AI Product Owner: AI-Driven Ops & Experience

Prologis; San Francisco (CA); On-site; USD 166,000 - 228,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) match

Paid time off

Job summary

Prologis seeks an AI Technical Product Owner to turn AI opportunities into practical capabilities that enhance digital experiences, self-service, and enterprise workflows. You will define product outcomes, prioritize use cases, manage backlogs, and drive adoption across internal teams and partners.

You will collaborate with AI/ML engineers, platform owners, and delivery teams from discovery through launch, focusing on scalable AI patterns and measurable business impact.

Qualifications

• 5+ years of experience in product management, ownership, or related roles.
• Experience turning business needs into AI-enabled product requirements and roadmaps.
• Ability to translate insights into user stories, acceptance criteria, and success metrics.
• Experience with Agile delivery, backlog & release planning and stakeholder feedback.

Responsibilities

• Identify, prioritize AI and automation opportunities across multiple domains.
• Define product vision, success metrics, adoption objectives, and outcomes.
• Develop business cases, value hypotheses, and prioritization criteria.
• Own prioritized backlogs including epics, user stories, and release priorities.
• Collaborate with AI engineers, platform teams, and delivery partners through all phases.
• Lead stakeholder workshops and research to validate use cases and translate insights.

Skills

Product management

Stakeholder management

Agile delivery

SQL / Python

OKRs & KPIs

Change management

Tools

Dataiku

Snowflake

AWS

Camunda

BPMN 2.0

Job description

Prologis seeks an AI Technical Product Owner to turn AI opportunities into practical capabilities that enhance digital experiences, self-service, and enterprise workflows. You will define product outcomes, prioritize use cases, manage backlogs, and drive adoption across internal teams and partners.

You will collaborate with AI/ML engineers, platform owners, and delivery teams from discovery through launch, focusing on scalable AI patterns and measurable business impact.