
We're on a mission to make it easy to build the LLM apps of tomorrow, today. We build products that enable developers to go from an idea to working code in an afternoon and in the hands of users in days or weeks. We’re humbled to support 100k+ companies who choose to build with LangChain. And we built LangSmith to support all stages of the AI engineering lifecycle, to get applications into production faster.

We're on a mission to make it easy to build the LLM apps of tomorrow, today. We build products that enable developers to go from an idea to working code in an afternoon and in the hands of users in days or weeks. We’re humbled to support 100k+ companies who choose to build with LangChain. And we built LangSmith to support all stages of the AI engineering lifecycle, to get applications into production faster.
Core offering: Open-source LLM agent framework plus commercial platform for agent orchestration, observability, evaluation, and deployment
Founders / leadership: Co-founded by Harrison Chase (CEO) and Ankush Gola
Adoption metrics (site-stated): Claims: 90M monthly downloads, 100k+ GitHub stars, 1,000+ integrations; used by 100k+ companies
Recent funding: $125M Series B (2025) led by IVP; prior seed and Series A led by Benchmark and Sequoia
Employees (approx.): ~215
Agent engineering and productionization of LLM-powered applications
2022
Technology, Information and Internet
$10M
$25M
$125M
Reported valuation around $1.25B
“Participation from top-tier VCs (Benchmark, Sequoia, IVP) and corporate investors in later round (e.g., CapitalG, Sapphire Ventures, Workday Ventures, ServiceNow Ventures, Datadog, Databricks Ventures, Cisco Investments)”
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About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
You Will:
What we are looking for:
Nice to Haves:
Compensation :