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

Senior technical leader embedded with strategic customers to design, build, and deploy production AI systems. Lead and grow FDE teams, own end-to-end architecture, agent orchestration, data integration, governance, and measurable business outcomes while translating field learning into product improvements, reusable patterns, and deployment playbooks.

Embed with strategic customers to design, build, and deploy frontier AI/LLM systems into production. Responsibilities include discovery, architecture, integration, prototyping, deployment, observability, safety evaluations, and driving adoption and product feedback.

Design and optimize large-scale AI platform internals: inference runtimes, model serving, GPU and distributed performance, context engineering, cost optimization, release safety, observability, and production reliability. Provide technical leadership, mentor engineers, define architecture trade-offs, and ensure safe, cost-efficient, and scalable deployment of LLM and agentic systems.

Lead end-to-end Salesforce and go-to-market programs, manage cross-functional dependencies, drive integrations and Customer 360 adoption, enable reporting and AI-driven use cases, and oversee executive governance, budgets, and program health to improve revenue operations and data quality.

Design, build, and deploy AI-powered Salesforce Agentforce and Service Cloud solutions. Integrate Agentforce with CRM, Knowledge, Data Cloud and enterprise systems; implement Apex, LWC, Flows, Platform Events, APIs; ensure security, testing, deployment, and performance; collaborate with architects and stakeholders to translate business needs into scalable AI-driven solutions.