LaunchDarkly
Feature Management
LaunchDarkly provides simple, scalable feature flag, toggle management (feature management) & experimentation for the modern enterprise. Eliminate risk, deliver value.
LaunchDarkly在招聘吗?
是的。截至2026年10月7日,LaunchDarkly在 Metaintro 上有57 个在招职位。 其中32 个发布于最近 30 天内。
在招职位
按最新排序。招聘信息注明薪酬时会显示。
- Staff Engineer (Multiple Positions)开发者远程 · $182.6K – $295.4K/yr—远程$182.6K – $295.4K/yr7天前
- Senior Backend Engineer (Multiple Positions)开发者远程 · $163K – $224.1K/yr—远程$163K – $224.1K/yr7天前
- Senior Full Stack Engineer开发者远程 · $163K – $263.7K/yr—远程$163K – $263.7K/yr7天前
- Backend Engineer (Multiple Positions)开发者远程 · $145.5K – $235.4K/yr—远程$145.5K – $235.4K/yr7天前
- Full Stack Engineer开发者远程 · $145.5K – $235.4K/yr—远程$145.5K – $235.4K/yr7天前
- Devops EngineerDevOpsFort MillFort Mill——7天前
- Solutions Engineer - West销售West Virginia · 远程 · $145.5K – $200.1K/yrWest Virginia远程$145.5K – $200.1K/yr8天前
- Senior Solutions Engineer - EMEA销售混合办公—混合办公—9天前
招聘模式
LaunchDarkly 新增职位的速度,以及职位的办公方式。
每月新增职位当月首次发布的职位
职位的办公方式占在招职位的比例
客户
LaunchDarkly 列出的全部 47 家客户。
正在招聘的客户17
- Booz Allen Hamilton2,244 个在招职位

- VVodafone1,526 个在招职位
- HP864 个在招职位
- General Motors746 个在招职位
- Relativity343 个在招职位

- Samsara242 个在招职位

- Block228 个在招职位

- Jack Henry202 个在招职位
- NNationwide181 个在招职位
- OOrb29 个在招职位
- Gamma28 个在招职位

- AlayaCare27 个在招职位

- GM27 个在招职位

- BBlue Cross of Idaho14 个在招职位
- AAlly13 个在招职位
- Stash5 个在招职位

- Relay Network1 个在招职位

客户案例23
- HHulu
- JJackpocket
- CCCP Games
- AAlly Financial
- FFi Money
- PPoka
- SSavage X Fenty
- HHireology
- WWorld Kinect
- SSaxo Bank
- VVestiaire Collective
- PParamount
- NNaviance
- IiPipeline
- IiCIMS
- CChristian Dior
- CColes
- CClimate LLC
- CCenters for Medicare & Medicaid Services (CMS)
- AAutodesk
- Admiral Insurance
- AAnimoto
- SSmugMug
客户怎么说
来自 LaunchDarkly 客户的评价。
“" LaunchDarkly gives our teams the ability to use their targeting to carefully test features in specific environments. QA, Devs, and Product Managers all have their own environments to test features without impacting one another. "”
“" LaunchDarkly has enabled self-serve experimentation at CCP. You don't have to be a data scientist to run valid, actionable experiments. This is unbelievably powerful. "”
“" We were big proponents of the whole idea of shifting left and progressive delivery. LaunchDarkly had a big voice in that space. "”
“" LaunchDarkly gave the business teams the confidence that experiments could be run reliably and the data could be trusted. "”
“" Looking at the data over the past four years from 2020 to 2023: a massive 97% reduction in overnight and weekend releases, while enjoying a 300% increase in production deployments. "”
再显示 25 条评价收起
“" Now that we can join our LaunchDarkly experiments to our Snowflake data, we can measure real user and business outcomes. We can take bigger risks in the kinds of AI features we build, and we can validate that they're worth it because we can see downstream impacts all the way through. "”
“" With [LaunchDarkly], pinpointing and resolving issues within our portals has never been more efficient. "”
“" The true value of LaunchDarkly is that our product teams can look at their events without getting blocked by analytics, prioritization, and bandwidth. "”
“" We were able to launch our generative AI feature without turning it into a massive engineering project. Product teams can experiment directly, so we're not spending hours deploying updates just to test prompt changes. "”
“" We've received some questions from customers and all we've had to do is adjust an ops flag. We can increase a limit very quickly. "”
“We were able to use five rules with five segments configured using custom attributes from our servers to target all the rules in the right places at the right time.”
“We were able to prevent multiple outages and reduce resolution time by 50% when a flag was used compared to a classic deployment of new code.”
“We saw a 97% reduction in overnight and weekend releases while enjoying a 300% increase in production deployments.”
“It’s clear that LaunchDarkly is by far the premier feature flagging solution. It has helped accelerate our digital transformation and understand how our features are performing in real-time.”
“With LaunchDarkly, we will be able to measure the performance between APIs and actually visualize the impact of our experiments.”
“LaunchDarkly is critical to how we target and display parts of the UI for our customers.”
“Before LaunchDarkly, targeting users with our in-house feature flag solution was cumbersome and would take hours. Now we can easily target users and deliver a change in seconds without any custom code.”
“The ability to conduct a migration with LaunchDarkly was integral in our digital transformation and modernization.”
“With approval workflows, our developers can continue working on features safely and give the control of a release to a product manager.”
“LaunchDarkly’s first-class integrations with Slack and Jira allow us to monitor release changes and have a single source of truth for our developers.”
“We had several teams using internal flagging solutions which made tracking flags changes and releases more complex. LaunchDarkly gives our teams a central dashboard and simple UI to manage their flags.”
“We needed a best-in-class solution that was both API and developer first. It was clear that LaunchDarkly is the industry standard for feature management.”
“We needed to modernize the way we delivered software to our customers, and the first step was accelerating our deployments safely.”
“In general, LaunchDarkly has allowed us to leverage back-end-driven experimentation across all of our client platforms (iOS, Android, Web, etc.). This has fueled valuable improvements across the platform. For example, we now tailor the Stash home screen to each individual user based on past engagement data. We’re providing more value to each person who engages with us, which, in turn, helps us win and retain customers.”
“LaunchDarkly has played a big part in helping us build a culture at Stash, where we experiment with everything. Not only that, it has enabled us to release new features way faster than before. The fact that we can manage software releases and support experimentation in the same platform is remarkable.”
“What maybe would have been a couple days of traditional development to change outputs and make sure that certain things happen takes literal seconds. The LLM can just reason about it, and it’s incredible how quickly we got it to generate what we really wanted.”
“Because we’re HIPAA-certified and have HITRUST certifications, using LaunchDarkly with AWS lets us offer AI capabilities safely. We can give healthcare and financial clients a generative AI experience with full guardrails for PII, which is something they couldn’t do with a public ChatGPT license.”
“I think what I’m most proud of is how quickly we brought everything together and got it in people’s hands, with all the monitoring and feedback in place so we could actually see what was happening. We built something simple but really holistic, where every change we make now, we know exactly how it’s going to impact us.”
“We launched our generative AI feature without turning it into a massive engineering project. Product teams can experiment directly, so we’re not spending hours deploying updates just to test prompt changes.”
“LaunchDarkly is one of the few products we have that both engineering and product have access to. We can set up a flag for our PMs, give them their own prompts to play with, and then incorporate those variations into the main prompt.”
AI 发布与合作伙伴
LaunchDarkly 在 AI 方面发布了什么,以及与谁合作。
- 发布AI agent behavior in productionLaunchDarkly’s platform controls AI agent behavior in production.
- 发布Control of AI code and agentsLaunchDarkly gives enterprises and startups tools to maintain real-time control of AI code and agents.
- 发布AgentControlLaunchDarkly controls and governs AI agents in production, keeping agent behavior under control.
- 发布Accelerate AI/ML innovationLaunchDarkly lets users ship and iterate on AI/ML models and adopt new models at runtime without redeploying.
所需技能
在招职位中出现最多的技能。
最常要求的技能
- Go
- Observability
- AWS
- DevOps
- Distributed systems
- Incident response
- NetSuite
- Python
- Terraform
- TypeScript
- Rust
- Excel
技术栈
- 安全
- Cookiebot
- 托管
- Netlify
- 分析
- Google Tag Manager
- Google Analytics 4
- 框架
- Next.js
- CMS
- Prismic
公司信息
- 总部
- Oakland, US
- 成立时间
- 2014
- 行业
- Feature Management
- 行业(NAICS)
- 信息业
按地点划分的职位
LaunchDarkly 的招聘地点。选择城市以查看该地的职位。
关于 LaunchDarkly 的问题
- LaunchDarkly在招聘吗?
- 是的。截至2026年10月7日,LaunchDarkly在 Metaintro 上有57 个在招职位。 其中32 个发布于最近 30 天内。 职位最多的团队是 Sales(18)、Developer(12)和Finance(6)。
- LaunchDarkly 在哪些地方招聘?
- LaunchDarkly 正在 United States、India、West Virginia, United States、London、Geneseo和Ireland 招聘,其中 United States 的在招职位最多。
- LaunchDarkly 提供远程或混合办公吗?
- 在招职位中,9% 为混合办公,22% 为远程。
- LaunchDarkly 的客户有哪些?
- LaunchDarkly 列出了 47 家客户,包括 Booz Allen Hamilton、Vodafone、HP、General Motors和Relativity。
- LaunchDarkly 看重哪些技能?
- 其在招职位最常要求 Go、Observability、AWS、DevOps和Distributed systems。