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Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Senior Product Manager, AI & 3rd Party Products – JLL

What this job involves:

JLL manages real estate for some of the world's largest organizations, and a small product team is rebuilding how that work happens—replacing manual processes with AI-powered workflows and unified analytics. As Senior Product Manager for Occupancy Planning and Management (OPM) and Sustainability, you will own two data-intensive, high-stakes domains: how enterprises optimize their physical space and measure their environmental footprint. You will govern third-party platforms with the rigor of a first-party product owner, layer agentic AI capabilities on top of these systems, and make decisions that directly influence how JLL clients plan billions of dollars of real estate. This is real ownership with real scope—you will set the roadmap, write requirements, and be accountable for outcomes that shape JLL's future.

What your day-to-day will look like:

• 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

Required Qualifications:

• 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

Preferred Qualifications:

• Hands-on experience with Databricks, including text-to-SQL or NLQ patterns

• Experience with IBM Envizi or leading IWMS platforms such as Archibus, Planon, FM:Systems, or IBM TRIRIGA

• Familiarity with MCP (Model Context Protocol) architecture, LangChain, or agentic AI frameworks

• Background in ESG, decarbonization, or carbon accounting product domains

• Experience in large enterprise or professional services technology environments

This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation.

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If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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