AI-Driven Full Stack Engineer — Onboarding & Growth

LaunchDarkly; United States; Remote; USD 145,500 - 200,090; Full time

Benefits offered by this job

Restricted Stock Units

Health, vision, and dental insurance

Mental health benefits

Job summary

LaunchDarkly is seeking a Full Stack Engineer for their Foundation team. This role will support developers in creating accounts and using their platform effectively. Responsibilities include enhancing the onboarding experience and collaborating closely with other teams.

The ideal candidate should have over 5 years of full-stack engineering experience, strong skills in TypeScript and React, and a solid background in product-led growth metrics. LaunchDarkly offers a transparent compensation structure based on geographic zones.

Qualifications

• 5+ years of full‑stack engineering experience with a strong portfolio.
• Experience shipping AI‑first features in production.
• Proficiency in TypeScript and React on the frontend, and Go or Node on the backend.
• Experience with user onboarding and product-led growth metrics.
• Collaborative work style with product teams.

Responsibilities

• Drive features from problem framing through design partnership and implementation.
• Build the next version of LaunchDarkly's onboarding for developers.
• Analyze and instrument the growth funnel for product performance.
• Ship MCP server capabilities and partner with PMs and design teams.

Skills

Full-stack engineering

TypeScript

React

Go

Node

Product-led growth metrics

A/B testing

Collaboration

Job description

LaunchDarkly is seeking a Full Stack Engineer for their Foundation team. This role will support developers in creating accounts and using their platform effectively. Responsibilities include enhancing the onboarding experience and collaborating closely with other teams.

The ideal candidate should have over 5 years of full-stack engineering experience, strong skills in TypeScript and React, and a solid background in product-led growth metrics. LaunchDarkly offers a transparent compensation structure based on geographic zones.