AI Product Manager — Warehouse Ops & ML Solutions

Procter & Gamble; United States; On-site; USD 110,000 - 165,000; Full time

Job summary

Procter & Gamble in Cincinnati is seeking a Senior AI Product Manager to define vision, roadmap, and success metrics for AI-driven products. You will identify high-impact use cases, ensure responsible AI, and align stakeholders across the organization.

You will own end-to-end AI product lifecycle with cross-functional teams, define requirements from discovery to delivery, and manage data/model lifecycles. Mobility and relocation opportunities may be part of the role, with a focus on delivering

Qualifications

• Product management experience delivering data-driven or AI/ML-enabled products/features with measurable business outcomes.
• Technical background and depth (e.g., engineering, data science, or analytics).
• Demonstrated ability to learn new technologies quickly and apply them pragmatically to product decisions.
• Experience working with cross-functional teams in Agile/Scrum environments.
• Communication: ability to explain complex AI topics to both technical and non-technical audiences.

Responsibilities

• Own end-to-end AI product lifecycle execution with cross-functional teams.
• Define problems, requirements, and success metrics from discovery through delivery.
• Manage data/model lifecycle from build to deploy, monitor, and improve.
• Measure impact through experimentation and performance tracking and iterate continuously.

Skills

Product management experience

Technical background

Ability to learn new technologies

Cross-functional teamwork (Agile/Scrum

Communication to technical/non-technic

Job description

Procter & Gamble in Cincinnati is seeking a Senior AI Product Manager to define vision, roadmap, and success metrics for AI-driven products. You will identify high-impact use cases, ensure responsible AI, and align stakeholders across the organization.

You will own end-to-end AI product lifecycle with cross-functional teams, define requirements from discovery to delivery, and manage data/model lifecycles. Mobility and relocation opportunities may be part of the role, with a focus on delivering