Build agentic onboarding flows and MCP server capabilities that extend LaunchDarkly into developer tools. Drive PLG metrics through full-stack features, experimentation, and funnel analysis.
146k – 235k
Remote5+ YOEFullstack Engineering
About the role
Responsibilities
Drive features from problem framing through design partnership, full-stack implementation, instrumentation, rollout, and experimentation with clear line of sight to PLG metrics.
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.
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 PM, design, 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.
Support applications in production, including on-call.
Requirements
5+ years of full-stack engineering experience, with a portfolio of features driven from idea to production.
Shipped AI-first features in production using MCP servers, agent frameworks, or LLM tool-use.
Strong with TypeScript and React on the frontend. Able to hold your own in Go or Node on the backend.
Track record of moving product-led growth metrics. Hands-on experience with instrumentation, funnel analysis, and A/B testing.
Comfortable defining a hypothesis, wiring up a flag, running the test, reading the result, and changing your mind.
Good instincts for developer onboarding. Collaborative engineer who works well alongside product and design.
Genuine interest in where AI belongs in a developer platform.
Nice-to-Haves
Experience with agent frameworks and LLM-powered tooling in production environments.
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