At a Glance
- Tasks: Lead the development of innovative AI products from concept to deployment.
- Company: Join a dynamic team at a leading global financial markets infrastructure provider.
- Benefits: Enjoy competitive pay, healthcare, retirement planning, and paid volunteering days.
- Other info: Be part of a culture that values innovation, integrity, and sustainability.
- Why this job: Make a real impact in the evolving AI landscape while collaborating with diverse teams.
- Qualifications: 7+ years in software or ML engineering with hands-on AI product experience.
The predicted salary is between 80000 - 100000 € per year.
We are looking for a hands-on AI Product Co-Developer to join our team building production-grade agentic AI systems for complex, data-intensive environments. This is a hybrid role sitting at the intersection of product thinking and engineering depth — you will both define what gets built and actively build it, working across the full lifecycle from discovery and requirements through to deployment and iteration.
ROLE RESPONSIBILITIES & KEY ACCOUNTABILITIES- Contribute to the full AI product lifecycle: discovery, requirements definition, development, testing, and deployment
- Design, build, and iterate on LLM-powered agentic workflows for complex, data-intensive use cases, applying sound orchestration patterns and tool-use design
- Translate business and user needs into clear, actionable product requirements and agent configurations
- Define and monitor product performance metrics and acceptance criteria for AI outputs in production — covering accuracy, latency, cost, and auditability
- Manage the post-launch product lifecycle: track performance, gather user feedback, and contribute to model or feature refresh cycles
- Contribute to system optimisation across performance, cost, and operational constraints
- Collaborate with governance teams to ensure AI outputs meet internal quality, compliance, and interoperability standards
- Maintain a forward-looking view on the evolving AI landscape — including model capabilities, agentic frameworks, and emerging protocol standards — and translate relevant developments into product opportunities
- Engage with internal stakeholders and cross-functional teams to support successful delivery of AI capabilities
- Support demos and presentations of prototypes and new capabilities to internal and external audiences
- Build and share expertise in AI product design and agentic workflows across engineering, product, and domain teams
- 7+ years of experience spanning software or ML engineering and product development, or a closely related combination — we value technical depth and product ownership in equal measure
- Demonstrated hands-on experience building with LLMs and/or agentic frameworks — shipped products or features preferred over academic work
- Working knowledge of how large language models and agentic systems behave in production - including tool use, prompt design, orchestration patterns, output variability, and failure modes
- Ability to write clear product requirements and define, review, and challenge technical specifications without requiring engineering support
- Experience evaluating and testing AI outputs — defining acceptance criteria, identifying edge cases, and working with engineering teams to resolve model or integration issues
- Solid Python skills and familiarity with APIs, data pipelines, and cloud infrastructure
- Experience with real-time or near-real-time data systems, with a natural sensitivity to latency, throughput, and cost trade-offs
- Familiarity with responsible AI principles — including data quality, model performance monitoring, and bias considerations — and their implications for product design in regulated environments
- Comfortable working across technical and commercial stakeholders — able to translate product decisions clearly for engineering teams and client-facing audiences alike
- Exposure to AI partner platforms or ecosystems in a product, technical, or commercial capacity is an advantage
- BA, BS, or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Senior Product Manager, AI employer: London Stock Exchange Group
At LSEG, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Senior Product Manager in AI, you'll have the opportunity to shape cutting-edge AI solutions while benefiting from our commitment to employee growth, comprehensive healthcare, and a culture that values integrity and excellence. Join us in London, where your contributions will not only drive financial stability but also empower sustainable growth across global markets.
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager, AI
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with AI and product management. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching the company’s recent projects and challenges. Tailor your answers to show how your experience aligns with their needs, especially in AI product development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Product Manager, AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Product Manager, AI role. Highlight your hands-on experience with LLMs and product development to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a perfect fit for this role. Be genuine and let your personality shine through!
Showcase Your Achievements:Don’t just list your responsibilities; share specific achievements that demonstrate your impact in previous roles. Numbers and outcomes speak volumes, so include them where possible!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and agentic frameworks. Be ready to discuss your hands-on experience with these technologies, as well as how they behave in production. This will show that you’re not just familiar with the theory but have practical insights to share.
✨Showcase Your Product Management Skills
Prepare to talk about your experience in the full product lifecycle. Highlight specific examples where you've defined requirements, built products, and iterated based on user feedback. This will demonstrate your ability to manage both the technical and commercial aspects of product development.
✨Be Data-Driven
Familiarise yourself with performance metrics relevant to AI outputs, such as accuracy and latency. Be prepared to discuss how you’ve defined acceptance criteria in past projects and how you’ve tackled issues like output variability. This shows you understand the importance of data in product management.
✨Communicate Clearly
Practice translating complex technical concepts into clear, actionable insights for non-technical stakeholders. You might be asked to explain your product decisions to both engineering teams and client-facing audiences, so being able to communicate effectively is key to success in this role.