Top Tech Jobs & Startup Jobs

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.

Manage and grow a portfolio of SMB restaurant partners on the Uber Eats platform. Build long-term relationships, use data-driven insights to track KPIs and identify growth opportunities, resolve merchant issues, influence adoption of products and services, and collaborate with operations, marketing, and product teams. The role requires negotiation, adaptability, stakeholder management, and comfort working in a high-ambiguity environment.

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.

Lead technical security diligence, integration, and operational security for acquired companies and subsidiaries. Assess cyber maturity, identify risks, deploy security tooling, build automation, normalize telemetry, and improve security visibility across cloud, on-premises, identity, endpoint, SaaS, and engineering environments. Support incident response, containment, remediation, and recovery while developing reusable security playbooks and frameworks. Communicate technical risks to executives and collaborate with security, IT, legal, corporate development, engineering, and business stakeholders.

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 scientific strategy and experimentation across Uber, translating ambiguous business problems into rigorous experiments and production solutions. Designs algorithms, establishes experimentation standards, improves technical performance, mentors scientists, and influences executive roadmaps. Requires deep expertise in statistical inference, experimental design, causal inference, and large-scale data tools, with responsibility for multi-team technical direction and critical product-area outcomes.

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.