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The Senior Backend Engineer will enhance the security and scalability of the LangChain platform, working on enterprise readiness features such as authentication and billing systems while collaborating with various teams and enterprise clients.

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.

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.

Collaborate with customer engineering teams to co-architect and build AI agents, run demos, and advise on architecture and best practices post-sale.

Lead and scale LangChain's content practice: define strategy and roadmap, hire and mentor a content team, own flagship initiatives and blog performance, write and edit key content, expand SEO/AEO efforts, build editorial standards and workflows, collaborate cross-functionally, and measure/optimize content impact.

Lead a small systems team building SmithDB: write and review Rust production code, make architecture decisions for storage and query execution, drive performance profiling and fixes, deploy and harden distributed Kubernetes services, integrate cloud object stores, build observability, and manage hiring, mentorship, and the technical roadmap.

The Deployed Engineer collaborates with customer teams to co-architect and deploy production AI agents, guiding technical evaluations and sharing feedback to improve outcomes.

Collaborate with customer engineers to design and deploy AI agents in production. Provide technical guidance, conduct training, and ensure successful outcomes for customers.

Own and manage the sales cycle, acting as a trusted advisor to customers, driving proof-of-concept efforts, and building relationships to support post-sale success.

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.