Senior AI Product Manager

Overview

Lead Central AI product strategy, standards, and enterprise AI solutions.

Key Responsibilities

• community lead
• standards governance
• change management
• ai platform
• backlog management
• roadmap execution

Tasks

-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. -Operate the AI Product Management Office: Define and enforce standards, playbooks, evaluation/approval processes, and best practices for AI product management across IT. -Champion Adoption & Change: Lead change management, communications, and training to ensure value realization across IT and AI organizations. -Drive Enterprise-wide AI Initiatives: Partner with Central AI engineers, platform teams, and governance to deliver scalable, reusable, and safe AI solutions. -Act as Product Leader: Own backlog, roadmaps, and vendor delivery; manage risks, dependencies, and cross-functional alignment. -Deliver Strategic AI Products: Own the roadmap and execution for AI solutions that transform business, IT and AI operations, such as:

Requirements

• product management
• ai automation
• vector dbs
• orchestration
• bpmn
• change management

What You Bring

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

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About Prologis

-Provides prime distribution centers and warehouses for industries like retail, e-commerce, automotive, and technology. -Focuses on designing and managing large-scale logistics facilities that support global supply chains. -Leverages innovative technologies to optimize warehouse operations and drive efficiency for tenants. -Expands its footprint through strategic acquisitions in key logistics hubs worldwide. -Develops sustainable and adaptable logistics environments for future growth. -Known for quickly adapting to changing market demands, ensuring resilience in operations.

Sector Specialisms

Security Clearance

-all job offers are contingent upon successful completion of background verification.