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, competitive salary, and opportunities for career growth.
- Other info: Dynamic remote role with a focus on continuous learning and improvement.
- Why this job: Be at the forefront of AI adoption and make a real impact.
- Qualifications: 2-4 years in product support and hands-on experience with generative AI tools.
The predicted salary is between 72000 - 88000 £ 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: Jones Lang Lasalle
At JLL, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through tailored career development opportunities and the chance to work alongside industry experts in the heart of Birmingham and London. Join us to be part of a forward-thinking team that values your contributions and empowers you to make a meaningful impact in the real estate sector.
StudySmarter Expert Advice🤫
We think this is how you could land Product Specialist — Enterprise AI in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Jones Lang Lasalle!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Jones Lang Lasalle would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Jones Lang Lasalle through your school's career services!
We think you need these skills to ace Product Specialist — Enterprise AI in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Specialist — Enterprise AI, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Specialist — Enterprise AI position at Jones Lang Lasalle. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Jones Lang Lasalle
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
