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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.

Build and own LangChain’s React component library and design system. Develop accessible, reusable UI components; translate design tokens and interaction patterns into code; create tooling for theming, versioning, testing, visual regression, and component discovery; and optimize build performance, bundling, dependency management, and package versioning. Collaborate closely with designers, product engineers, and platform teams to maintain a consistent, high-quality frontend foundation.

Work directly with customers to co-architect, build, deploy, and operate production AI agents. Lead pre-sales technical evaluations and POCs, run demos and workshops, advise on architecture and best practices, contribute reusable patterns and occasional code, and travel to customer sites to support deployments.

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.

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

Own Salesforce-centered GTM systems programs from discovery through UAT, deployment, change management, and adoption. Translate ambiguous revenue-team needs into specifications, process flows, data models, acceptance criteria, and prioritization decisions. Manage sales process redesign, vendor evaluations, revenue-data integrity, and reconciliation across Salesforce, billing, and cloud marketplaces. Partner across Sales, Marketing, Partnerships, Support, Finance, engineers, and AI coding agents while maintaining quality and release-risk controls.

Drive adoption of LangChain products by supporting the full sales cycle from outreach through close. Build relationships with technical prospects and customers, understand their needs, prospect strategically across SMB, mid-market, and small-enterprise accounts, and source, qualify, and close outbound deals. The role requires urgency, curiosity about GenAI technology, strong follow-through, resourcefulness, and collaboration with sales, engineering, and customer success teams.

Own onboarding for new LangSmith customers, guiding them from kickoff through admin setup, SDK integration, first traced run, evaluations, and LangGraph deployment. Help customers address security, organization design, workload isolation, integrations, and production readiness. Coordinate with GTM, Product, Engineering, and specialists to resolve issues, create repeatable onboarding resources, and track activation metrics such as time to first trace and production run.

Own onboarding for new LangSmith customers from kickoff through early activation, including administration, SDK integration, tracing, evaluations, and LangGraph deployment. Guide customers through security and production-readiness topics, coordinate with internal teams to resolve issues, develop onboarding documentation and runbooks, and track activation metrics. Help customers independently build evaluation workflows and debug production traces.

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