Senior Product Manager at JLL managing AI-powered workflows and product roadmaps for Sustainability. Leading initiatives for enterprise space optimization and environmental impact measurement.
Responsibilities
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.
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