Top AI & Machine Learning Jobs in San Francisco, CA

Lead technical direction for a greenfield team building agentic/LLM-based systems to reduce SDLC friction. Design, implement, and evaluate multi-step orchestration, ensure distributed-systems correctness at scale, mentor engineers, collaborate cross-region, and own technical hiring and foundations from discovery through production.

Design and build reliable AI-powered, agentic backend systems that reduce developer friction across the software lifecycle. Scope problems, implement multi-step orchestration with safety checks and recovery, evaluate agent correctness and cost, apply distributed systems judgment, and own greenfield solutions that may evolve into customer-facing capabilities.

Lead product vision and strategy for GitLab's end-to-end software factory, unifying planning, coding, review, and verification workflows. Partner cross-functionally to identify gaps, align priorities, and present recommendations to executives. Drive cohesive AI-powered DevSecOps experiences and help bring the software factory to market.

Maintain and consolidate an inventory of AI tools for the field org, track adoption and utilization, manage access requests, support AI data hygiene, create enablement communications and simple reporting, and coordinate with enablement, IT, and field stakeholders to operationalize AI tooling.

Lead the field organization's AI agenda: define enablement roadmaps, identify and scale high-value AI field use cases, drive operational transformation, build field champions, and establish governance for safe, compliant AI adoption.