Staff Engineer, Experience Engineering

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $182.6k - $251k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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LaunchDarkly

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $200M Series D on 2021-08

Consulting • Healthcare • Logistics

LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.

📋 Description

• Design and build the next generation of user experiences for human and agent users across the LaunchDarkly product suite • Understand key use cases and build supporting technical platforms • Provide guidance and tools enabling other teams to build better experiences more quickly • Collaborate with product teams on user experience platforms and tools • Mentor engineers and raise the team's bar for technical rigor and system design • Own operational excellence for the experience platform, including monitoring, observability, incident response, on-call, telemetry, and alerting • Set technical direction, write specifications, and influence across teams • Own systems end to end

🎯 Requirements

• 10+ years building large-scale products with sophisticated audiences looking for help and leverage to do complex work • Experience building and designing interfaces and supporting technology platforms in consumer-grade enterprise applications • Technical leadership experience: setting direction, writing specs, and influencing across teams • BA/BS in mathematics, statistics, data science, or related field, or preferentially a graduate degree • Plus: Go, Python, or similar • 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, including flag–experiment integration, metric frameworks, and automated monitoring • Plus: Familiarity with the competitive landscape (Statsig, Eppo, GrowthBook, Optimizely) • Plus: Funnel analysis, causal inference, or Bayesian experimentation experience

🏖️ Benefits

• Restricted Stock Units (RSUs) • Health insurance • Vision insurance • Dental insurance • Mental health benefits