Senior Product Manager, AI & 3rd Party Products

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🕒 June 30

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• Own and prioritize the roadmap for OPM and Sustainability, translating stakeholder input and discovery findings into clear product direction that partner teams can execute against • Run discovery sessions with Sustainability Operations, implementation teams, and enterprise clients to surface workflow pain and validate product direction • Govern third-party platforms by managing configurations, tracking vendor roadmaps, running structured enhancement reviews, and defining where AI augmentation should extend native platform capabilities • Build AI prototypes in collaboration with engineering using LLM tooling and MCP integrations to validate use cases before committing to full builds • Write integration specs for data pipelines and API connections with sufficient technical depth to lead engineering conversations • Define KPIs and success metrics for every initiative and communicate outcomes clearly to product leadership and client stakeholders • Act as the connective tissue between OPM and Sustainability business teams and the data and engineering organization.

🎯 Requirements

• 5+ years of product management in enterprise B2B SaaS, with a track record of owning complex, integration-heavy platforms • Demonstrated experience working with data and application engineering teams to deliver features that drive end user value • Proven experience managing third-party product relationships including vendor governance, roadmap alignment, enhancement prioritization, and making buy/build decisions with product rigor • Hands-on AI product development experience defining agent use cases, working with LLM tooling, and distinguishing between demos and workflow-grade capabilities • Strong technical fluency across data models, integration architecture, REST APIs, and cloud data platforms (Azure, Databricks, or equivalent) • Clear, confident communication skills able to translate technical concepts for executive and client audiences • Comfortable working across data engineering, analytics, and product teams with ability to influence without owning every backlog.

🏖️ Benefits

• Discretionary bonuses • Benefits