At a Glance
- Tasks: Lead the development of cutting-edge AI products and workflows in a dynamic environment.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Hybrid role offering a blend of product management and engineering responsibilities.
- Why this job: Shape the future of AI while collaborating with talented teams on impactful projects.
- 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.
Requirements
- 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.
What the job involves
- 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.
- 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.
Senior AI Product Manager employer: London Stock Exchange
The London Stock Exchange is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, all while being part of a prestigious institution located in the heart of London. Our inclusive culture values diverse perspectives, ensuring that every team member can contribute meaningfully to our mission of driving brand impact and achieving outstanding results.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI product management. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience.
✨Tip Number 3
Showcase your projects! Whether it’s a portfolio or a GitHub repo, having tangible examples of your work with LLMs and agentic frameworks can really set you apart. We love seeing hands-on experience!
✨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, we’re always looking for passionate individuals to join our team!
We think you need these skills to ace Senior AI Product Manager
Some tips for your application 🫡
Show Your Experience:Make sure to highlight your 7+ years of experience in software or ML engineering and product development. We want to see how you've combined technical depth with product ownership, so don’t hold back on those details!
Be Specific About Your Skills:When discussing your hands-on experience with LLMs and agentic frameworks, share specific examples of products or features you've shipped. We love seeing real-world applications over academic work, so let us know what you've built!
Clear Product Requirements Matter:Demonstrate your ability to write clear product requirements and challenge technical specs. We’re looking for someone who can communicate effectively across teams, so make sure your application reflects that skill.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at London Stock Exchange
✨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, especially any products or features you've shipped. This will show that you not only understand the theory but also how to apply it in real-world scenarios.
✨Speak Their Language
Since this role involves working across technical and commercial stakeholders, practice translating complex technical concepts into simple terms. Prepare examples of how you've successfully communicated product decisions to both engineering teams and client-facing audiences. This will demonstrate your ability to bridge the gap between tech and business.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific instances where you've evaluated and tested AI outputs. Highlight how you defined acceptance criteria, identified edge cases, and collaborated with engineering teams to resolve issues. This will illustrate your hands-on approach and your ability to tackle challenges head-on.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in AI and responsible AI principles. Be prepared to discuss how these developments can impact product design, especially in regulated environments. Showing that you're forward-thinking will impress interviewers and demonstrate your commitment to continuous learning.
