructure: AWS, GCP, Terraform. Data: PostgreSQL, MySQL. Sales/ops: Salesforce, Salesloft, Gong, NetSuite, Marketo, Gainsight.
Active projects include data warehouse expansion, infrastructure automation with Terraform, large-scale data migrations, composable data models, attendance analytics, assessment formative platforms, and family communication tools for classrooms.
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Newsela'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.