Skip to content
NEXTMOVEFDE careers · United States

Full Stack Engineer, Foundation

AI summary of the role

Full Stack Engineer on the Foundation team, owning the first mile of the developer journey—from signup to first flag to paid conversion.

What you’ll do

  • Drive features from problem framing through design partnership, full-stack implementation, instrumentation, rollout, and experimentation with clear PLG metric impact.
  • Build agentic onboarding 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 to move each step.
  • Ship MCP server capabilities and agent skills that extend LaunchDarkly into tools customers already use.

What you’ll bring

  • 5+ years of full-stack engineering experience with 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 frontend; able to hold your own in Go or Node on backend.
  • Track record of moving product-led growth metrics with hands-on instrumentation, funnel analysis, and A/B testing.

Technologies

TypeScript · React · Go · Node · MCP servers · LLM · agent frameworks · A/B testing · feature flags · PLG

About LaunchDarkly

AI-native feature flags, experimentation, and observability platform helping engineering teams ship faster with control.

Private Late · 500–1000 people

Source and classification

Production engineering · Evidence for this classification:

About the Job: 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
How jobs are selected

Employer postings · Data from · Sources