Staff Engineer, Experience Engineering
LaunchDarkly · Remote - US
About this role
**About the Job** As a **Staff Engineer** on LaunchDarkly’s product engineering team, you’ll design and build the next generation platform that helps all LaunchDarkly users (human and agent) interact with and use our services. You’ll work across the product suite—understanding key use cases, building the experiences and supporting technical platform, and enabling other teams to build better experiences faster. This role requires deep technical experience, a scientific mindset, and the ability to influence product and technical direction. You’ll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end (including on-call). **Responsibilities** - Build and design next generation user experiences (human and agent) across the LaunchDarkly suite. - Collaborate with other product teams to ensure they have the tools and platform to build great user experiences. - Mentor engineers and raise the team’s bar for technical rigor and system design. - Own operational excellence for the experience platform: monitoring, observability, incident response, on-call, with robust telemetry and alerting. **Qualifications** - 10+ years building large-scale products with sophisticated audiences. - Experience building and designing interfaces and supporting technology platforms in consumer-grade enterprise applications. - Technical leadership: setting direction, writing specs, influencing across teams. - BA/BS in mathematics, statistics, data science, or related field (or preferably a graduate degree). - Plus: Go, Python, or similar (Go for services; Python for stats). - Plus: Event-driven architectures and large-scale data processing for high-volume event ingestion and analysis. - Plus: Cloud environments (AWS, GCP) and data stores (ClickHouse, Redis, DynamoDB, Kafka, etc.). - Plus: Experiment lifecycle tooling (flag-experiment integration, metric frameworks, automated monitoring). - Plus: Familiarity with the competitive landscape (Statsig, Eppo, GrowthBook, Optimizely). - Plus: Funnel analysis, causal inference, or Bayesian experimentation experience. **Pay** Target pay ranges for **Level 5** (by Geographic Zone): - **Zone 1** (San Francisco/Bay Area or NYC Metro, 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 – $251,020** LaunchDarkly also provides **RSUs, health/vision/dental insurance, and mental health benefits** in addition to salary. Exact compensation may vary by skills, experience, and location. **About LaunchDarkly** LaunchDarkly helps developers innovate faster while protecting releases with a safety valve to instantly rewind when things go wrong. The platform supports targeted experiences, experimentation and optimization, and consistent rollout across platforms. LaunchDarkly is an equal opportunity employer and values diversity. If you need a disability accommodation, you can request one via their accommodations request form. **Safety Note (Scams)** LaunchDarkly recruiters will only contact you from **@launchdarkly.com** email addresses or via LinkedIn from **“Verified Recruiter”** accounts. Legitimate recruiters will never ask for money, fees, or banking information before an offer, and the company will not make an offer without a formal interview process.
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