Uber
Consumer · Rideshare
Consumer · Rideshare
Uber is actively hiring for 130 AI-related roles, with a significant focus on agents, which accounts for 40% of their open positions. Application roles also represent a substantial portion of their AI hiring at 29%. The majority of these roles are within Engineering, with the United States being the primary hiring country. Frequent technology tags include model serving, recommender systems, and agent orchestration, suggesting a direction towards deploying and managing AI systems.
Currently tracking 95 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $224k).
Uber currently has 86 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (3), 2026 PhD Applied Research Project (3 months), Aarhus, 2026 PhD Research Intern, India, 2026 PhD Software Engineering Internship, Security, Amsterdam, Agentic GTM Lead. Most positions are in Engineering and Product.
Uber's active AI hiring is concentrated in: agents (50%), application (19%), data (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Uber is hiring AI talent in: United States (67 roles), India (12 roles), Netherlands (7 roles), Denmark (1 role).
Job postings at Uber most frequently mention: Machine Learning, Production ML Systems, Autonomous Driving, Robotics, Generative AI.
In the past 30 days, Uber has posted 5 new AI-related roles. That is a -84% change versus the prior 30 days (32 → 5).
| Title | Stage | AI score |
|---|---|---|
| Program Lead: Product Operations - AI Observability This role focuses on establishing and implementing frameworks for monitoring, understanding, and improving Uber's GenAI-powered agentic systems. It involves defining methodologies for agentic reasoning observability, developing automated evaluation systems, and designing simulators to test AI performance. The goal is to translate complex agent behaviors into actionable insights and metrics to ensure accuracy, safety, and reliability. | AgentEval Gate | 8 |
| Senior Product Manager, Generative AI Product Manager for Generative AI at Uber, focusing on building user-facing AI-driven experiences across various product lines like recommendations, customer support, and coding copilots. The role involves crafting and executing Gen AI products, translating user needs into features, and understanding AI trends to inform the roadmap. Requires strong technical product management experience, preferably with Gen AI applications or agentic systems, and a background in ML or data science. |
| ShipAgent |
| 8 |
| Senior Product Manager, AI platform (Michelangelo) Product Manager for Uber's AI platform (Michelangelo), focusing on building, deploying, and managing classic ML and Generative AI/Agentic applications at scale. The role involves defining vision, strategy, and roadmap for critical platform components, driving adoption, and working closely with ML engineers, applied scientists, and data scientists. | ShipAgent | 8 |
| Senior Product Manager - AI Quality Product Manager role focused on defining the future of agentic Conversational AI at Uber, specifically on building, testing, and scaling intelligent agents. The role involves working across AI reasoning, evaluation infrastructure, and platform tools for AI assistants in customer support environments. Requires strong product management fundamentals and practical experience building AI/LLM products, with a focus on agents, platforms, model evaluation, or intelligent tools. | Eval GateAgent | 7 |
| Solutions Architect, Uber AI Solutions This role is a Solutions Architect within Uber AI Solutions, focusing on pre-sales and technical wins for enterprise clients in Autonomous Systems, Robotics, and Generative AI. The role involves architecting and prototyping AI data solutions, translating customer needs into technical blueprints, and providing feedback to influence the product roadmap. It requires a strong understanding of the AI lifecycle and cross-functional delivery. | Agent | 7 |
| Senior Product Manager — Grocery Fulfillment Optimization. Senior Product Manager for Uber Grocery Fulfillment Optimization, owning systems and decision logic for last-mile order fulfillment. The role focuses on marketplace algorithms, real-world logistics, and customer trust, involving dynamic adaptation to supply, demand, and failure modes. It requires deep partnership with Data Science to design matching, batching, and recovery systems, focusing on reliability, cost-effectiveness, and customer/earner experience. The role also involves designing resilient fulfillment systems, translating operational complexity into product requirements, and shifting fulfillment from reactive to proactive. | Agent | 7 |
| Senior Product Manager, Applied AI Product Manager for Uber's Core Personalization team, focusing on driving AI-driven product experiences and building the foundation personalization layer across business verticals. Requires strong technical background in AI/ML and GenAI, and experience delivering AI products at scale. | Ship | 7 |
| Agentic GTM Lead This role focuses on driving AI-powered sales execution by identifying, designing, and testing AI-led workflows to improve seller productivity and merchant outcomes. It involves early-stage experimentation and validation of agentic, automated commercial systems, partnering with Product and Engineering, and evaluating AI tools. | Agent | 7 |
| Senior Product Manager, AV Labs Product Manager for Uber's AV Labs, focusing on developing platforms and systems to generate high-quality autonomous driving data from real-world operations. The role involves defining product requirements, driving execution, and working with engineering, science, and operations teams to accelerate AV capabilities, particularly in areas like machine learning and semantic understanding. | Agent | 7 |
| Group Product Manager, AV Labs Group Product Manager for Uber's AV Labs, focusing on defining product strategy and roadmaps for technical domains including machine learning and data/validation platforms to accelerate the autonomous technology ecosystem. This role involves translating business goals into product direction, partnering with cross-functional teams, and influencing executive stakeholders. | DataPost-train | 7 |
| AI Knowledge Architect This role focuses on building and maintaining the knowledge base for customer-facing AI agents, ensuring they provide accurate and empathetic responses. It involves authoring prompt-aware content, structuring information for AI reasoning, tuning AI performance, and collaborating with product and engineering teams. The role requires a blend of technical writing, UX design, and prompt engineering skills, with a focus on optimizing retrieval accuracy and AI response patterns. | Agent | 7 |
| Director, Tech Transformation, Field Operations Director of Tech Transformation for Field Operations at Uber, focusing on integrating GenAI and automation into global customer service operations. The role involves co-developing and executing a technology roadmap, driving adoption of AI-powered solutions like agent assist (summarization, translation), redesigning workflows for AI integration, and leading automation initiatives to improve productivity, quality, and cost-efficiency. The goal is to transform FieldOps into a model tech-enabled organization by embedding technology into the operating model and fostering a culture of tech-first problem-solving. | Agent | 7 |
| Senior Product Manager, Earner Intelligence Product Manager for Earner Intelligence at Uber, focusing on building ML products and platforms for efficient growth and user experience optimization for drivers and couriers. The role involves owning the product roadmap, defining strategy, and working with ML techniques like causal ML, supervised ML, multi-armed bandits, genAI LLM, and deep learning embeddings. Key responsibilities include understanding earner behavior, designing recommendation engines and matching algorithms, and driving the execution of ML-based projects from data collection to model training and observability. | ShipAgent | 7 |
| Senior Manager, Solutions Architecture Seeking a Solutions Architect Manager to lead pre-sales engagements and define product roadmaps for Uber AI Solutions, focusing on enterprise AI data journeys in areas like Autonomous Systems, Robotics, and Generative AI. The role involves building a new Solutions Architecture function, mentoring a team, and ensuring margin-positive solutions from data to impact. | Agent | 7 |
| Senior Program Manager, Tech - Uber AI Solutions Senior Program Manager for Uber AI Solutions, focusing on AI training and evaluations for robotics, computer vision, and related fields. The role involves client engagement, presales support, program delivery management, and driving innovation in AI training services. It requires experience in ML operations, data annotation, AI infrastructure, and client-facing service delivery. | DataEval Gate | 7 |