U

Uber

Connects people with rides, meals and groceries

Senior Product Manager - Agent Platform and Infrastructure

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of Product Management experience delivering highly successful AI/ML products.
  • Strong analytical skills and a data-driven decision-making approach.
  • A computer science, data science, or other engineering degree equivalent.
  • Ability to work in cross-functional environments and create scalable solutions based on customer needs.
  • High attention to detail and the ability to manage multiple competing priorities.
  • Strong verbal and written communication skills.

Responsibilities

  • Work with ML engineers, applied scientists, data scientists, software engineers, and other cross-functional builders to understand 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 AI Platform Engineering, TPM, and UX design teams.
  • Manage internal and external stakeholders and make tradeoff decisions based on technical and business insights.
  • Monitor and measure launched products and feed insights into product development to drive growth.
  • Drive platform adoption and enablement across technical and non-technical users, ensuring Michelangelo lowers barriers to building and scaling AI applications.
  • Communicate product plans, progress, and results to internal stakeholders, customer teams, Uber executives, and external ML communities.

Desired Qualifications

  • Experience launching generative AI applications or agentic systems from conception through launch.
  • Strong technical background in AI/ML and deep understanding of one or more of agent evaluation and observation, agent runtime and execution, agent orchestration, memory and context management, agent governance and security, or foundation model pretraining, evaluation, and post-training.
  • Experience launching enterprise-grade agentic applications.
  • Experience building large-scale AI/ML/data infrastructure or platform products.
  • Experience 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.

About the Company

Uber

Connects people with rides, meals and groceries

Uber runs digital marketplaces that connect people seeking rides, meals and groceries with drivers, couriers and local merchants. Its Uber app includes private and shared rides, while Uber Eats lets customers order from restaurants and stores for delivery or pickup. The apps match requests with nearby service providers, handle payment and show trip or order progress, with revenue coming from service fees charged on transactions. Uber Freight connects businesses shipping goods with trucking companies and sells managed transportation services, extending the group's software beyond consumer trips. Founded in 2009, Uber is headquartered in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2009

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