Staff Engineer - Experimentation Team
L
LaunchDarklyTechnology
Remote - USFull-TimeStaff
Salary182600 - 295350 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- AWSPythonGCPSnowflakeGoBigQueryRedshiftDatabricks
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; comfortable with frequentist vs. Bayesian trade-offs.
- 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.
Responsibilities
- Build the experimentation statistical engine – hypothesis testing, sequential analysis, variance reduction (CUPED, Winsorization), power analysis, ensuring statistical correctness.
- Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery), building modular, warehouse-agnostic abstractions.
- Lead adaptive experimentation – contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests.
- Drive the platform roadmap with product, design, and data science.
- Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams.
- Mentor engineers and raise the team's bar for statistical rigor and system design.
- Own operational excellence – monitoring, observability, incident response, on-call.
View Full Description & ApplyYou'll be redirected to the employer's site
