Top Tech Jobs & Startup Jobs in NYC, NY

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Responsibilities include architectural design, high-volume data storage and query optimization, reliability engineering, testing, monitoring, alerting, production troubleshooting, root-cause analysis, documentation, and cross-functional feature delivery.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product, design, customers, and internal stakeholders to deliver scalable observability and evaluation capabilities. Write clean, tested code, design high-performance APIs, work with Postgres and Redis, and drive rapid project execution. The role requires strong fullstack engineering, communication, ownership, and customer engagement skills.

Own end-to-end test strategy for LangGraph Cloud and LangSmith across APIs, services, UI, data, and infrastructure. Build ephemeral Kubernetes test environments, improve CI/CD reliability and speed, create observability and performance testing workflows, establish quality baselines, and support incident remediation through regression tests and runbooks. The role requires Python and pytest expertise, API testing experience, and collaboration across infrastructure, backend, and frontend teams.

Drive adoption of LangChain’s AI products by sourcing, qualifying, and closing outbound mid-market deals. Build relationships with technical teams, help prospects evaluate solutions, and collaborate with sales, engineering, and customer success teams. The role requires curiosity about GenAI technology, strong execution in a fast-paced environment, and resourcefulness in advancing customer opportunities.

Leads hands-on development of production AI agents and workflows, including architecture, evaluation, monitoring, deployment, and performance optimization. Mentors engineers, sets technical standards, translates customer and stakeholder needs into technical plans, and drives tooling and process improvements. Collaborates across business functions to identify automation opportunities and contributes to the LangChain and LangGraph open-source ecosystems.

Drive adoption of LangChain products by sourcing, qualifying, and closing outbound mid-market deals. Build relationships with technical teams, help customers discover and evaluate AI solutions, and support their adoption. Work collaboratively with sales, engineering, and customer success teams in a fast-paced environment while developing expertise in generative AI technology and customer businesses.

Leads and scales LangChain’s SDR team, owning performance, coaching, recruiting, pipeline generation, qualification playbooks, and productivity systems. Partners with sales, marketing, and RevOps on account targeting, territories, inbound conversion, and pipeline goals. Uses funnel metrics and conversion analysis to improve team effectiveness while supporting technical products and developer audiences.

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.

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.

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.