Product Manager, LangSmith
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible.
WHAT YOU'LL DO
This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases.
You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows.
- Own the roadmap for a core area of the LangSmith platform.
- Work with customers to understand their challenges and define new product features.
- Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly.
- Help shape product strategy alongside our founders and leadership team.
WHAT YOU'LL BRING
- 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms.
- Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues.
- Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront.
- Strong written and verbal communicator who can align cross-functional teams around a shared vision.
NICE TO HAVE
- Computer Science, Engineering, or equivalent technical background.
- Previous experience at a high-growth startup or developer-focused company.
- Hands-on experience building with LLMs, agents, or AI applications.
- Annual salary range: $180,000-$215,000