Top AI & Machine Learning Jobs in San Francisco, CA

Lead GTM-focused data science initiatives: build revenue forecasts, apply causal inference, develop AI-enabled sales and retention solutions, partner with Product/Growth/Commercial teams, and translate analyses into scalable, automated workflows and executive-ready recommendations.

Design, build, and deploy production AI agents and orchestration systems using tools like LangChain and LlamaIndex. Apply prompting, RAG, fine-tuning, and model selection. Architect agent reasoning and workflows, implement monitoring and evaluation, and integrate AI systems with backend and frontend services for scalable, reliable, compliant production deployments.

Lead GTM data science initiatives to build revenue forecasting, causal inference analyses, and AI-enabled solutions that improve sales, retention, and expansion. Partner with Product, Growth, and Commercial teams to operationalize insights, communicate findings to stakeholders, and mentor junior data scientists.

Design, build, and deploy end-to-end machine learning solutions for payment risk and fraud. Responsibilities include data and feature engineering, model training, production deployment, platform/tool development, cross-functional collaboration, and ongoing analysis to mitigate fraud and deliver business impact.

Partner with Growth, Marketing, Sales, and Product to measure and optimize marketing and growth initiatives. Build dashboards and scalable measurement frameworks, design experiments, analyze ROI and trends, provide actionable recommendations, and communicate results to technical and non-technical stakeholders.

Lead the 0→1 development of an agentic AI finance product: define strategy, design UX, prioritize roadmap, partner with engineering, design, and customers to achieve product-market fit and scale.

Design and deploy agentic AI systems that automate multi-step financial workflows. Architect agents using frameworks like LangChain and LlamaIndex, apply prompting, RAG, and fine-tuning, optimize reasoning and tool use, build feedback-driven systems, and integrate AI reasoning securely into production backend and frontend services.

Lead a zero-to-one agentic AI finance product: define strategy, design UX, iterate to product-market fit, and collaborate with engineering, design, commercial teams and customers to ship scalable AI automation across payments, payroll, bookkeeping and tax.

Lead strategy, roadmap, and execution for AI-powered fintech products. Own end-to-end product lifecycle, mentor product managers, build ML/LLM-driven experiences (copilots, chatbots, recommendations), drive PLG and automation for growth, ensure responsible AI and compliance, and launch products across regions.

Partner with CEO/CFO to deliver executive-grade data, own global forecasting engine, build causal inference and time-series models, drive generative AI strategy and production, and scale a data science and engineering team to inform capital allocation and long-range planning.