Staff Engineer – Experimentation Team

Launchdarkly

Remote
$214,800 - $295,350 (zone 1); $193,400 - $265,870 ...
**
Applied statistics and ml depth
Statistical validity and system architecture
Warehouse-agnostic features
** LaunchDarkly is seeking a Staff Engineer for their Experimentation Team to develop a platform that enables data-driven decision-making through A/B testing and feature optimization. The role requires extensive experience in applied statistics, machine learning, and backend system architecture, while offering a remote work environment. **

Job Summary

  • As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence.
  • You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions.
  • Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical.

Matching Summary

Match Score: 75

** LaunchDarkly is seeking a Staff Engineer for their Experimentation Team to develop a platform that enables data-driven decision-making through A/B testing and feature optimization. The role requires extensive experience in applied statistics, machine learning, and backend system architecture, while offering a remote work environment. **

Salary

$214,800 - $295,350 (Zone 1); $193,400 - $265,870 (Zone 2); $182,600 - $251,020 (Zone 3); RSUs, health, vision, dental, mental health benefits

Skills & Requirements

Must-have

  • applied statistics and ML depth
  • statistical validity and system architecture
  • warehouse-agnostic features
  • data-driven decisions platform
  • adaptive experimentation systems

Nice-to-have

  • scientific mindset
  • influence product and technical direction
  • lead by example
  • mentor teammates
  • operational excellence

Key Requirements

  • 10+ years building large-scale experimentation platforms
  • Applied-statistics knowledge
  • Experience with adaptive experimentation ML
  • Track record designing warehouse-agnostic systems
  • Expertise in Go, Python, or similar
  • Experience with event-driven architectures
  • Cloud environments (AWS, GCP)
  • Technical leadership experience

Work Rights

Not specified

Tailored Resume

Cover Letter