Staff Engineer (Experience Engineering)

• 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 and use our services
• Our product suite enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences, and is integrated with a feature management and observability platform that processes trillions of evaluations daily
• This role sits at the forefront of our next generation of user interaction with our suite of products. We have a sophisticated set of users, and we have now learned through working with them and observing their usage patterns what a major redesign can do to help give them a more pleasant, productive, and efficient experience with our products
• You’ll work across our entire product suite, focusing on understanding the key use cases, building the experiences and the supporting technical platform, and providing guidance and tools for other teams to be able to build better experiences more quickly
• Build and design our next generation of 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. Robust telemetry and alerting

Benefits

• Full Vision
• Full Dental
• Full Medical
• Flexible Schedule
• Healthy Lunches & Snacks
• Conference & Meetup Access
• Education Stipend
• Personalized Work Station
• Close to Public Transportation
• Bike Parking
• Team Activities
• Unlimited paid time off policy
• Work from home opportunities
• Health insurance- Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You’ll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call
• Plus: Go, Python, or similar (we use Go for services, Python for stats)
• Plus: Familiarity with the competitive landscape (Statsig, Eppo, GrowthBook, Optimizely)
• Plus: Event-driven architectures and large-scale data processing for high-volume event ingestion and analysis
• Has built and designed the interfaces and supporting technology platforms in consumer-grade enterprise applications
• Plus: Funnel analysis, causal inference, or Bayesian experimentation experience
• Plus: Experiment lifecycle tooling: flag–experiment integration, metric frameworks, automated monitoring
• Plus: Cloud environments (AWS, GCP) and data stores (ClickHouse, Redis, DynamoDB, Kafka, etc.)
• BA/BS in mathematics, statistics, data science, or related field, or preferentially a graduate degree
• Technical leadership: setting direction, writing specs, influencing across teams
• 10+ years building large-scale products with sophisticated audiences that are looking for help and leverage to do complex work