Top AI & Machine Learning Jobs in San Francisco, CA

Design, build, and ship production LLM-powered features for Gusto Retirement. Implement and integrate LLMs (prompting, RAG, agents, tool loops), make pragmatic architecture decisions, collaborate with product/design/engineering, and write well-tested, scalable code while driving execution.

Own experimentation, statistical analysis, causal inference, metrics, and risk modeling to support strategic product and business decisions. Translate ambiguous questions into actionable analyses, communicate data-driven recommendations, and collaborate with Risk, Engineering, Product, Design, Operations, Identity, and Compliance teams. The role requires strong SQL and Python skills, leadership of technically complex projects, stakeholder influence, mentoring, and use of AI-assisted analytics.

Lead and grow Gusto's Sales Analytics team to rebuild sales data infrastructure, advance forecasting and causal-inference capabilities, deliver actionable revenue insights, enable AI-driven self-service analytics, and partner cross-functionally to drive scalable, high-impact analytics for acquisition and expansion.

Leads and develops a data science and analytics team supporting growth product initiatives. The role combines people management with hands-on product analytics, experimentation, measurement framework development, and AI product evaluation. It partners with Product, Engineering, Design, Marketing, Sales, and Finance to influence strategy, optimize user experiences, guide AI-powered feature development, and communicate actionable insights to senior leadership.

Lead integration of AI and automation across enterprise systems, designing Model Context Protocols and intelligent agents to automate workflows, ensure security and SOX compliance, measure KPIs, and enable business stakeholders to adopt AI-driven processes.

Design, build, and scale ML/AI platform infrastructure and MLOps solutions including automated pipelines, model deployment, monitoring, and retraining. Collaborate with ML engineers and application owners to define SLAs, implement CI/CD and observability, and apply AI-assisted tools and best practices across engineering workflows.

Lead product for Gusto's AI-first service intelligence layer across voice, chat, and email. Own intent understanding, escalation/handoff logic, context ingestion, knowledge retrieval, model evaluation and monitoring. Drive architecture simplification, experimentation, and cross-functional alignment with Sales, Service, and Engineering to improve solve rate, satisfaction, escalation accuracy, handle time, and customer effort.