About The Position

The Product Specialist is an embedded expert within JLL's Enterprise AI team, supporting AI products and platforms that serve the entire organization. This role sits at the intersection of user experience, product quality, and AI adoption—helping employees across every business line get real value from JLL's AI tools. Beyond resolving issues, you will shape how AI products are understood, used, and improved at scale. This position combines strong support instincts with genuine curiosity about AI, treating every user interaction as a signal that can make the platform better and drive JLL's innovation forward.

Requirements

  • 2–4 years in product support, product operations, or a closely related role
  • Hands-on experience with generative AI tools, including prompt building and AI-assisted workflows
  • Clear, confident communication skills with ability to translate between technical and non-technical audiences at all levels
  • Customer-first orientation with documented examples of high-quality support delivery
  • Self-directed and organized, comfortable managing competing priorities in a fast-moving environment

Nice To Haves

  • Enterprise platform experience in large, matrixed organizations
  • Experience navigating cross-functional stakeholders
  • Pattern recognition instincts—ability to notice what's generating tickets, not just close them
  • Enthusiasm about AI and commitment to continuous learning as tooling evolves
  • Experience maintaining prompt libraries and AI-assisted workflows
  • Familiarity with product metrics including adoption, NPS, and engagement alongside support SLAs

Responsibilities

  • Build and leverage AI tools including JLL GPT and Custom Assistants to accelerate diagnosis, response drafting, and case documentation
  • Create user guides, onboarding materials, and self-service resources reflecting current AI capabilities
  • Act as a frontline champion for AI adoption, supporting engagement communities and the AI Champions network
  • Translate user feedback and support patterns into enhancement requests and defect reports for Product and Engineering teams
  • Participate in UAT cycles with a focus on real-world usability, edge cases, and AI interaction quality
  • Build and maintain a knowledge base covering AI product functionality, common use cases, and support workflows
  • Support custom reporting and data verification for ad hoc stakeholder requests

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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