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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.

Lead end-to-end monetization programs and operationalize corporate revenue strategies. Design cross-functional systems and data pathways linking product usage, billing, and ERP. Audit and optimize commercial architecture to eliminate revenue leakage, establish governance, and align Product, Finance, Engineering, and GTM for profitable, scalable monetization.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

The Product Marketing Manager will lead go-to-market strategies for LangSmith products, focusing on messaging, sales enablement, and product launches in a fast-paced AI infrastructure environment.

As Financial Controller, lead accounting and financial reporting. Manage audits, close processes, accounts payable/receivable, and financial systems. Collaborate on budgeting and compliance.

As a Strategic Finance Associate, you will manage financial models, produce investor reports, partner with various departments, and drive cost optimization.

The Customer Marketing Manager will oversee customer storytelling, develop reference programs, manage customer involvement in events, and create assets that drive sales and shape marketing narratives.

Lead web strategy and execution at LangChain, optimizing for performance, conversion, and SEO while managing cross-functional collaborations.

Build and ship production-grade autonomous customer agents using LangChain/LangGraph to deflect support cases and automate onboarding. Own technical roadmap, design agentic architectures, dogfood the stack, and deliver end-to-end AI-native onboarding and self-service systems.

Implement AI powered workflows and applications, design novel AI architectures, and build evaluation pipelines for internal and customer-facing products.