Top Tech Jobs & Startup Jobs

Manage and grow a portfolio of SMB restaurant partners on Uber Eats. Build long-term relationships, use data and KPIs to identify growth opportunities, resolve merchant issues, negotiate adoption of products and services, and collaborate with operations, marketing, and product teams. The role requires adaptability, resilience, stakeholder management, problem-solving, and fluency in the local market language and English.

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.

Manage post-sales relationships with a portfolio of SMB partners, driving retention, revenue growth, upselling, and performance outcomes. Build joint business plans, lead partner growth initiatives, advocate for customer needs internally, track metrics, conduct business reviews, and collaborate cross-functionally to deliver results.

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.

Generates qualified business leads through outbound calls, email, LinkedIn, and marketing campaigns. Researches prospects, identifies business challenges, conducts executive-level conversations, and partners with Account Executives to advance opportunities. Tracks sales activities in Salesforce, meets pipeline and SQL targets, develops prospecting strategies, and collaborates cross-functionally to deliver client solutions.

Provides strategic HR partnership to Uber’s Mobility and Delivery organizations. Advises managers and employees on performance, employee relations, conflicts, labor standards, engagement, organizational health, and risk mitigation. Uses people data to identify trends, improves HR processes, supports talent and performance cycles, and collaborates with People teams to strengthen the employee experience and manager capability.