AI-powered technical recruiting with live pair-programming assessments
JetBridge AI operates a technical staffing firm that screens engineers through live pair-programming interviews run by tech leads—a differentiation from traditional recruiting. The tech stack (Python, SQL, BigQuery, Kafka, dbt, Spark, scikit-learn, XGBoost) and active projects around data pipelines, predictive modeling, and anomaly detection suggest the core product is shifting toward an internal data and ML platform that powers hiring decisions, rather than pure recruiting services. Senior/staff hiring concentration in data and engineering indicates product-engineering work, not recruiting-ops growth.
JetBridge AI is a technical recruiting and staffing firm founded in 2016, based in San Francisco. The company differentiates on its Pair Programming Interview (PPI) process, where tech leads—not recruiters—conduct live two-hour technical assessments for software engineers. The firm operates across AI/ML, data, and general software engineering roles, placing engineers at Fortune 500 and mid-market software companies. Active projects center on scaling data platform infrastructure, building predictive models on program data, and deploying anomaly detection for risk and inefficiency surfacing, indicating the company is developing internal data systems alongside its staffing operations. Teams are distributed across the United States, Poland, and Brazil.
JetBridge runs a Pair Programming Interview (PPI)—a live two-hour technical assessment conducted by tech leads, not recruiters. The process is designed to evaluate engineering talent across AI/ML, data, and software development domains.
Primary stack: Python, SQL, BigQuery, Apache Airflow, dbt, Kafka, Apache Spark, GCP, AWS, TypeScript, React, scikit-learn, XGBoost, Kubernetes, Docker, Datadog, and Prometheus. Focus areas include data pipelines, ML modeling, and observability.
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