Software Engineering Manager, Observability & Evals Platform

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 an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.

What you will do

Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability

Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence

Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform

Partner with product and design teams to define scope, sequence, and success criteria for key initiatives

Maintain a high bar for technical excellence while making sure the team moves with urgency and focus

Lead by example in writing clean, maintainable, and well-tested code in Go / Python and Typescript

Engage directly with customers to understand their needs and translate them into actionable product improvements

How to be successful in this role

Experience managing or tech-leading teams delivering complex full-stack products

Strong technical background in Go / Python and React / Typescript

Solid understanding of databases (Postgres, Redis and ClickHouse)

Proven ability to design high throughput data-intensive systems

Bias towards shipping quickly and learning from customers

Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers

Bonus : Experience building AI / LLM-powered applications, developer tools, or observability platforms

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