AI Platform PM: Agentic Infra & Governance

Uber; United States; On-site; USD 190,000 - 211,000; Full time

Benefits offered by this job

Bonuses

Equity

401(k) plan

Benefits

Job summary

Uber is seeking an experienced AI Product Manager to own the long-term vision, strategy, and roadmap for Michelangelo’s agent platform. You will partner with ML engineers, data scientists, and software teams to shape how AI agents are built, evaluated, governed, and scaled across Uber.

This role requires strong technical depth, entrepreneurial drive, and a data-driven mindset to deliver high-impact AI/ML products and drive platform adoption across the organization.

Qualifications

• 5+ years of Product Management experience delivering AI/ML products.
• Strong data-driven decision making.
• Thrive in cross-functional environments and work backward from customer needs.
• High attention to detail with ability to manage multiple priorities.
• Strong written and verbal communication skills.

Responsibilities

• Collaborate with ML engineers, data scientists, software engineers, and others to understand AI use cases and gather requirements.
• Set qualitative objectives and quantitative goals; drive execution with engineering, TPM, and design teams.
• Manage internal and external stakeholders and make tradeoffs based on technical and business insights.
• Monitor launched products and feed insights back to inform development.
• Drive platform adoption and enablement across technical and non-technical users.
• Communicate product plans and results to stakeholders, executives, and ML communities.

Skills

PM experience

Data-driven decisions

Cross-functional teamwork

Attention to detail

Strong communication

Education

CS/DS or Engineering degree

Job description

Uber is seeking an experienced AI Product Manager to own the long-term vision, strategy, and roadmap for Michelangelo’s agent platform. You will partner with ML engineers, data scientists, and software teams to shape how AI agents are built, evaluated, governed, and scaled across Uber.

This role requires strong technical depth, entrepreneurial drive, and a data-driven mindset to deliver high-impact AI/ML products and drive platform adoption across the organization.