Product Manager, LangSmith

About Us

At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.

We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.

More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.

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-$240,000

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.