About LangChain:
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
We’re looking for a Product Manager to lead our Growth Engineering initiatives - helping more new users activate, convert, and stay retained.
You’ll own the end-to-end activation funnel, working closely with engineering, design, and data to identify friction points, run experiments, and build scalable improvements. The ideal candidate has a strong analytical mindset, enjoys solving ambiguous growth problems, and can move quickly from insight to shipped impact.
What you will do:
Own the activation funnel from signup to retained usage, identifying key drop-off points and opportunities for growth.
Design and execute A/B experiments that improve onboarding, reduce churn, and increase conversion.
Partner with engineering to prioritize and ship high-impact experiments efficiently.
Collaborate with design to improve clarity, navigation, and overall user experience in early journeys.
Work with data to build dashboards and measure both leading and lagging indicators of growth.
Help align growth initiatives with broader company goals, including ARR and long-term retention.
Build a repeatable experimentation framework that can scale across teams.
Who You Are:
4+ years of product management experience, ideally in growth, activation, or SaaS roles.
Comfortable working in data-informed and experiment-driven environments.
Experienced collaborating with engineers on iterative experiments and technical product areas.
Analytical thinker with a strong sense of ownership and curiosity about user behavior.
Able to balance quantitative metrics with qualitative insights to guide decisions.
Skilled at communicating priorities and results across cross-functional teams.
Experience with tools such as Lookr, Eppo etc.
What Success Looks Like:
A measurable increase in activation rate and onboarding engagement.
A clear understanding of user archetypes and targeted experiences for each.
Faster iteration cycles and a well-defined framework for testing and learning.
Demonstrated improvement in conversion, retention, and long-term customer value.
