Top Tech Jobs & Startup Jobs

Acquire new small and midsize merchants for Uber Eats through prospecting, cold calling, emailing, relationship building, and contract negotiation. Communicate product value, meet sales targets, coordinate merchant activation with Operations and Account Managers, maintain an organized pipeline, and develop long-term regional partnerships.

Own growth, retention, and success for a portfolio of SMB restaurant partners across Texas. Build bilingual Spanish-English relationships, analyze account data and KPIs, negotiate commercial agreements, drive adoption of Uber Eats products, resolve operational issues, and collaborate with operations, marketing, and product teams. Maintain Salesforce CRM records and pipeline tracking while adapting to changing market conditions.

Leads technical direction and architecture for Uber One membership engineering across growth, retention, benefits, experimentation, and infrastructure. Designs highly scalable distributed systems, coordinates complex multi-team initiatives, drives experimentation and data-informed product development, mentors senior engineers, and partners with Product, Data Science, Marketing, and business leaders to deliver reliable membership experiences across Rides, Delivery, and Grocery.

Develop and deploy computer vision and multimodal models for document understanding, transcription, and verification. Responsibilities include model training, evaluation, production deployment, monitoring, scaling, edge optimization, and building robust evaluation frameworks. The role involves collaborating with infrastructure and product teams, analyzing production failures, and improving model accuracy, efficiency, privacy, and reliability across large-scale applications.

Develop autonomy algorithms that extract semantic meaning from complex urban driving scenarios and enrich AV data. Design onboard systems, manage sensor dependencies, define evaluation datasets and metrics, and collaborate with platform, product, and security engineering teams to deploy machine learning techniques into production.

Owns advanced advertising and demand generation solutions for restaurant and mid-market merchants. Identifies upsell opportunities, develops strategic pitches, advises sales teams and clients, negotiates deals, manages Salesforce pipeline records, oversees campaign implementation, monitors performance, supports reporting, and coordinates with revenue operations and technical teams.

Develop and optimize statistical, mathematical programming, and machine learning models for Uber’s dynamic pricing systems. Analyze marketplace data, design experimentation and causal inference methods, identify algorithm improvements, and deploy solutions with Product, Engineering, and Operations. Build diagnostic tools, logging infrastructure, and marketplace metrics while translating complex analyses into actionable strategies for business leadership.

Owns ambiguous commercial strategy questions from problem framing through leadership decisions. Develops executive-ready recommendations, analyzes performance using SQL and analytical tools, leads cross-functional planning and performance reviews, and builds reusable decision frameworks. Partners with senior stakeholders across Commercial, Finance, Operations, Product, Sales Planning, and regional teams. Uses AI to accelerate research and analysis while validating outputs and applying sound business judgment.

Leads Mobility Analytics, Strategy, Planning, and Program Management for a large-scale operational business. Owns data integrity, governance, lineage, monitoring, AI-assisted anomaly detection, self-service analytics platforms, strategic narratives, planning cycles, and cross-functional execution. Builds AI-first workflows using LLMs and automation to accelerate investigations, reporting, and decision-making while partnering with Product, Engineering, Operations, Finance, and executive leadership.

Develop autonomy algorithms that add semantic understanding to real-world driving data. Design onboard systems, manage sensor dependencies, define evaluation metrics, and build scalable production solutions for safety-critical autonomous vehicle systems. Collaborate with platform, product, and security engineering teams to deploy onboard systems.