LaunchDarkly

LaunchDarkly

Staff Engineer – Experimentation Team

Remote - US · Staff+

Sponsorship not specified$215k-$295kDetected 6 days ago
PythonGoBackend DevelopmentBigQuerySnowflakeRedshiftDatabricksAWSGCPCloud PlatformsDevOpsMachine LearningData EngineeringData ScienceStatisticsA/B TestingIncident ResponseCadenceLeadershipCommunicationMentoring

About the role

  • We want someone who brings genuine depth in applied statistics and ML - as fluent in statistical validity as in system architecture.
  • Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical.
  • About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise.

Responsibilities

  • 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.
  • Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software.
  • Maximizing the business impact of every feature through the ability to experiment and optimize
  • We're building a team that is humble, open, collaborative, respectful and kind.

Requirements

  • 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.
  • Ability to translate statistical concepts for product and engineering audiences.
  • 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.
  • Cloud environments (AWS, GCP) with infrastructure-as-code.
  • Technical leadership: setting direction, breaking down complex problems, influencing across teams.
  • Target pay ranges based on Geographic Zones* for Level 5:
  • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350*
  • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**
  • Zone 3: All other US locations - $182,600 - $251,0202**
  • LaunchDarkly operates from a place of high trust and transparency

Compensation

  • Target pay ranges based on Geographic Zones* for Level 5:
  • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350*
  • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**
  • Zone 3: All other US locations - $182,600 - $251,0202**
  • LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs.
  • Exact compensation may vary based on skills, experience, and location.

Benefits

  • Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
  • We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Equal opportunity

  • We are an equal opportunity employer and value diversity at our company.
  • LD invites any applicant to review our written Affirmative Action Plan.
  • Do you need a disability accommodation?
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This listing is sourced directly from LaunchDarkly's careers page and normalized into a canonical job model.