Staff Engineer, Experimentation

Staff Engineer role on Experimentation team at LaunchDarkly building the platform for data-driven decisions. Involves designing statistical engine, warehouse-native analysis pipelines, adaptive experimentation including contextual bandits. Requires expertise in applied statistics, ML, system architecture, and technical leadership. Mentoring and cross-functional collaboration are key.

10+ years building large-scale experimentation platforms or data-intensive backends. Deep applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction (CUPED), power analysis. Experience with adaptive experimentation ML like contextual bandits, Bayesian optimization. Expertise in Go, Python. Warehouse-agnostic system design across Snowflake, Databricks, Redshift, BigQuery. Cloud environments (AWS, GCP) with IaC. Technical leadership and mentoring.