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

Lead the technical strategy, architecture, development, and productionization of large-scale machine learning and pricing systems for Uber’s real-time marketplace. Develop deep learning, causal, reinforcement learning, optimization, and algorithmic pricing solutions serving billions of trips. Mentor engineers, influence cross-team technical direction, communicate with executives, and deliver high-impact systems for millions of drivers.

Leads executive and employee communications for Community Operations, developing strategic messaging, internal communication plans, campaigns, and change-management communications. Advises executives, partners with cross-functional teams, drafts leadership materials and employee content, and translates complex topics into clear narratives. Tracks communication metrics and supports organizational transformation while maintaining employee engagement across geographies.

Leads the design and scaling of AI-powered marketing workflows, agents, copilots, and internal tools. Partners with creative, marketing, product, engineering, and data teams to operationalize generative AI across research, content creation, localization, measurement, and optimization. Establishes prompt, evaluation, governance, quality, and responsible AI practices; trains marketing teams; evaluates emerging technologies; and measures improvements in efficiency, quality, speed, and marketing performance.

Leads Uber’s global revenue accounting platform, including subledger architecture, data pipelines, billing integrations, reconciliation tooling, close automation, and SOX controls. Sets the modernization roadmap, partners with FinTech, engineering, audit, and accounting teams, supports launches and acquisitions, and manages a team of accounting systems professionals. Drives scalable, accurate, and audit-ready revenue accounting across multiple business lines.

Support Uber’s global corporate development and M&A activities across business lines. Responsibilities include developing acquisition and investment strategies, sourcing opportunities, conducting diligence, valuation and synergy analyses, negotiating and executing transactions, and presenting business reviews to senior leadership. The role partners closely with business leaders and internal and external stakeholders to advance strategic initiatives.

Lead software engineering projects for Uber’s Autonomous Mobility & Delivery team. Develop strategic roadmaps, technical designs, scalable backend services, and products supporting autonomous vehicle rideshare experiences. Collaborate across product, design, business, legal, operations, and external engineering teams to deliver reliable systems, improve KPIs, and future-proof Uber’s technology stack for autonomous vehicle use cases.

Develop Android features and platform capabilities for Uber’s autonomous mobility products. Lead technical projects from inception through deployment, collaborate with product, data science, and operations teams, and make trade-offs across performance, quality, and delivery speed. Establish testing, monitoring, and alerting standards, manage complex incidents, improve engineering velocity, and deliver high-quality customer-facing mobile experiences at global scale.

Design and build scalable search and AI-serving infrastructure for retrieval, ranking, personalization, and LLM-powered search. Develop backend systems, optimize GPU inference, integrate machine learning models, improve real-time feature serving, and ensure low latency, reliability, observability, and safe production rollouts. Collaborate with ML, data science, product, and platform teams while providing technical leadership, mentoring, and troubleshooting complex distributed systems.

Leads Uber’s U.S. auto claims strategy, handling standards, and process improvements. Oversees complex and high-severity claims, evaluates carrier and TPA performance, establishes performance measures, drives corrective actions, and uses claims data to identify trends and reduce total cost of risk. Partners with Risk Management, Actuarial, Legal, Safety, Product, and Public Policy teams while communicating claims insights and financial implications to senior stakeholders.

Leads complex technical programs from scoping through deployment, aligning Engineering, Product, Data Science, vendors, and global stakeholders. Designs scalable operational processes, data pipelines, and SOPs; resolves dependencies and scope conflicts; monitors vendor performance; identifies process gaps; and drives continuous improvement. Uses SQL and spreadsheet-based analysis for root-cause investigation, program spend justification, dashboards, and team-effectiveness measurement.