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Prologis

Owns, manages, develops logistics real estate

AI Technical Product Owner

Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 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 objectives and key results (OKRs) and key performance indicators (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.

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 return on investment.

Desired Qualifications

  • Experience supporting customer-facing digital platforms, customer portals, authenticated experiences, customer self-service, or service operations workflows.
  • Experience with enterprise platforms such as customer relationship management (CRM), Drupal content management system (CMS), digital asset management (DAM), service management, marketing technology, knowledge management, contract management, procurement, or vendor management systems.
  • Experience with Dataiku, Camunda, Business Process Model and Notation (BPMN) 2.0, Snowflake, Amazon Web Services (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.
  • Willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed, with sound judgment, creative thinking, and accountability for outcomes.

About the Company

Prologis

Owns, manages, develops logistics real estate

Prologis owns, manages, and develops industrial logistics properties worldwide as a REIT. It earns revenue by leasing modern logistics facilities to about 6,700 customers located near major transportation hubs and metropolitan areas to support global trade and e-commerce. The company differentiates itself with a large, strategically located portfolio and an integrated platform for ownership, development, and property management. Its goal is to provide essential logistics infrastructure that enables efficient supply chains while growing rental income and property value over time.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1983

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