AI Product Owner

Prologis•Denver, CO

4d•$166,000 - $228,000•Hybrid

About The Position

The AI Product Owner helps turn AI opportunities into practical capabilities that improve digital experiences, customer self-service, support operations, vendor management, and enterprise workflows. This role connects business objectives with AI-enabled solutions by defining product outcomes, prioritizing use cases, managing delivery backlogs, and supporting adoption. They partner with business stakeholders, AI Automation Engineers, AI/ML Engineers, platform owners, and delivery teams from discovery through launch and continuous improvement. The role adds value by helping Prologis scale reusable AI patterns that reduce manual effort and create measurable customer, employee, and operational outcomes.

Requirements

5+ years of experience in product management, product ownership, business analysis, digital strategy, process improvement, customer experience, or a related role.
Experience supporting cross-functional technology initiatives from discovery through launch, adoption, measurement, and continuous improvement.
Ability to translate business needs, customer pain points, operational workflows, and research insights into product requirements, user stories, acceptance criteria, success metrics, and measurable outcomes.
Experience using Agile delivery methods, backlog management, release planning, iterative delivery, and stakeholder feedback loops.
Ability to define OKRs and KPIs, validate value hypotheses, measure adoption, and track business outcomes for AI initiatives.
Ability to use SQL, Python, business intelligence tools, or similar data analysis tools to explore data.
Ability to independently create and iterate functional prototypes using AI-assisted development tools to support experimentation, business validation, and product discovery.
Experience working with technical teams to deliver digital products, workflow automation, enterprise applications, data-driven capabilities, or AI-enabled solutions.
Stakeholder management, facilitation, communication, analytical problem-solving, and change management skills.

Nice To Haves

Experience supporting customer-facing digital platforms, customer portals, authenticated experiences, customer self-service, or service operations workflows.
Experience with enterprise platforms such as CRM, Drupal CMS, DAM, service management, marketing technology, knowledge management, contract management, procurement, or vendor management systems.
Experience with Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process management, and automation technologies.
Experience applying AI solution patterns such as retrieval-augmented generation, text-to-SQL, semantic data models, AI agents, copilots, prompt libraries, human-in-the-loop workflows, guardrails, and evaluation frameworks.
Experience managing AI use-case portfolios, product roadmaps, investment prioritization, responsible AI practices, governance, privacy, security, model monitoring, or enterprise risk management.
Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.

Responsibilities

Identify, assess, and prioritize AI and automation opportunities across customer engagement, operational enablement, vendor management, procurement workflows, and enterprise technology processes.
Define product vision, scope, user needs, success metrics, adoption objectives, and measurable business outcomes for prioritized AI initiatives.
Develop business cases, value hypotheses, and prioritization criteria using customer impact, business value, feasibility, risk, effort, data readiness, adoption readiness, and strategic alignment.
Own prioritized product backlogs, including epics, user stories, acceptance criteria, dependencies, release priorities, and success measures.
Partner with AI Automation Engineers, AI/ML Engineers, platform teams, and delivery partners through discovery, prototyping, build, testing, launch, adoption, and continuous improvement.
Facilitate stakeholder workshops, workflow assessments, interviews, user research, and independent research to validate use cases, resolve tradeoffs, and translate insights into clear product requirements.
Drive responsible adoption and performance measurement through governance alignment, launch planning, training, documentation, communications, change management, and reporting on adoption, productivity, customer satisfaction, operational savings, cycle time, and ROI.