Senior Product Manager, AI in London

Senior Product Manager, AI in London

London Full-Time 80000 - 100000 € / year (est.) No home office possible
London Stock Exchange Group

At a Glance

  • Tasks: Join us to co-develop cutting-edge AI products and drive innovation in complex environments.
  • Company: Be part of LSEG, a global leader in financial markets and data solutions.
  • Benefits: Enjoy tailored benefits, healthcare, retirement planning, and paid volunteering days.
  • Other info: Collaborative culture that values individuality and encourages new ideas.
  • Why this job: Make a real impact by shaping the future of AI technology and product development.
  • Qualifications: 7+ years in software or ML engineering with hands-on experience in AI product development.

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.

QUALIFICATIONS & EXPERIENCE

  • 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.

Career Stage: Manager

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 in London employer: London Stock Exchange Group

At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored benefits, including healthcare and retirement planning, as well as opportunities for volunteering and community engagement. Join us in London, where your individuality is valued, and you can contribute to meaningful projects that drive financial stability and sustainable growth.

London Stock Exchange Group

Contact Detail:

London Stock Exchange Group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Manager, AI in London

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those already working at LSEG. A friendly chat can open doors and give you insider info on the role.

Tip Number 2

Prepare for interviews by diving deep into AI product management. Brush up on your knowledge of LLMs and agentic frameworks, and be ready to discuss how you've tackled similar challenges in the past.

Tip Number 3

Showcase your hands-on experience! Be ready to share specific examples of products or features you've built, especially those that highlight your technical depth and product ownership.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Senior Product Manager, AI in London

AI Product Development
Large Language Models (LLMs)
Agentic Frameworks
Product Requirements Definition
Performance Metrics Monitoring
System Optimisation
Python Programming

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission of building innovative AI systems. Share specific examples of projects you've worked on that demonstrate your hands-on experience with LLMs and agentic frameworks.

Be Clear and Concise:We appreciate clarity in applications. Make sure to articulate your product management experience and technical skills without jargon overload. Use straightforward language to describe your contributions to past projects, especially those involving complex, data-intensive environments.

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to highlight how your skills and experiences match the role of Senior Product Manager, AI. Mention specific responsibilities from the job description and explain how you can contribute to our team.

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 it gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!

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.

Prepare for Product Lifecycle Questions

Since this role involves contributing to the full AI product lifecycle, be prepared to talk about your experience in discovery, requirements definition, development, testing, and deployment. Think of specific examples where you’ve successfully navigated these stages and how you tackled challenges along the way.

Metrics Matter

Understand the key performance metrics relevant to AI products, such as accuracy, latency, and cost. Be ready to discuss how you’ve defined and monitored these metrics in past projects. This will demonstrate your ability to ensure that AI outputs meet quality and compliance standards.

Show Your Collaborative Spirit

This role requires working across technical and commercial stakeholders, so highlight your experience in translating complex product decisions for different audiences. Share examples of how you’ve collaborated with cross-functional teams to deliver successful AI capabilities, showcasing your communication skills and teamwork.