Top Tech Jobs & Startup Jobs

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.

Lead the engineering team building LangSmith, an AI observability and evaluation platform for LLM applications. Responsibilities include hiring and mentoring engineers, setting technical direction, ensuring scalability and reliability, partnering with product and design, writing high-quality Go, Python, and TypeScript code, and engaging customers to guide product improvements.

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.

Owns end-to-end employee onboarding in San Francisco, including pre-boarding, compliance documentation, background checks, account setup, cohort onboarding, 45/90-day check-ins, buddy programs, employee support, and process documentation. The role also builds scalable onboarding infrastructure, supports global and international hires, maintains knowledge resources, and uses AI automation to improve People Operations efficiency.

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.

Own the full enterprise sales cycle for LangChain products, build trusted customer relationships, drive proofs-of-concept, negotiate deals and contracts, collaborate with engineering/product/customer success, and feed customer insights into product roadmap to accelerate GenAI adoption.

Own the full enterprise sales cycle for LangChain products: qualify leads, run POCs with sales engineers, close deals, negotiate contracts, and partner with product, engineering, and customer success to drive adoption and inform roadmap.

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.