Senior AI Product Manager at Prologis

Denver, Colorado, United States

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Logistics, Supply Chain, Real EstateIndustries

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

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