Full Stack Engineer, Foundation

LaunchDarkly•Oakland, CA

7h•$145,500 - $235,400

About The Position

LaunchDarkly is hiring a Full Stack Engineer for the Foundation team. The Foundation team is responsible for the initial developer experience, from discovery and account creation to shipping their first flag and realizing value. Their goal is to convert initial interest into long-term adoption and improve key Product-Led Growth (PLG) metrics such as time to value, activation, and conversion from free trial to paid customer. The team is currently developing a new onboarding experience centered around "agents" that will integrate into a developer's existing workflow, read their repository, and quickly set up LaunchDarkly. This role requires engineers experienced in shipping features on top of MCP servers, comfortable with designing around model capabilities, and knowledgeable about the impactful applications of AI in product development. In this role, you will collaborate with product, design, data, and other engineering teams to bring initiatives from concept to shipped experiments. You will focus on building agentic onboarding flows, integrating LaunchDarkly into developer tools, and driving PLG metrics. You will have significant autonomy in choosing the technology stack, approach, and experiment design, with the primary objective of improving the user funnel. The Foundation team emphasizes frequent, small-increment releases and utilizes LaunchDarkly's own flags and experimentation for all its work. This is an opportunity to reshape developer platform adoption using agents instead of traditional forms.

Requirements

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.

Responsibilities

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.