At a Glance
- Tasks: Lead the development of AI products that enhance financial stability and performance.
- Company: Join the London Stock Exchange Group, a leader in financial innovation.
- Benefits: Competitive salary, growth opportunities, and a dynamic team environment.
- Other info: Be part of a forward-thinking team dedicated to excellence and innovation.
- Why this job: Make a real impact in finance with cutting-edge AI technology.
- Qualifications: 7+ years in product management, strong software engineering skills, and LLM experience.
The predicted salary is between 80000 - 120000 € per year.
London Stock Exchange Group is looking for a Senior Product Manager to help build AI products that drive financial stability. You will contribute to the full lifecycle of product development, from discovery to deployment, ensuring quality and performance in production environments.
The ideal candidate has over 7 years of experience, with strong skills in software engineering and a background in working with LLMs. The position offers growth in a dynamic team committed to innovation and excellence.
AI Product Manager - Hands-On, Agentic Systems employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our dynamic team offers ample opportunities for professional growth, allowing you to make a meaningful impact in the financial sector while working with cutting-edge AI technologies. Located in the heart of London, we provide a vibrant work environment that values excellence and encourages creativity, making it an ideal place for passionate individuals looking to advance their careers.
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager - Hands-On, Agentic Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at the London Stock Exchange Group. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience with AI products and LLMs. We want to see how you've tackled challenges and driven results in your previous roles.
✨Tip Number 3
Ace the interview prep! Research common questions for AI Product Managers and practice your responses. We recommend using the STAR method to structure your answers and demonstrate your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our innovative team at the London Stock Exchange Group.
We think you need these skills to ace AI Product Manager - Hands-On, Agentic Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI product management and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about building AI products and how your background with LLMs makes you a perfect fit for our team. Let us feel your enthusiasm!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in product development. We love seeing candidates who can think on their feet and drive innovation, so share those success stories with us!
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 don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI products, especially those related to financial stability. Be ready to discuss your experience with large language models (LLMs) and how they can be applied in real-world scenarios.
✨Showcase Your Product Lifecycle Expertise
Prepare to talk about your experience across the full product lifecycle. Highlight specific projects where you contributed from discovery to deployment, and be ready to discuss the challenges you faced and how you overcame them.
✨Demonstrate Your Technical Skills
Since the role requires strong software engineering skills, be prepared to discuss your technical background. Bring examples of how you've used these skills in previous roles, particularly in developing AI products.
✨Emphasise Team Collaboration
This position is all about working within a dynamic team. Share examples of how you've successfully collaborated with cross-functional teams in the past, and how you foster innovation and excellence in your work.
