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Salary: USD 200,000 - 250,000 / annual
LangChain is hiring a Software Engineering Manager to lead the team building LangSmith, the company's observability and evaluation platform for LLM applications. You will define 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.
Key responsibilities include:
- Building, mentoring, and growing a high-performing team of engineers, fostering collaboration, ownership, and accountability
- Strengthening LangChain's engineering culture through mentorship, high-quality code, and technical excellence
- Shaping long-term technical direction and ensuring scalability and reliability of the LangSmith AI Observability Platform
- Partnering with product and design teams to define scope, sequence, and success criteria for key initiatives
- Maintaining a high bar for technical excellence while ensuring the team moves with urgency and focus
- Leading by example in writing clean, maintainable, and well-tested code in Go, Python, and TypeScript
- Engaging directly with customers to understand their needs and translate them into actionable product improvements
LangChain is a Series B company (raised $125M from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures) building the foundation for agent engineering. The platform includes LangSmith (observability, evaluation, deployment, fleet, and sandboxes), open-source frameworks (LangChain, LangGraph, Deep Agents), and LangSmith Engine for autonomous agent improvement. The company has 100M+ monthly open-source downloads, 6,000+ active LangSmith customers, and 35% of the Fortune 500 uses LangSmith in production.
Requirements:
- 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, 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
About LangChain
AI / Data / Infrastructure — developer platform and framework for building LLM applications and agents.
