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

Lead and develop the SDR team while improving pipeline strategies and performance metrics. Collaborate with marketing and sales for effective GTM initiatives.

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.

The Senior GTM Recruiter will drive the full-cycle recruiting process, focusing on sourcing, engaging, and closing top GTM talent while collaborating with hiring managers.

The Recruiting Coordinator will manage interview logistics, communicate with candidates, support recruiting initiatives, and improve internal processes, all while ensuring a smooth hiring experience.

The Deployed Engineer will work closely with customer teams to build, deploy, and operate AI agents in production, focusing on technical wins through co-architecting solutions and training.

Work closely with customer engineering teams to co-architect and build production AI agents, ensuring technical wins throughout pre-sales and post-deployment while guiding customers on architecture and best practices.

The Partner Alliances Lead will manage and grow LangChain's cloud partnerships with AWS and GCP, drive co-sell executions, and collaborate for marketplace strategies to generate revenue.

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.

The Deployed Engineer will co-architect and build production AI agents, work closely with customers on technical evaluations, and advise on deployment and post-sales architecture.

The role involves collaborating with companies on LLM applications, giving technical demos, leading trainings, and translating customer feedback into product improvements.

Work closely with clients to deploy LLM applications, collaborate on app development, present technical demos, and lead trainings while driving product improvements based on client feedback.

Collaborate with companies on LLM applications, conduct demos, lead workshops, and translate customer feedback into product improvements. This role requires a background in engineering and experience in customer-facing positions.

The People Partner will embed with teams to drive business outcomes, proactively address organizational challenges, and implement AI-driven people solutions.

The Solutions Architect will design, deploy, and optimize AI infrastructure, manage customer engagement, and develop agent applications, requiring significant technical expertise and customer-facing skills.

Design and deploy AI infrastructure, build agent systems, engage with customers, and ensure high availability and security for AI applications.

The Solutions Architect will design and optimize AI infrastructure, engage with enterprise customers, and ensure scalable deployments using various cloud platforms and agent engineering techniques.