Senior Product Manager, AI & 3rd Party Products

Jones Lang LaSalle Incorporated

Toronto

On-site

CAD 120,000 - 150,000

Full time

5 days ago
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Job summary

Jones Lang LaSalle Incorporated in Canada seeks a Senior Product Manager for AI & 3rd party products to own the roadmap for Occupancy Planning and Sustainability and govern external platforms. You will lead AI prototype work with engineering, and translate stakeholder needs into actionable requirements for enterprise clients.

Requirements include 5+ years in enterprise B2B SaaS product management, data/API fluency, and vendor governance with AI-enabled workflows.

Qualifications

  • 5+ years in enterprise B2B SaaS product management.
  • Experience working with data and application engineering teams.
  • Vendor governance and buy/build decision experience.
  • AI product development experience with LLM tooling.
  • Fluent with data models, integration architecture, REST APIs and cloud platforms.

Responsibilities

  • Own and prioritize the roadmap for OPM and Sustainability, translating input into direction.
  • Lead discovery sessions with stakeholders and clients to surface workflow pain.
  • Govern third‑party platforms, track roadmaps, and define AI augmentation boundaries.
  • Collaborate with engineering to build AI prototypes and validate use cases.
  • Write integration specs for data pipelines and API connections.
  • Define KPIs and communicate outcomes to leadership and clients.

Skills

Product management
Enterprise SaaS
Data & integration
AI product development
REST APIs
Cloud data platforms

Tools

Databricks
LangChain
MCP architecture

Job description

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

Estimated compensation for this position: 120,300.00 – 150,400.00 CAD per year

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.

Location: Remote –Toronto, ON

Opening Type: Replacement

Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.

If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page.

For further information, visit jll.com.

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