# Staff Engineer, Experimentation

Hiring organization: [LaunchDarkly](https://career.thegoodapps.co/organizations/launchdarkly)

Canonical page: https://career.thegoodapps.co/jobs/6fc5a6ba-92c4-40ad-8c39-705a917e4b48

Listed on LaunchDarkly's own careers site. Applications go to them directly.

- Seniority: Staff
- Location: Remote - US
- Remote: yes
- Salary: 182600 – 295350 USD per year

## Summary

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._

## Skills named

Amazon Redshift, Amazon Web Services (AWS), Data Pipelines, Databricks, Go, Google BigQuery, Infrastructure as Code, Python, Snowflake

## 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

Apply on LaunchDarkly's site: https://job-boards.greenhouse.io/launchdarkly/jobs/7703477003