> Markdown version of [/jobs/ext/624427-senior-fullstack-engineer-growth-monetization](https://www.wearedevelopers.com/jobs/ext/624427-senior-fullstack-engineer-growth-monetization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Fullstack Engineer, Growth & Monetization - **Company:** Langchain Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $175,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Python (Programming Language), PostgreSQL, Redis, Software Engineering, TypeScript, ReactJS, Large Language Models, Generative AI, Backend, Data Analytics, Restful APIs, Golang - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dce1b0525ff585ab ## About the Role Do you have experience in Task prioritization?, * 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 * Bonus: Experience building for developers or product-led growth platforms * Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks ## Description The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain's products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform., LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0 1 role on a newly formed team responsible for building growth systems from the ground up. You'll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston. What you'll do * Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention * Build flexible experimentation systems and processes capable of targeting diverse growth metrics * Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization * Design and ship new onboarding features and improvements that accelerate time to value * Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs * Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Langchain4J - An Introduction for Impatient Developers](https://www.wearedevelopers.com/videos/1001-langchain4j-an-introduction-for-impatient-developers) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 159: AI Pipelines, 10x Faster TypeScript, How to Interview](https://www.wearedevelopers.com/magazine/563-dev-digest-159-ai-pipelines-10x-faster-typescript-how-to-interview) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)