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

Leads global HR delivery, employee engagement, cyclical people programs, HR process optimization, compliance, and strategic executive consultation. Partners with HR business partners, Centers of Excellence, Finance, and Legal to scale globally consistent yet locally relevant people programs. Oversees data-driven HR priorities and leads a distributed team of experienced People Partners while driving organizational health and HR transformation.

Architect and evolve Uber One membership platforms serving millions globally. Lead scalable distributed systems, microservices, APIs, architecture reviews, technical strategy, observability, incident response, and technical standards. Partner cross-functionally with engineering, product, data science, and design teams; drive complex technical projects from inception through deployment; reduce technical debt; and mentor senior engineering talent.

Manage and grow Uber’s payments platform, which orchestrates marketplace money movement at massive scale. Responsibilities include shaping platform strategy, collaborating with engineering and cross-functional teams, analyzing metrics, diagnosing problems, prioritizing work, and delivering reliable, scalable payment products across B2B and B2C marketplaces.

Manage and grow a portfolio of small and medium-sized restaurant partners on the Uber Eats platform. Build long-term relationships, use data and KPIs to identify growth opportunities, resolve merchant issues, negotiate effectively, and drive adoption of new features and services. Collaborate with operations, marketing, and product teams while adapting to changing priorities and market needs.

Administer and improve global sales incentive plans in Xactly, review compensation requests and exceptions, resolve JIRA issues, coordinate employee changes with People Ops and Payroll, calculate commissions, and audit statements for accuracy. The role partners with Sales Operations, IT Engineering, and cross-functional stakeholders on plan governance, process improvements, and expansion initiatives.

Lead paid marketing strategy for Uber Delivery across the Americas. Identify growth opportunities, determine investment priorities across markets and channels, analyze performance and acquisition economics, and make data-driven budget recommendations. Partner with regional, global channel, Science, Finance, and Delivery teams to influence senior stakeholders, challenge existing plans, and scale high-impact paid marketing approaches.

Lead product strategy and system requirements for autonomous vehicle platforms operating on Uber. Define vehicle specifications spanning hardware, embedded software, interfaces, and architecture; manage integration decisions with OEMs and autonomy partners; and drive trade-offs involving reliability, manufacturability, scalability, cost, and performance. Establish requirements, interface definitions, release criteria, and execution mechanisms across vehicle programs and generations while communicating risks and decisions to leadership.

Leads backend architecture and technical strategy for autonomous vehicle and customer support systems. Designs scalable integrations across Fleet, Uber for Business, Direct, and platform teams; develops proactive trip-lifecycle support, Agentic AI capabilities, reliability, and end-to-end testing frameworks. Drives cross-functional technical alignment and mentors senior engineers toward Staff-level impact.

Own Uber’s global compensation, benefits, headcount, SBC, share count, and dilution forecasts. Partner with Finance, Accounting, Compensation, Equity, Benefits, and People teams to model costs, support P&L and profitability planning, analyze scenarios, and prepare executive decision materials. Maintain forecasting and amortization models, support close and variance analysis, evaluate compensation programs, and improve automation and documentation. The role requires advanced financial modeling and strong analytical experience.

Leads a team of scientists developing data-driven pricing and incentive products for a complex marketplace. Responsibilities include formulating ambiguous business problems, building optimization, causal inference, and machine learning models, designing experiments, defining success metrics, guiding end-to-end product development, mentoring scientists, partnering with stakeholders, and communicating recommendations to senior leadership.