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

Own end-to-end strategy and outcomes for Uber US markets or product lines. Analyze marketplace performance using SQL and large datasets, identify growth and profitability opportunities, shape roadmaps, optimize pricing and customer experience, and lead complex cross-functional initiatives. Influence Product, Operations, Finance, and senior stakeholders through data-driven recommendations and strategic decision-making.

Lead global paid social brand and direct-response campaigns across digital platforms. Translate business goals into marketing strategies, manage experimentation and forecasting, optimize campaign performance, and provide expertise in attribution, measurement, and pixel implementation. Collaborate with regional media, agency, and analytics teams while managing budgets, testing new advertising capabilities, and delivering data-driven recommendations to improve acquisition, engagement, and retention.

Leads product vision and strategy for complex, large-scale technology platforms. Builds 0-to-1 solutions, including APIs and orchestration layers, translates ambiguous user needs into requirements, aligns engineering and cross-functional teams, manages strategic partners, and uses experimentation, dashboards, and research to improve product quality and reliability.

Build backend verification systems that determine whether software changes are safe to land. Develop test-quality measurements, mutation analysis, fault detection, AI-generated code verification, agent evaluations, reliability signals, and flaky-test reduction. Define verification health metrics, technical standards, and direction while collaborating across CI, build, product, and engineering teams.

Leads SOX advisory and financial risk management activities, including control scoping, readiness assessments, ICFR evaluations, deficiency remediation, stakeholder engagement, reporting, and regulatory monitoring. The role advises business process owners, manages audit relationships, develops team members, and drives process optimization through automation, data analytics, and AI while ensuring compliance with SOX, PCAOB standards, and SEC guidance.

Own global sales planning and incentive compensation strategy for Uber Advertising. Design and model quotas, commissions, SPIFFs, and sales incentive plans; oversee compensation administration, governance, disputes, analytics, and reporting. Build capacity, territory, headcount, and quota allocation models while partnering with Sales, Finance, People Operations, Legal, and systems teams. Lead plan rollouts, communications, and change management to support revenue growth, cost control, and sales talent retention.

Leads strategic operations for Uber Eats enterprise restaurant partners by diagnosing complex business challenges, developing analytical frameworks and scalable tools, prioritizing initiatives, and translating data into actionable recommendations. Partners cross-functionally to drive execution, influence senior stakeholders, improve commercial performance, and strengthen operational excellence.

Partners with US&C advertising sales leadership on territory planning, forecasting, quota tracking, pipeline analytics, and sales efficiency. Maintains Salesforce account assignments and revenue data, supports compensation and quota adjustments, improves sales processes, drives adoption of sales tools, and facilitates go-to-market launches for advertising products and pricing packages.

Build and ship user-facing Uber Eats Home Feed features for the web using React, TypeScript, HTML, and CSS. Own features from technical design through experimentation, launch, and iteration. Collaborate with design, product, backend, and data science teams while improving performance, accessibility, reliability, and observability. Contribute to design documentation, code reviews, on-call operations, maintenance, and data-driven product development.

Lead the technical vision and long-term machine learning strategy for Consumer Incentives. Design personalization, causal measurement, experimentation, and constrained optimization solutions; architect scalable end-to-end ML systems; evaluate reinforcement learning, foundation models, and generative AI; and drive cross-functional initiatives from formulation through production. Mentor technical leaders, establish engineering best practices, and connect model improvements to measurable consumer and business outcomes.