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Build full‑stack growth and monetization features across React, TypeScript, Go/Python backends. Implement experimentation systems, onboarding improvements, usage metering, subscription and billing integrations, and growth levers. Partner with product, design, GTM, and analytics to run data‑driven experiments that accelerate adoption, activation, and revenue.

The Education Marketing Lead will drive enrollment for LangChain Academy, develop certification programs, optimize learner engagement, and manage partnerships to expand reach. Responsibilities also include overseeing marketing strategies and learner lifecycle management while analyzing enrollment metrics to inform growth decisions.

The Principal Software Engineer will lead architectural decisions, mentor engineers, optimize system performance and reliability, and drive technical direction for LangChain's observability and evaluations platform.

The Education Marketing Lead will design and execute strategies to drive enrollment in LangChain Academy, enhance learner engagement, create certification programs, and optimize marketing efforts through SEO and partnerships.

Build and operate the LangSmith Deployments runtime for long-running AI agents: design distributed queue/worker systems, own state persistence and job claiming, implement resumable streaming, instrument production systems, participate in on-call and incident response, produce system documentation, and contribute to open-source LangGraph.

Qualify inbound and outbound prospects via phone, email, and LinkedIn; use LangChain/agent tooling to automate list building and outreach; hand off qualified opportunities to AEs; capture buyer insights and experiment with messaging and channels to improve conversion.

The role involves designing and optimizing a storage layer for AI observability, coding in Rust, and ensuring efficient database performance.

Qualify inbound and outbound prospects via phone, email, and LinkedIn, hand off opportunities to Account Executives, capture prospect insights to inform sales and product, and experiment with channels and LangChain-powered agents to improve outreach and conversion.

Own the full enterprise sales cycle for LangChain products, build trusted customer relationships, drive proofs-of-concept, negotiate deals and contracts, collaborate with engineering/product/customer success, and feed customer insights into product roadmap to accelerate GenAI adoption.

The Solutions Architect will design and optimize AI infrastructure and agent systems, ensuring high availability and performance for enterprise customers. Responsibilities include infrastructure engineering, agent application development, and customer engagement.