LaunchDarkly
Computer Software / SaaS
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LaunchDarkly is hiring a Full Stack Engineer for the Foundation team. Foundation owns the first mile of the developer journey - the moment a developer finds LaunchDarkly, creates an account, ships their first flag, and starts to see real value. We are responsible for turning initial interest into long-term adoption, and for the PLG metrics that track how well we do it: time to value, activation, developer-to-paid conversion, and the path from a free trial to a paying customer.
We are building the next version of this experience around agents. An onboarding agent meets a developer where they already work, reads the repo in front of them, and wires LaunchDarkly into their code in a few minutes. That shape of product requires engineers who already live in this space. We want someone who has shipped features on top of MCP servers, who is comfortable designing around model capabilities, and who has a real point of view on where AI meaningfully changes a product and where it just adds surface area.
In this role, you will partner closely with product, design, data, and other engineering teams to take initiatives from idea to shipped experiment. You will build agentic onboarding flows, extend LaunchDarkly into the tools developers already use, and move the PLG metrics that matter. You will have real latitude on stack, approach, and experiment design, and the bar is that the funnel moves.
Foundation ships often, iterates in small increments, and dogfoods LaunchDarkly's own flags and experimentation on everything it builds. If you want to reshape how developers adopt a platform, and you want to do it with agents rather than forms, this is the role.
Drive features from problem framing through design partnership, full-stack implementation, instrumentation, rollout, and experimentation. Each initiative should have a clear line of sight to a PLG metric.
Build the next version of LaunchDarkly's onboarding, including agentic flows that work inside a developer's IDE and plug into MCP servers and LLM-powered tooling. The goal is customers with a useful flag running in production on day one.
Instrument and analyze the growth funnel: signup, activation, first flag, first experiment, first paid conversion. Run experiments that move each step.
Ship MCP server capabilities and agent skills that extend LaunchDarkly into the tools customers already use.
Partner closely with our PM (Natalie Friedman), design team, and data analyst to turn qualitative signal from self-serve customers into shippable experiments.
Dogfood LaunchDarkly. Use flags, guarded rollouts, and experimentation on your own work. Give the product team real feedback on the developer experience.
As part of our you-build-it-you-run-it culture, all developers may be responsible for supporting applications in production, including on-call.
5+ years of full-stack engineering experience, with a portfolio of features you personally drove from idea to production.
Shipped AI-first features in production. You have used MCP servers, agent frameworks, or LLM tool-use in real products, not just demos, and you have a point of view on what works and what does not.
Comfort across the stack. Strong with TypeScript and React on the frontend. Able to hold your own in Go or Node on the backend. Our stack is TypeScript and Go.
Track record of moving product-led growth metrics. Hands-on experience with instrumentation, funnel analysis, and A/B testing. You think in leading and lagging indicators.
An experimentation habit. You are comfortable defining a hypothesis, wiring up a flag, running the test, reading the result honestly, and changing your mind.
Good instincts for what makes developer onboarding actually work. You have an opinion about when friction is a bug and when it is a feature.
A collaborative engineer who works well alongside product and design, communicates crisply, and enjoys the parts of the job that are not code.
Genuine interest in where AI belongs in a developer platform. You have thought about where agents help in your own workflow, and you want to bring that thinking into a product that a lot of developers will touch.
Pay:
Target pay ranges based on Geographic Zones* for Level 3:
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.
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com.
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