Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Full Stack Engineer will develop and implement features for the LangSmith platform, collaborate with teams, ensure high coding standards, and engage with enterprise customers.

Lead and scale commercial sales across the Eastern region: build and manage AEs, own territory strategy and pipeline, run forecasting and deal reviews, engage technical and economic buyers, coordinate go-to-market with cross-functional partners, and inform product/pricing from field insights.

Build and operate the LangSmith Deployments runtime for long-running AI agents: design distributed queue/worker systems, own state persistence and job claiming, implement resumable streaming, instrument production systems, participate in on-call and incident response, produce system documentation, and contribute to open-source LangGraph.

The role involves designing and optimizing a storage layer for AI observability, coding in Rust, and ensuring efficient database performance.

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.

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.

Lead end-to-end monetization programs and operationalize corporate revenue strategies. Design cross-functional systems and data pathways linking product usage, billing, and ERP. Audit and optimize commercial architecture to eliminate revenue leakage, establish governance, and align Product, Finance, Engineering, and GTM for profitable, scalable monetization.

Lead and scale LangChain's content practice: define strategy and roadmap, hire and mentor a content team, own flagship initiatives and blog performance, write and edit key content, expand SEO/AEO efforts, build editorial standards and workflows, collaborate cross-functionally, and measure/optimize content impact.

Lead a small systems team building SmithDB: write and review Rust production code, make architecture decisions for storage and query execution, drive performance profiling and fixes, deploy and harden distributed Kubernetes services, integrate cloud object stores, build observability, and manage hiring, mentorship, and the technical roadmap.