Manage the full enterprise sales cycle from lead to close, acting as a trusted advisor to help technical teams adopt LangChain's products. Collaborate with product and engineering teams to provide customer insights and help define the company's go-to-market sales playbook.
LangChain
29 Remote Job Openings at LangChain
Manage the full enterprise sales cycle from lead to close, acting as a trusted advisor to technical teams. Collaborate with product and engineering teams to refine the sales playbook and inform the product roadmap based on customer insights.
Own the end-to-end People Operations function, including HRIS integrity, global compliance, and benefits administration. Architect scalable operational systems and automations to support a high-growth AI company.
Design and operate high-throughput ingestion and trace-query systems for the LangSmith platform. Define API, SDK, and CLI standards while maintaining integrations across various AI frameworks.
Design and deploy production-grade AI infrastructure and multi-agent systems for enterprise customers. Lead technical assessments and partner with cross-functional teams to optimize AI agent performance and scalability.
Lead the US Federal partner ecosystem by building strategic relationships with major Federal Systems Integrators and boutique consultancies. Drive partner-sourced revenue and embed LangChain into federal AI program delivery and reference architectures.
Manage the full enterprise sales cycle from lead to close, acting as a trusted advisor to help technical teams adopt LangChain's products. Collaborate with product and engineering teams to provide customer insights and help define the company's go-to-market sales playbook.
Manage the full enterprise sales cycle from lead to close, acting as a trusted advisor to help technical teams adopt LangChain's products. Collaborate with product and engineering teams to provide customer insights and help define the company's go-to-market sales playbook.
Manage the full sales cycle from lead to close, acting as a trusted advisor to help enterprise customers adopt LangChain's AI products. Collaborate with product and engineering teams to provide customer insights and help define the company's go-to-market sales playbook.
Own and manage the full enterprise sales cycle from lead to close, acting as a trusted advisor to technical teams. Collaborate with product and engineering teams to drive GenAI adoption and refine the company's go-to-market playbook.
Drive adoption of LangChain's products by supporting the full sales cycle from initial outreach to closing. Build strategic relationships with SMB, mid-market, and small-enterprise accounts to help them implement AI agent solutions.
Collaborate with companies to move LLM-applications from prototype to production and provide technical demos and workshops. Act as a bridge between customers and engineering to translate feedback into product improvements.
Lead onboarding engagements for new enterprise customers and deliver interactive training workshops to facilitate product adoption. Develop scalable enablement frameworks and act as a technical advisor to synthesize user feedback for the product roadmap.
You will co-architect and build production AI agents with customer engineering teams while owning the technical win during pre-sales. Additionally, you will advise customers on architecture and best practices while contributing reusable patterns and code to the platform.
You will co-architect and build production-ready AI agents while partnering with customer engineering teams to ensure successful deployments. Additionally, you will provide post-sale advisory support, conduct technical workshops, and feed real-world insights back into the LangChain platform.
You will co-architect and build production AI agents with customer engineering teams while owning the technical win during pre-sales. Additionally, you will advise customers on architecture and best practices while contributing reusable patterns and code to the platform.
You will co-architect and build production AI agents with customer engineering teams while owning the technical win during pre-sales and POC design. Additionally, you will advise customers on architecture and best practices post-sale and contribute reusable patterns and code to the developer community.
Design, deploy, and optimize production-grade AI infrastructure and multi-agent systems for enterprise customers. Lead technical maturity assessments and provide architectural recommendations while collaborating with internal product and engineering teams.
You will own and manage the full federal sales cycle, from lead generation to closing complex deals with U.S. government agencies. You will also act as a trusted advisor to federal prospects, demonstrating the value of AI agent infrastructure while navigating procurement mechanisms.
The Engagement Manager will be responsible for managing the full lifecycle of multiple concurrent technical engagements for enterprise customers, from SOW review through closeout, ensuring successful project delivery. This includes serving as the primary customer contact, managing expectations, handling escalations, and coordinating cross-functional teams like Solution Architects and AI Engineers.
The role involves co-architecting and co-building production AI agents with customer engineering teams, owning the technical win through POC design, and advising customers post-sale on architecture and best practices. Responsibilities also include running technical demos, surfacing field feedback, and occasionally contributing upstream code.
The role involves co-architecting and co-building production AI agents directly with customer engineering teams, owning the technical win through designing POCs and guiding evaluations. Additionally, the engineer will advise customers post-sale on architecture and best practices while contributing reusable patterns and code upstream.
The Solutions Architect will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, focusing on architecting scalable, secure deployments and building reliable agent applications. This involves hands-on work across infrastructure/platform engineering, agent logic development, and direct customer engagement.
The Solutions Architect will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems, focusing on architecting scalable, secure deployments and building reliable agent applications. Responsibilities span infrastructure engineering, agent development using modern frameworks, and leading technical customer engagement and assessments.
The Account Executive will own and manage the entire sales cycle, acting as a trusted advisor to prospects and customers to demonstrate how LangChain's products solve real problems. This includes driving proof-of-concept efforts, negotiating terms, and collaborating with internal teams to inform the product roadmap.
The Account Executive will own and manage the entire sales cycle, acting as a trusted advisor to prospects and customers to demonstrate how LangChain's products solve real problems. This involves driving proof-of-concept efforts, negotiating terms, and collaborating with internal teams to shape GenAI adoption and product roadmap.
The Account Executive will own and manage the full sales cycle, acting as a trusted advisor to prospects and customers. They will collaborate with various teams to drive product adoption and support post-sale success.
The Solutions Architect will design scalable, secure infrastructure for AI platform deployments and develop multi-agent systems. This role involves customer engagement to assess technical maturity and provide recommendations.
Fullstack Software Engineering Manager, Observability & Evals Platform
LangChain
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Full Time
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8 months ago
LangChain
Lead the technical architecture and implementation of key product features for LangSmith. Collaborate with product and design teams to build new features while ensuring high engineering standards are met.