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JLL

Product Specialist — Enterprise AI

London
Posted about 23 hours ago
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About The Role

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, this person shapes how AI products are understood, used, and improved at scale. The ideal candidate combines strong support instincts with genuine curiosity about AI — and sees every user interaction as a signal that can make the platform better.

What You'll Do

AI Product Support & Resolution:

  • Build and leverage AI tools including JLL GPT and Custom Assistants to accelerate diagnosis, response drafting, and case documentation
  • Build and maintain prompt libraries and AI-assisted workflows that reduce handle time and increase consistency

Adoption & User Enablement:

  • 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
  • Contribute directly to product metrics including adoption, NPS, and engagement alongside support SLAs

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Product Partnership & Continuous Improvement:

  • Translate user feedback and support patterns into enhancement requests and defect reports for Product and Engineering
  • Participate in UAT cycles with a focus on real-world usability, edge cases, and AI interaction quality
  • Maintain deep knowledge of supported AI products: functionality, roadmap, release cycles, integrations, and escalation protocols
  • Recommend process improvements that reduce ticket volume, improve resolution quality, and scale support through automation

Knowledge Management:

  • Build and maintain a knowledge base covering AI product functionality, common use cases, and support workflows
  • Use AI tools to keep documentation accurate, accessible, and useful as products evolve
  • Support custom reporting and data verification for ad hoc stakeholder requests

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What You Bring

Experience:

  • 2–4 years in product support, product operations, or a closely related role — enterprise platform experience preferred
  • Hands-on experience with generative AI tools, including prompt building and AI-assisted workflows — required
  • Exposure to large, matrixed organizations; experience navigating cross-functional stakeholders is a plus

Skills & Mindset:

  • Clear, confident communicator who can translate between technical and non-technical audiences at all levels
  • Customer-first orientation with documented examples of high-quality support delivery
  • Pattern recognition instincts — you notice what's generating tickets, not just close them
  • Self-directed and organized, comfortable managing competing priorities in a fast-moving environment
  • Enthusiastic about AI and committed to continuous learning as tooling evolves
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Skills

Product Support
AI Tools
User Experience
Customer Support
Documentation
Workflow Automation
Data Verification
Knowledge Management
Cross-Functional Collaboration
Generative AI
Prompt Building
Continuous Learning
Pattern Recognition
Engagement Metrics
User Enablement
Process Improvement

Location

London, England, United Kingdom

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