Jobs · Marketing · Massachusetts

Product Manager, LangSmith

LangChain · Cambridge, MA · 1 wk ago
On-siteMarketing$180k–$215k/yrFull-time

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

  • 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.
  • 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.
  • 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.

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