Product Owner II at World Education Services leading Salesforce enhancements and operations. Focused on driving improvements, Agile execution, and stakeholder collaboration.
JI
Senior Product Manager, AI & 3rd Party Products
Posted 4 days ago
About the role
- 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.
Benefits
- Discretionary bonuses
- Benefits
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