AI-powered LMS for elementary schools with portfolios, assessments, and family messaging
Seesaw operates an LMS and digital portfolio platform for elementary education, reaching 25 million users globally. The tech stack—AWS ECS, Lambda, EKS, DynamoDB, Elasticsearch, Redis—reflects a containerized, event-driven architecture at scale. Active infrastructure-as-code migration (Terraform, CloudFormation, AWS CDK adoption) and automated security scanning indicate maturation of deployment pipelines. However, the project and pain-point lists expose a critical operational gap: despite platform maturity, teacher adoption remains the dominant friction point across six separate initiatives, suggesting go-to-market or product-market fit challenges in the core segment.
Seesaw is a learning management system and digital portfolio platform designed for elementary school teachers, students, and families. The product integrates instruction tools (interactive lessons, assessments, feedback), family engagement (two-way messaging, student portfolios), and administrative workflows in one interface. Serving 25 million educators, students, and families worldwide, the company operates from San Francisco with 201–500 employees. Current hiring velocity is accelerating, with active recruitment across engineering, education, marketing, sales, support, and security roles, with concentrated mid-level hiring.
Seesaw uses AWS (ECS, Lambda, EKS, DynamoDB, KMS), Elasticsearch, Redis, Terraform, GitLab CI/CD, Datadog monitoring, Salesforce CRM, Zendesk support, and Slack for internal communication.
Seesaw Learning is headquartered in San Francisco, California. Current hiring spans the United States, Philippines, Jordan, and Saudi Arabia.
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Seesaw Learning'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.