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Build and maintain IT infrastructure, automate fleet and SaaS administration, design Mac fleet management and security controls, drive identity strategy (Okta), administer SaaS (LangSmith), support global employees, and improve IT automation and documentation.

Work with customers to co-design, build, deploy, and operate production AI agents. Lead technical pre-sales, design POCs, run demos and workshops, advise post-sale on architecture and best practices, contribute reusable patterns and occasional upstream code. Role requires frequent customer engagement and 40% travel.

Seek a Commercial Account Executive to manage sales cycles, build customer relationships, and support adoption of LangChain's AI solutions.

As a Deployed Engineer, you'll collaborate with companies on LLM applications, conduct demos and workshops, and translate feedback into product improvements.

Manage the full sales cycle, build relationships with enterprise customers, educate them on products, and drive GenAI adoption.

The Customer Engineer accelerates developer and enterprise success with LangChain by leading onboarding, delivering training, and defining strategies for customer enablement.

The Engineering Manager will lead the team building the LangSmith observability platform, mentoring engineers, defining technical directions, and collaborating with product teams to develop reliable AI systems.

Partner with customer engineering teams to co-architect, build, deploy, and operate production AI agents. Lead pre-sales technical wins, design POCs, run demos and trainings, advise post-sale on architecture and best practices, contribute reusable patterns and code, and travel to customers (~40%).

Partner with customers to co-architect, build, deploy, and operate production AI agents. Own technical pre-sales wins, run POCs and trainings, advise on architecture and best practices, produce reusable patterns and example code, and occasionally contribute upstream. Requires customer travel and production-operational focus.

Work with customer engineering teams to co-design, build, deploy, and operate production AI agent applications. Drive technical wins in pre-sales, run POCs, provide post-sale architecture and operational guidance, deliver trainings, contribute reusable patterns, and travel to customer sites up to 40%.