Jobs / United States / Launchdarkly Ltd

Launchdarkly Ltd

Staff Engineer, Experience Engineering

Remote - US · Remote · US only Posted 2 months ago $214,800 - $295,350

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Skills this job asks for

LeadershipStatisticsPythonAWSGoogle CloudRedisKafkaA/B testingMental health

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Where you can work from

United States only

The listing says: *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.

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Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer does not appear with approvals in the government data SponsorApply holds.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

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About the 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 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. 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. Responsibilities: • 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. Qualifications: • 10+ years building large-scale products with sophisticated audiences that are looking for help and leverage to do complex work. • Has built and designed the 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 preferentially a graduate degree. • Plus: Go, Python, or similar (we use 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 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 - $251,020** 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. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cyc

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