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

Build and maintain user-friendly web interfaces for expense and procurement products using React and TypeScript. Implement micro frontend patterns, integrate with backend services via Apollo/GraphQL, collaborate with designers and PMs on shared UI components and design systems, participate in code reviews, triage bugs, and improve frontend engineering standards and observability.

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.

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.

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.

Design and implement scalable data models and ETL pipelines (batch and streaming), ensure data quality/SSOT, collaborate with product and platform teams to resolve issues, contribute to data governance, and explore practical integrations between data engineering and AI.

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.

Plan, execute, and optimize multi-channel paid media campaigns (search, social, display) to drive acquisition, pipeline and ROI. Manage budgets, tracking/attribution, testing frameworks, campaign builds, and cross-functional collaboration to scale global demand generation.

Build and lead internal AI tooling and automation for security: develop threat-hunting and remediation tools, own large-scale log and ETL pipelines, maintain Kubernetes and serverless infrastructure, partner with product teams to reduce risk, and mentor junior engineers.

Lead and scale the Growth engineering organization: recruit, onboard, and develop engineers and managers; set goals, career paths, and performance/compensation processes; drive cross-functional execution with Legal, Risk, Operations, and Product; align technical direction and capacity planning with business and regulatory needs; and deliver API- and integration-heavy, data-driven systems that leverage analytics and AI to optimize user acquisition, onboarding, and retention.