Top Tech Jobs & Startup Jobs

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.

Manage the full sales cycle for Uber Eats restaurant partners, including prospecting, cold calling, pitching, contract negotiation, and closing. Identify strategic restaurant prospects, communicate platform value, collaborate with onboarding teams, and support partner performance during the first 28 days. The role also involves improving internal processes, managing sales pipelines in CRM software, meeting targets, and building long-term partner relationships.

Design and implement scalable, user-facing web features for high-traffic Uber applications. Own technical design and execution, collaborate with product, design, data science, and backend teams, improve performance and reliability, establish frontend engineering standards, resolve production issues, and mentor junior and mid-level engineers.

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.

Support Uber Eats restaurant partners across account performance, revenue growth, marketing campaigns, and expansion opportunities. Analyze KPIs, build dashboards, conduct business reviews, identify growth opportunities, and recommend commercial solutions. Assist with partner communications, Ads and Offers adoption, performance marketing, and post-campaign analysis. The role requires strong Excel or Google Sheets skills, analytical thinking, stakeholder management, native German, and fluent 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.