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

Tests security control design and effectiveness across enterprise, cloud, SaaS, and vendor environments; automates evidence collection and continuous control monitoring; supports audits, risk assessments, remediation tracking, exception reviews, and risk reporting. The role uses scripts, SQL, dashboards, and AI tools to analyze controls and findings, while maintaining risk registers and improving security processes, documentation, and runbooks.

Leads technical direction for Uber’s AI developer platform, building agentic systems that plan, code, review, verify, and ship software. Responsibilities include architecting durable workflows, setting AI evaluation and reliability standards, partnering across engineering organizations, shipping critical platform components, mentoring technical leaders, and representing the platform externally. The role requires large-scale backend or developer-platform engineering experience, strong programming skills, and technical leadership across multi-team initiatives.

Own and deliver web frontend products at Uber scale, partnering with stakeholders and cross-functional teams. Build applications using React, GraphQL, Flow, CSS-in-JS, Node.js, and Uber’s frontend frameworks. Measure feature experiments, collaborate with Data Science and Product teams, and iterate on user experiences. Mentor junior engineers, provide technical leadership, and ship high-quality features on schedule.

Build software and reusable frameworks that improve the reliability, scalability, and efficiency of Uber’s globally distributed services. Lead engineering initiatives, develop automation and observability tools, guide reliable architectures, apply SRE practices, participate in on-call rotations, mitigate incidents, and drive post-incident improvements. The role also involves technical design, cross-team alignment, mentoring, and hands-on implementation.

Build and expand Uber’s backend fares platform, including framework infrastructure for customizable fare configurations across businesses and markets. Develop highly available, scalable distributed systems and microservices, collaborate with engineering, product, operations, and data science teams, contribute to product launches affecting millions of customers, and participate in on-call rotations. The role primarily uses Go and Python and values payments or fintech engineering experience.

Lead data governance and spend analytics programs, prioritize enterprise data requirements, build executive dashboards and alerts, analyze Oracle and Salesforce data, improve data quality and traceability, and test AI agents using prompt engineering and LLM technologies. The role bridges business strategy and engineering while delivering scalable governance frameworks, automation, compliance-ready processes, and savings opportunities.

Build production software for Uber’s lever-efficiency platform, including Spark and Hive data pipelines, Go backend services, APIs, dashboards, and budget allocation tools. Collaborate with data scientists to productionize statistical and experimental workflows, automate experiment analysis, and support optimization models. Own features from design through launch, including testing, monitoring, on-call support, documentation, and data-quality processes.

Architects, develops, deploys, and operates large-scale machine learning systems that optimize merchant delivery zones and marketplace performance. Responsibilities include model training, feature engineering, ML infrastructure, real-time inference, experimentation, monitoring, and automated retraining. The role partners with Product, Data Science, Operations, and Infrastructure teams while leading technical initiatives and mentoring engineers.

Leads Uber’s applied science team responsible for measuring marketing impact and optimizing investment decisions. Oversees experimentation, causal inference, Marketing Mix Modeling, attribution, predictive machine learning, AI, and LTV modeling. Builds scientific roadmaps, scales measurement systems, partners with Marketing, Media, Operations, and Engineering, and coaches Applied Scientists. The role requires strong quantitative expertise, executive communication, people leadership, and experience deploying experimentation and machine learning solutions in technology or ad-tech environments.

Develop and maintain Uber’s iOS Maps API layer and Map Display SDK. Design stable, ergonomic APIs, collaborate with mobile feature teams, write Swift and Objective-C code, diagnose performance and concurrency issues, and contribute to technical design and code reviews. The role requires building well-tested, backward-compatible frameworks used across Rider, Driver, and Eats applications.