National assessment and educational pathways platform serving millions of students
College Board operates a mission-driven digital platform delivering standardized assessments (AP and SAT) and educational guidance to millions of U.S. students annually. The tech stack reveals a data-intensive, infrastructure-heavy organization: React + TypeScript frontend, Node.js backend, AWS cloud native (EKS, ECS, Kinesis, Glue, SageMaker), with a mature data platform layer (Kafka, Spark, Redshift, Iceberg, DataHub). Active projects span assessment platform modernization, ML data pipelines, and a national work-based learning initiative—suggesting a shift from pure test administration toward broader student outcome and engagement tools. Pain points cluster around scoring consistency, exam integrity, and managing high-traffic production workloads at scale.
Notable leadership hires: Engineering Director, Assistant Director, Director, Curriculum & Assessment, Digital Operations Platform Lead, Director, Learning
College Board is a nonprofit educational organization headquartered in New York and founded in 1900. The organization administers the Advanced Placement Program, SAT, and related services, reaching millions of students preparing for college. In addition to assessment delivery, College Board operates educational guidance products (BigFuture) and partnerships (Official SAT Practice on Khan Academy). The organization employs 1,001–5,000 people across engineering, product, data, education, and operations, with active hiring concentrated in engineering and product roles. Infrastructure spans AWS across multiple regions, supporting high-traffic exam administration and a growing suite of digital learning and assessment tools.
React, TypeScript, Node.js, AWS (EKS, ECS, Kinesis, Glue, SageMaker), Kafka, Apache Spark, Redshift, Athena, and a modern data stack including Iceberg, DataHub, and MLflow for ML pipelines.
Projects include core assessment platform modernization, ML data pipelines and LLM dataops, a national work-based learning platform, infrastructure automation, and an AI engagement strategy.
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