At a Glance
- Tasks: Join us to develop cutting-edge AI products and workflows in a dynamic environment.
- Company: Innovative tech firm focused on AI solutions and collaborative teamwork.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Engage with cross-functional teams and stay ahead in the evolving AI landscape.
- Why this job: Be at the forefront of AI technology and make a real impact on product development.
- Qualifications: 7+ years in software or ML engineering with strong Python skills and product management experience.
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 in London employer: London Stock Exchange
Join a forward-thinking company that values innovation and collaboration, where as a Senior AI Product Manager, you will have the opportunity to shape cutting-edge AI solutions in a dynamic hybrid work environment. With a strong emphasis on employee growth, we offer continuous learning opportunities and a culture that encourages creativity and technical excellence, making it an ideal place for those passionate about advancing AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Product Manager in London
✨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 LLMs and agentic frameworks. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by practising common questions related to AI product management. Think about how you can demonstrate your hands-on experience and technical depth.
✨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 love seeing candidates who are proactive!
We think you need these skills to ace Senior AI Product Manager in London
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 taken ownership of products and what technical depth you bring to the table.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to describe your hands-on experience with LLMs and agentic frameworks. We appreciate a well-structured application that gets straight to the point.
Demonstrate Your Technical Skills:Don’t forget to showcase your solid Python skills and familiarity with APIs and data pipelines. We’re looking for someone who can not only define product requirements but also understand the technical specs without needing constant engineering support.
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 during the process!
How to prepare for a job interview at London Stock Exchange
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around large language models and agentic frameworks. Be ready to discuss your hands-on experience and any products or features you've shipped. This is your chance to show off your expertise!
✨Speak Their Language
Familiarise yourself with the specific terminology used in AI product management. When discussing product requirements or technical specifications, use clear and concise language that resonates with both technical and commercial stakeholders. This will help you communicate effectively during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've evaluated and tested AI outputs in the past. Think about edge cases you've identified and how you worked with engineering teams to resolve issues. This will demonstrate your ability to handle real-world challenges in AI product development.
✨Stay Ahead of the Curve
Keep yourself updated on the latest trends and developments in the AI landscape. Be ready to discuss how emerging technologies could impact product opportunities. Showing that you're forward-thinking will impress interviewers and highlight your passion for the field.
