6 дней назад
Staff Engineer, Experience Engineering
182 600 - 251 020$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer, Experience Engineering (large-scale product platforms): Building next-generation human and agent user experiences across the LaunchDarkly product suite with an accent on experience platforms, technical direction, and operational excellence. Focus on designing supporting platforms, enabling product teams, mentoring engineers, and building observability, telemetry, and incident-response systems for high-volume services.
Location: Remote - US
Salary: $182,600–$251,020 for Zone 3, $193,400–$265,870 for Zone 2, or $214,800–$295,350 for Zone 1, plus RSUs and benefits.
Company
provides a feature management and observability platform that helps engineering teams release software safely, target customer experiences, and experiment on product changes.
What you will do
- Design and build next-generation user experiences for human and agent users across the product suite.
- Develop the experience platform and supporting technology for consumer-grade enterprise applications.
- Provide product teams with tools and platform capabilities to build better experiences faster.
- Set technical direction, write specifications, influence decisions across teams, and mentor engineers.
- Own operational excellence, including monitoring, observability, telemetry, alerting, incident response, and on-call.
Requirements
- 10+ years of experience building large-scale products for sophisticated users performing complex work.
- Experience designing interfaces and supporting technology platforms for consumer-grade enterprise applications.
- Demonstrated technical leadership in setting direction, writing specifications, and influencing across teams.
- BA/BS in mathematics, statistics, data science, or a related field; a graduate degree is preferred.
- Ability to lead by example, maintain high technical rigor, and own systems end to end.
Nice to have
- Experience with Go, Python, event-driven architectures, and large-scale data processing.
- Experience with AWS, GCP, ClickHouse, Redis, DynamoDB, Kafka, or similar technologies.
- Experience with experiment lifecycle tooling, funnel analysis, causal inference, or Bayesian experimentation.
- Familiarity with Statsig, Eppo, GrowthBook, or Optimizely.
Culture & Benefits
- High-trust, transparent, humble, open, collaborative, respectful, and inclusive work environment.
- Restricted Stock Units.
- Health, vision, and dental insurance.
- Mental health benefits.
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