Kiddom sells a teacher-facing K-12 instructional system to school districts, built on Python, Go and TypeScript running on AWS ECS, EKS and Lambda with Terraform-managed infrastructure. A stack of Pinecone, Weaviate and pgvector plus PyTorch, LoRA and RLHF shows a serious push into LLM-driven curriculum authoring and tutoring. Hiring is decelerating and senior-weighted, led by sales roles focused on California district adoption.
Kiddom, founded in 2015 and headquartered in San Francisco, builds an instructional system for K-12 school districts. Its platform combines core instructional materials, assessment, student data and intervention tools into one experience designed around teachers. The company sells to districts, with go-to-market efforts centered on adoption of its core curriculum offerings. Kiddom is privately held, employs 201–500 people and hires in the United States.
Kiddom uses Python, Go, TypeScript, React and Next.js on AWS (ECS, EKS, Lambda) with Terraform and Terragrunt, plus Pinecone, Weaviate, pgvector, PyTorch and TensorFlow for AI work, and Salesforce with Salesloft for sales.
Kiddom is building an AI-assisted curriculum authoring data layer, content ingestion and vector database pipelines, AI recommendations, tutoring assistants, predictive insights and Spanish ELA lesson content.
Kiddom is headquartered in San Francisco, California, was founded in 2015, has 201–500 employees and currently hires in the United States.
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Kiddom'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 →
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