LaunchDarkly

Technology

FullStackEngineer

$155–215k ~AI est. Oakland, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Full Stack Engineer at LaunchDarkly. Skills: Full-stack engineering, AI-first features, Product-led growth. Drive features from problem framing. Design partnership”

What You'll Achieve.

Turn initial interest into adoption; Move PLG metrics; Customers with useful flag running day one; Move activation metrics; Move first flag metrics; Move first experiment metrics; Move first paid conversion metrics; Move funnel metrics

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting

Eligibility Requirements

On-call rotation

What They're Looking For.

Must Have

5+ years full-stack engineering experience, Shipped AI-first features, Used MCP servers, agent frameworks, or LLM tool-use, Comfortable with TypeScript and React, Able to hold own in Go or Node, Track record of moving PLG metrics, Hands-on experience with instrumentation, funnel analysis, and A/B testing, Comfortable defining hypothesis, wiring up flag, running test, reading result

Nice to Have

Experience with Kubernetes, Experience with container orchestration platforms

What You'll Do.

Drive features from problem framing

Full-stack implementation

Build agentic onboarding flows

Extend LaunchDarkly into developer tools

Instrument growth funnel

Analyze growth funnel

Ship MCP server capabilities

Turn qualitative signal into experiments

Give product team feedback

How You'll Work.

Team & Collaboration

Partner with product; Partner with design; Partner with data; Partner with engineering teams; Work alongside product; Work alongside design

Communication Scope

Crisp communication

Process & Methodology

Experiment design

Full Job Description

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 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. 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

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