Top Tech Jobs & Startup Jobs

Own sales compensation strategy, incentive plan design, job architecture, leveling, benchmarking, and compensation analytics. Partner with Sales Operations, HR, Finance, Legal, and leadership to model commission structures, assess financial risk, forecast ROI, analyze plan effectiveness, and communicate compensation changes. The role requires strong financial modeling, data analysis, stakeholder influence, and experience in high-growth technology environments.

Leads Uber Advertising’s US sales organization, owning revenue strategy, commercial execution, quota and pipeline discipline, forecasting, and operational scaling. Partners with Product, Engineering, Marketing, Finance, Legal, and Operations to shape advertising products, inventory, measurement, pricing, and go-to-market strategy. Builds a high-performance culture, recruits and develops multi-tier sales leadership, manages major advertiser and agency relationships, and drives growth across a rapidly scaling ad-tech marketplace.

Own and grow Uber for Business’s federal enterprise segment across civilian and Department of War accounts. Responsibilities include expansion and new-logo sales, federal pipeline and segment strategy, full-cycle opportunity management, GSA BPA navigation, procurement and contracting, stakeholder relationship management, cross-functional deal leadership, forecast discipline, and development of repeatable federal go-to-market motions.

Analyze employee, survey, HRIS, and behavioral data to deliver insights on engagement, retention, performance, and organizational health. Partner with business leaders and HR teams as an analytics consultant, build dashboards and repeatable analyses, interpret employee listening results, and communicate recommendations through clear narratives and visualizations. Support scalable self-service reporting and improve measurement of employee experience.

Lead Uber Mobility’s growth strategy across the Americas, connecting global objectives with regional execution. Own the full marketing funnel, including acquisition, retention, and frequency, while aligning Brand and Performance Marketing teams. Drive integrated planning, optimize marketing investment against marketplace conditions, use data to adjust strategies, and present growth insights and recommendations to regional leadership. Partner with marketing operations, general managers, and cross-functional stakeholders in a fast-paced, globally distributed environment.

Leads marketing operations for Uber’s US and Canada region, translating priorities into operating plans, governance, execution roadmaps, and business reviews. Manages budgets, forecasting, resource allocation, cross-functional programs, marketing tools, and organizational effectiveness. Partners with regional and global marketing, finance, strategy, and operations leaders to improve collaboration, accountability, and execution across a matrixed organization.

Develop and own end-to-end machine learning models for Uber Freight’s marketplace, including cost prediction, booking probability, demand elasticity, pricing, matching, recommendations, and optimization. Partner with backend engineers to deploy models to production and ensure reliable performance. Apply predictive modeling, causal inference, constrained optimization, reinforcement learning, and marketplace design to solve complex logistics problems.

Architect, productionize, and scale autonomous customer-support agents using agentic architectures, LLM orchestration, retrieval, evaluation, safety guardrails, multilingual capabilities, and real-time voice. Own highly available systems serving millions of conversations, establish reliability and experimentation practices, partner on global rollouts, and mentor multiple engineering pods.

Lead the strategy, architecture, and development of Uber’s enterprise endpoint security platform across macOS, Windows, and Linux. Drive vulnerability management, application security, scalable defense automation, and AI-enabled security operations. Establish technical direction, mentor engineers, promote engineering excellence, and collaborate across IT, product, and operations teams to improve security posture at cloud scale.

Develop machine learning algorithms and scalable AI systems for autonomous driving. Responsibilities include end-to-end ML implementation, sensor dependency management, dataset collection and auto-labeling, system architecture, and production deployment in safety-critical environments. The role collaborates with platform, product, security, cloud, compute, and big data engineering teams while providing technical leadership.