Senior Product Manager, AI Platform (michelangelo)

Uber Uber · Consumer · Seattle, WA +2 · Product

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.

What you'd actually do

  1. Set qualitative objectives and quantitative goals, define product requirements, and drive execution with the AI Platform Engineering, TPM, and UX design teams.
  2. Internal and external stakeholder management, and make tradeoff decisions based on technical and business insights.
  3. Monitor and measure launched products and feed insights back into the product development process to drive growth.
  4. Drive platform adoption and enablement across technical and non-technical users, ensuring Michelangelo lowers the barrier to building and scaling AI, especially Gen AI, applications.
  5. Clearly communicate product plans, progress, and results to a spectrum of audiences, from internal stakeholders to customer teams, Uber executives, and external ML communities.

Skills

Required

  • Product Management experience
  • analytical skills
  • data-driven decision-making
  • computer science, data science, or other engineering degree equivalent
  • cross-functional environments
  • attention to detail
  • manage multiple, competing priorities
  • communication skills

Nice to have

  • technical background in the AI/ML space
  • building large-scale AI/ML infra or platform products
  • MLOps
  • AgentOps
  • ML/Data platforms (AWS Sagemaker, GCP Vertex AI, Databricks)
  • AI model providers (OpenAI, Anthropic)
  • driving platform adoption
  • managing open-source projects and communities

What the JD emphasized

  • delivering highly successful AI products
  • Experience launching Gen AI applications or agentic systems, from initial conception to launch, is highly preferred
  • strong technical depth
  • AI/ML platform products
  • AgentOps

Other signals

  • AI platform
  • Michelangelo
  • Generative AI/Agentic applications
  • ML developer experience
  • scale