At a Glance
- Tasks: Support AI products and enhance user experience across JLL's Enterprise AI team.
- Company: Join JLL, a leader in real estate and technology innovation.
- Benefits: Remote work, career growth opportunities, and a supportive culture.
- Other info: Be part of a dynamic team that values curiosity and continuous learning.
- Why this job: Shape the future of AI in real estate and make a meaningful impact.
- Qualifications: 2-4 years in product support and hands-on experience with generative AI tools.
The predicted salary is between 45000 - 55000 € per year.
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
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.
- 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.
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.
Location: Remote – London, GBR
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
Product Specialist — Enterprise AI in London employer: JLL
At JLL, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive in their careers. As a Product Specialist in our Enterprise AI team, you will have the opportunity to work remotely from London, collaborating with talented professionals while contributing to innovative AI solutions that enhance user experience across the organisation. We are committed to your growth, offering continuous learning opportunities and a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Product Specialist — Enterprise AI in London
✨Tip Number 1
Get to know JLL and their AI products inside out. Familiarise yourself with their tools like JLL GPT and Custom Assistants. This way, when you get the chance to chat with them, you can show off your knowledge and passion for AI!
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or join relevant online communities. Engaging with people who already work at JLL can give you insider tips and might even lead to a referral.
✨Tip Number 3
Prepare for interviews by practising common questions related to product support and AI. Think about how you can demonstrate your customer-first mindset and problem-solving skills through real-life examples.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the JLL team and shaping a brighter future together.
We think you need these skills to ace Product Specialist — Enterprise AI in London
Some tips for your application 🫡
Show Your Passion for AI:Let us see your enthusiasm for AI in your application! Share any relevant experiences or projects that highlight your curiosity and understanding of AI tools. This will help us know you're not just ticking boxes but genuinely excited about the role.
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with what we're looking for, so don’t hold back on showcasing your relevant expertise!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to communicate your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about JLL and what we stand for!
How to prepare for a job interview at JLL
✨Know Your AI Tools
Familiarise yourself with the generative AI tools mentioned in the job description, like JLL GPT and Custom Assistants. Be ready to discuss how you've used similar tools in the past and how they can enhance user experience.
✨Showcase Your Support Skills
Prepare examples that highlight your customer-first orientation and high-quality support delivery. Think of specific instances where you resolved issues or improved processes, as this will resonate well with their focus on product support and resolution.
✨Communicate Clearly
Practice translating technical jargon into layman's terms. Since the role requires interaction with both technical and non-technical audiences, demonstrating your ability to communicate effectively across different levels will be a big plus.
✨Emphasise Continuous Learning
Express your enthusiasm for AI and your commitment to continuous learning. Share any recent courses, webinars, or projects you've undertaken related to AI, as this aligns perfectly with their desire for someone who is curious and eager to grow.
