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

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.

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.

Create industry and use-case solution narratives that map LangChain's platform to enterprise buyer needs. Develop sales enablement, campaign assets, and repeatable sales plays; partner with sales, product, field marketing, and customer teams to drive pipeline and enable complex buying committees for production-ready AI agents.

Design developer-focused product experiences across LangChain's platform. Conduct user research with developer teams, own end-to-end feature design from concept to shipped UI, solve complex interaction problems for dense technical data, and collaborate closely with product and engineering to iterate quickly.

Develop and maintain benchmarks, run experiments across models, prompting, tools, and orchestration, and implement fine-tuning or post-training improvements. Analyze production agent failures, optimize for cost/latency/reliability, and ship measurable production improvements while guiding ML roadmap and mentoring teammates.

Provide commercial legal support across sales, partnerships, vendor, and operational contracts. Draft, review, and negotiate MSAs, DPAs, security addenda, vendor agreements, and partner deals. Advise cross-functional teams on privacy, security, IP, AI/LLM usage, and risk. Build contracting templates, playbooks, intake workflows, and help implement Ironclad to scale legal operations.

Partner Engineer builds reference architectures, integrations, and enablement for cloud providers and systems integrators. Owns partner certification, workshops, delivery playbooks, and joint technical roadmaps. Acts as technical evangelist, escalation point for partner deployments, and relays partner feedback to product and engineering.

Build and ship production-grade autonomous customer agents using LangChain/LangGraph to deflect support cases and automate onboarding. Own technical roadmap, design agentic architectures, dogfood the stack, and deliver end-to-end AI-native onboarding and self-service systems.

The People Partner will embed with teams to drive business outcomes, proactively address organizational challenges, and implement AI-driven people solutions.

Develop and enhance user-facing features for an LLM observability platform using React and TypeScript. Build reusable components and front-end libraries, translate designs into performant UI code, optimize cross-device/browser performance, and collaborate with backend engineers and designers to improve usability.