Staff Engineer – Experimentation Team

As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. The role requires building the experimentation statistical engine, designing warehouse-native experimentation, and leading adaptive experimentation.

Requirements

• 10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services.
• Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction (CUPED), power analysis, experiment design.
• Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL-based allocation.
• Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar.
• Expertise in Go, Python, or similar for backend services and statistical computation.
• Experience with event-driven architectures, data pipelines, and large-scale data processing.
• Cloud environments (AWS, GCP) with infrastructure-as-code.
• Technical leadership: setting direction, breaking down complex problems, influencing across teams.
• Ability to translate statistical concepts for product and engineering audiences.

Benefits

• Restricted Stock Units (RSUs),
• health, vision, and dental insurance,
• mental health benefits