Uber is looking to define the future of agentic Conversational AI, focusing on building, testing, and scaling intelligent agents for customer support. The goal is to improve AI assistants' ability to interact, adapt, and learn in complex support environments, enhancing customer experiences and operational efficiency.
Requirements
- 5+ years of product management experience delivering highly successful and innovative technology products. (minimum of 1+ years working on AI/ML or LLM-driven tech - either in platforms, tools, conversational AI, or AI applications)
- Strong understanding of large language models, AI agent patterns, and ML workflows. You don’t need to train models, but you know how they work, how to test them, and how to build great products on top of them.
- Demonstrated ability to ship technical products with cross-functional teams. You’ve taken complex systems from concept to launch, especially in ambiguous or fast-moving environments.
- Exceptional ability to articulate complex AI concepts and product strategies to various audiences, from engineers to senior executives. Experience in crafting executive-level presentations that convey product vision, progress, and business impact.
- Familiarity with LLMs/ large language models and their applications. Demonstrated passion for prototyping or experimenting with new AI use cases
- Expertise in data analytics to inform product decisions and validate hypotheses.
Responsibilities
- Own roadmaps and prioritize work that balances long-term platform investments with short-term needs from various product teams - ensuring alignment with company objectives.
- Advocate for the end-user by integrating design thinking and user research, ensuring AI products deliver delightful experiences.
- Deeply engage with AI engineering teams to align and execute the product strategy for platform capabilities that improve how AI agents are evaluated, understood, and launched—including testing frameworks, benchmarking infrastructure, and observability tools.
- Utilize data to prioritize features, make informed trade-offs, and continually enhance product performance.
- Work closely with engineering, AI/ML, and data science teams to design scalable systems that improve iteration speed and reliability across conversational AI products.
- Present clear and compelling progress updates to senior leadership, aligning stakeholders and securing support.
Other
- Bachelors degree in Computer Science, Engineering, Math, or a top-tier Business school.
- Startup Mentality: Comfortable with ambiguity, making fast-paced decisions, adapting to changes, and able to manage multiple priorities under pressure.
- Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
