Product Manager, LangSmith

About Us

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together.

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.

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

• 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.