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Salary: USD 200,000 - 240,000 / 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'll 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.
In this role, you will:
- Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
- Strengthen LangChain's engineering culture through mentorship, high-quality code, and technical excellence
- Shape long-term technical direction and ensure scalability and reliability of the LangSmith AI Observability Platform
- Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
- Maintain a high bar for technical excellence while ensuring the team moves with urgency and focus
- Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript
- Engage directly with customers to understand their needs and translate them into actionable product improvements
About LangChain: Founded in 2023, LangChain has raised $125M at Series B from top-tier investors (IVP, Sequoia, Benchmark, CapitalG, Sapphire Ventures). The company's mission is to make intelligent agents ubiquitous by building the foundation for agent engineering. LangChain operates a widely adopted open-source ecosystem (LangChain, LangGraph, Deep Agents) and a commercial platform (LangSmith) with 100M+ monthly open-source downloads, 6,000+ active LangSmith customers, and adoption across 5 of the Fortune 10 and 35% of the Fortune 500.
The LangSmith team owns the core platform for observability, evaluation, and production reliability of AI systems, including tracing, annotation, run rules, evaluations, and autonomous agent improvement.
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.
