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

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.

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 by owning performance, coaching, recruiting, pipeline generation, qualification playbooks, and productivity systems. Partners with sales, marketing, and RevOps to improve inbound and outbound motions, target-account alignment, conversion rates, and revenue pipeline. The role requires strong data-driven management, technical product familiarity, modern GTM tooling experience, and the ability to develop early-career sales talent in a rapidly evolving environment.

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.

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.