Staff Engineer – Experimentation Team

LaunchDarkly

Staff Engineer on LaunchDarkly's Experimentation team building platforms for data-driven decisions. Design statistical engine, lead adaptive experimentation, and mentor teammates in a remote US role.

Posted 4/17/2026full-timeRemote • 🇺🇸 United StatesLead💰 $182,600 - $295,350 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudGoGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction (CUPED, Winsorization), power analysis. Ensure statistical correctness across all experiment types.
Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support.
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. Shape what we build, not just how.
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. Robust telemetry and alerting.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Restricted Stock Units (RSUs)
Health, vision, and dental insurance
Mental health benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

hypothesis testingsequential analysisvariance reductionpower analysisBayesian optimizationcontextual banditsGoPythonevent-driven architecturesdata pipelines

Soft Skills

technical leadershipmentoringcollaborationinfluencingproblem-solvingcommunication