About the role

Over the past few years, Generative AI and more recently Agentic AI have been deeply embedded across Uber’s product portfolio to power seamless and magical user experiences across product discovery, customer support, document processing, driver coaching, merchant onboarding, and internal productivity tools such as coding copilots, code review, and on-call assistants, just to name a few.

To support this rapid expansion and accelerate next-generation innovation across the company, the Uber AI Platform team evolved Michelangelo - one of the industry’s first end-to-end AI platforms - to power Generative and Agentic AI at scale. Michelangelo provides industry-leading tools and capabilities that empower Uber’s developers to seamlessly build, evaluate, deploy, trace, and manage AI agents.

As AI needs continue to grow and evolve, we are seeking an experienced and passionate AI Product Manager with strong technical depth, sharp product intuition, and an entrepreneurial mindset to own the long-term vision, strategy, and roadmap for critical components of Michelangelo’s agent platform, shaping how AI agents are built, evaluated, governed, and scaled across Uber.

What you will do

• Work closely with Uber’s ML engineers, applied scientists, data scientists, software engineers, and other cross-functional builders to deeply understand Uber’s AI use cases, identify user pain points and opportunities, and gather product requirements.
• Set qualitative objectives and quantitative goals, define product requirements, and drive execution with the AI Platform Engineering, TPM, and UX design teams.
• Internal and external stakeholder management, and make tradeoff decisions based on technical and business insights.
• Monitor and measure launched products and feed insights back into the product development process to drive growth.
• Drive platform adoption and enablement across technical and non-technical users, ensuring Michelangelo lowers the barrier to building and scaling AI applications.
• Clearly communicate product plans, progress, and results to a spectrum of audiences, from internal stakeholders to customer teams, Uber executives, and external ML communities.

Basic qualifications

• 5+ years of Product Management experience delivering highly successful AI/ML products. Experience launching Gen AI applications or agentic systems, from initial conception to launch, is highly preferred.
• Strong analytical skills with a data-driven decision-making approach.
• A computer science, data science, or other engineering degree equivalent.
• Thrive in cross-functional environments and work backward from the needs of your customers to create solutions that scale.
• High attention to detail and proven ability to manage multiple, competing priorities.
• Strong communication skills, both verbal and written.

Preferred qualifications

• Strong technical background in the AI/ML space. Deep understanding of one or more of the following fields: Agent evaluation and observation, Agent runtime and execution, Agent orchestration, memory and context management, Agent governance and security, or foundation model pretraining, eval, and post-training
• Experience launching enterprise-grade agentic applications
• Experience building large-scale AI/ML/Data infra or platform products.
• Experience working with ML/Data platforms such as AWS Sagemaker and Bedrock, GCP Vertex AI and Gemini enterprise, and Databricks, and AI model providers such as OpenAI and Anthropic.
• Experience driving platform adoption across large, complex organizations.

For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.