Manager, AI Product Management

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.

Job Title:

Manager, AI Product Management

Company:

Prologis

A day in the life

This role will own and advance the AI portfolio for Leasing, Legal, and Document Generation/Administration and turn BPMN‑modeled processes into high‑value document intelligence (retrieval + generation), agentic workflow automation, and leasing sales AI solutions. This role will design and drive solutions and adoption, Central AI supplies orchestration, evaluation, guardrails, and platform standards. You will play an integral part of our AI operating model that embeds AI leadership in business portfolios while aligning to centralized AI standards and platforms.

Key responsibilities include:

• Lead and mentor a team of IT Business Analysts, driving requirements gathering, process optimization, and solution alignment with business needs
• Run discovery with business leaders/SMEs; map processes (BPMN 2.0) across the leasing lifecycle, legal, and doc generation/repository flows.
• Identify opportunities across three pillars: document intelligence, agentic workflow automation, and leasing sales AI.
• Build a KPI‑tied and value measured AI use‑case backlog; define a portfolio investment thesis and quarterly priorities.
• From BPMN flows, select the right agent architecture based on task structure, uncertainty, and control needs.
• Author conceptual designs: user journeys, prompt/pattern libraries, retrieval strategies, tool/API integrations (e.g., CRM, DRS, CLM, e‑signature), HITL (human‑in‑the‑loop) guardrails, acceptance criteria, risks, and evaluation plans.
• For leasing sales: design AI‑assisted prospecting/qualification, outreach personalization, meeting/call summarization, next‑best‑action, and pipeline health insights.
• Present Problem Statement + Proposed Solution to Central AI for feasibility, standards, security, cost, and governance review; finalize scope (go/no‑go).
• Ensure initiatives adhere to platform/architecture standards and reuse components where possible.
• Act as Product Lead across multiple teams: roadmaps, backlogs, sprint goals, and SOWs; manage delivery risks and inter‑domain dependencies.
• Coordinate data access and design with D&A/Tech BAs; ensure builds conform to enterprise standards and privacy/PII controls.
• Pilot, iterate, and scale; drive change management, training, and communications with Leasing/Legal/Doc Gen stakeholders.
• Monitor adoption, quality, cost, latency, and safety; own business value realization vs. plan.
• Capture and publish patterns/playbooks for cross‑domain reuse; contribute requirements back to Central AI standards.

Building blocks for success

Required:

• Bachelor’s degree required.
• 10+ years in product management, business analysis, consulting, or similar; 3+ years leading multi‑team initiatives or portfolios.
• Expert BPMN/process modeling and process redesign; strong workshop facilitation.
• AI literacy across document intelligence and agentic workflows: prompts & evaluation basics, retrieval concepts and strategies, tool/function calling, vector DB fundamentals, HITL design, and agent patterns.
• Product leadership: backlog & roadmap ownership, MVP scoping, vendor management, agile delivery, stakeholder communication & prioritization.
• Domain fluency in leasing/legal/doc‑gen (contract templates & clauses, redlining/approval flows, repository, and retention).
• Demonstrated ability to operate independently with initiative, influence diverse stakeholders, and thrive in a high-performing, results-oriented culture.

Preferred:

• Systems: Salesforce, SharePoint, Icertis, DocuSign; Yardi/Oracle/PeopleSoft a plus.
• Exposure to orchestration frameworks (e.g., MCP‑style tool servers), evaluation harnesses/metrics, and cost/performance optimization (delivered with Central AI).
• Experience with OCR/parsing pipelines and content metadata/taxonomy governance.
• Real estate operations experience; comfort partnering with legal/compliance.
• Experience coordinating on/offshore vendor delivery.