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$182,600 – $295,350
Listed on LaunchDarkly’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Staff Engineer role building LaunchDarkly's experimentation platform, responsible for designing statistical engines, warehouse-native analysis systems, and adaptive ML-driven experimentation features. Suited for backend engineers with deep applied statistics knowledge and experience building large-scale data systems.
Our summary, not LaunchDarkly’s wording. The full posting is on their site.
Skills this role names
- Amazon Redshift
- Amazon Web Services (AWS)
- Data Pipelines
- Databricks
- Go
- Google BigQuery
- Infrastructure as Code
- Python
- Snowflake
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What they ask for
Required
- 10+ years building experimentation platforms, statistical analysis systems, or data-intensive backend services
- Applied statistics knowledge including hypothesis testing, sequential analysis, variance reduction, and power analysis
- Experience with adaptive experimentation ML systems such as contextual bandits or Bayesian optimization
- Track record designing systems across multiple data warehouses like Snowflake, Databricks, Redshift, or BigQuery
- Backend programming expertise in Go, Python, or similar languages
- Experience with event-driven architectures and large-scale data processing
- Cloud infrastructure experience with AWS or GCP
- Technical leadership and cross-team influence
Nice to have
- Familiarity with frequentist vs. Bayesian statistical trade-offs
- Ability to translate statistical concepts for non-technical audiences