Senior Fullstack Engineer, Growth & Monetization

LangChain LangChain · Data AI · San Francisco, CA · Engineering

LangChain is seeking a Senior Fullstack Engineer for their Growth & Monetization team. This role will focus on building foundational product features and integrations to drive user acquisition, experimentation, and self-serve expansion. The engineer will work across the full stack (React, TypeScript, Python, Go) to improve onboarding, activation, and usage, while also building systems for billing, pricing, and monetization. The position is a high-impact, 0->1 role on a new team, requiring close collaboration with product, design, GTM, and analytics to identify and execute growth opportunities. Experience with monetization, pricing, or activation features, as well as familiarity with usage metering and subscriptions, is desired. Bonus points for experience with developer platforms, product-led growth, LLMs, GenAI, or agentic frameworks.

What you'd actually do

  1. Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention
  2. Build flexible experimentation systems and processes capable of targeting diverse growth metrics
  3. Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization
  4. Design and ship new onboarding features and improvements that accelerate time to value
  5. Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs

Skills

Required

  • Extensive fullstack software development experience using React, TypeScript, and Go and/or Python
  • Strong product intuition and a track record of working on monetization, pricing, or activation features
  • Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments
  • Comfortable working with REST APIs, Postgres, Redis, and modern backend infra
  • Startup DNA with the ability to thrive in fast-paced, zero-to-one environments
  • Self-directed with an ownership mindset

Nice to have

  • Experience building for developers or product-led growth platforms
  • Familiarity with LLMs, GenAI applications, or agentic frameworks

What the JD emphasized

  • 0→1 role
  • 0→1 environments