Senior AI Product Manager at Prologis

Denver, Colorado, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Logistics, Supply Chain, Real EstateIndustries

Requirements

8–12 years overall in product management, consulting, or digital/AI solutions
3–5 years designing and leading AI or automation products, with evidence of shaping standards or operating models
Proven experience leading enterprise-scale AI or automation solutions
Expert BPMN/process modeling and process redesign; strong workshop facilitation
Product Management Leadership: Strong experience in backlog/roadmap ownership, agile delivery/MVP scoping, vendor management, and cross-functional collaboration
AI Fluency: Deep understanding of agentic automation, retrieval/grounding (RAG), evaluation, safety guardrails, prompt/pattern design, tool/function calling, vector DB fundamentals, HITL design, and agent patterns
Influence Without Authority: Proven ability to lead standards, communities, and practices across dotted-line or federated organizations and product management offices
Strategic Thinking: Experience balancing innovation with compliance, risk, and enterprise standards
Change Management: Ability to drive adoption, training, and measurable rollout across diverse stakeholder groups
Preferred
Familiarity with vector DBs/embeddings, OCR/parsing, orchestration frameworks, and evaluation tooling
Exposure to orchestration frameworks (e.g., MCP‑style toolservers), evaluation harnesses/metrics, and cost/performance optimization
Experience coordinating on/offshore vendor delivery

Responsibilities

Operate the AI Product Management Office: Define and enforce standards, playbooks, evaluation/approval processes, and best practices for AI product management across IT
Lead the AI Product Manager Community: Build and facilitate a community of practice across federated AI PMs, driving alignment, peer reviews, mentorship, and shared learning
Deliver Strategic AI Products: Own the roadmap and execution for AI solutions that transform business, IT and AI operations, such as strategic business operations agents, QA/testing agents, project/program management agents, vendor management agents, and additional AI solutions that enhance IT delivery and AI function performance
Drive Enterprise-wide AI Initiatives: Partner with Central AI engineers, platform teams, and governance to deliver scalable, reusable, and safe AI solutions
Champion Adoption & Change: Lead change management, communications, and training to ensure value realization across IT and AI organizations
Act as Product Leader: Own backlog, roadmaps, and vendor delivery; manage risks, dependencies, and cross-functional alignment

Skills

Key technologies and capabilities for this role

AI Product ManagementMachine LearningProduct RoadmapData AnalyticsLeadershipAI StandardsPlaybooksCommunity BuildingPeer ReviewsMentorshipStrategic Planning

Questions & Answers

Common questions about this position

What experience is required for the Senior AI Product Manager role?

Candidates need 8–12 years overall in product management, consulting, or digital/AI solutions, plus 3–5 years designing and leading AI or automation products with evidence of shaping standards or operating models, proven experience leading enterprise-scale AI solutions, expert BPMN/process modeling and process redesign, strong workshop facilitation, and strong product management leadership.

What are the key responsibilities of this position?

Key responsibilities include operating the AI Product Management Office by defining standards and best practices, leading the AI Product Manager Community, delivering strategic AI products like business operations agents, driving enterprise-wide AI initiatives, championing adoption and change, and acting as a product leader owning backlogs and roadmaps.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

Where does this role sit within the company structure?

The role is on the Central AI team within Prologis’ Data & Analytics organization, reporting to the Manager of AI/ML Engineering, and operates directly in Central AI unlike embedded AI PMs in vertical IT teams.