Staff Engineer – Experimentation Team

ABOUT THE ROLE We are seeking a highly skilled Staff Engineer to join our Experimentation team at LaunchDarkly. As a key member of our team, you will be responsible for building the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences, integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering, requiring a deep understanding of applied statistics and machine learning. You will design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems that power our customers' most important decisions. We are looking for someone who is fluent in statistical validity and system architecture, with a strong track record of designing large-scale experimentation platforms and statistical analysis systems. WHAT YOU'LL DO As a Staff Engineer on our Experimentation team, you will be responsible for: Building the experimentation statistical engine, including hypothesis testing, sequential analysis, variance reduction, and power analysis, ensuring statistical correctness across all experiment types. Designing warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery), building modular, warehouse-agnostic abstractions for rapid new backend support. Leading adaptive experimentation, including contextual bandit systems, Bayesian optimization, and automated allocation beyond simple A/B tests. Driving the platform roadmap with product, design, and data science teams, shaping what we build and not just how. Collaborating cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. Mentoring engineers and raising the team's bar for statistical rigor and system design. Owning operational excellence, including monitoring, observability, incident response, on-call, and robust telemetry and alerting. WHAT YOU'LL NEED To be successful in this role, you will need: At least 10 years of experience building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services. Applied-statistics knowledge, including hypothesis testing, sequential analysis, variance reduction, power analysis, and experiment design, with comfort working with frequentist vs. Bayesian trade-offs. Experience with adaptive experimentation ML, including contextual bandits, Thompson sampling, Bayesian optimization, or RL-based allocation. A track record of 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 skills, including setting direction, breaking down complex problems, and influencing across teams. WHY REMOTE As a remote team, we value flexibility and autonomy. We believe that this role will be a great fit for someone who is self-motivated, disciplined, and able to work effectively in a remote environment. BENEFITS LaunchDarkly offers a competitive salary and benefits package, including health insurance, retirement savings, and paid time off.