At a Glance
- Tasks: Lead the strategy and delivery of LSEG's AI Core Platform for innovative AI products.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to innovation and responsible AI.
- Why this job: Shape the future of AI while collaborating with top tech minds.
- Qualifications: Degree in Computer Science or related field; experience in product management required.
The predicted salary is between 60000 - 75000 £ per year.
Role Summary
As part of LSEG Enterprise AI, we are hiring a Senior Product Manager – AI Core Platform to define and drive the strategy, roadmap and delivery of the foundational platform capabilities that enable secure, scalable and governed AI expansion across the LSEG product portfolio.
This will empower engineering teams to rapidly build AI‑powered products on a common enterprise platform and ensure a market‑leading AI experience for LSEG’s customers.
- What You’ll Be Doing
- Define the vision, strategy and roadmap for LSEG’s AI Core Platform.
- Own product direction for enterprise AI platform capabilities including AI Gateway, MCP SDK, IAM, orchestration, scale and shared platform services.
- Partner with Engineering to deliver secure, scalable and highly available platform capabilities.
- Establish platform standards, APIs and reusable services that accelerate AI product development across LSEG.
- Drive enterprise adoption of common AI infrastructure and developer tooling.
- Collaborate with Security, Architecture, Governance and Risk teams to ensure compliance with enterprise policies and Responsible AI standards.
- Work closely with product teams across LSEG to understand platform requirements and prioritise roadmap investments.
- Define success metrics and monitor platform adoption, operational performance and developer experience.
- Engage with strategic technology partners and cloud providers to shape platform capabilities and leverage emerging AI technologies.
- Contribute to LSEG’s long‑term Enterprise AI strategy by delivering foundational capabilities that support innovation at scale.
- What You’ll Bring
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or equivalent experience.
- Strong understanding of AI platforms, LLM ecosystems, MCP Servers, API gateways, orchestration frameworks and enterprise security.
- Significant experience in Product Management, Platform Product Management or Developer Platform products.
- Experience delivering enterprise software platforms, APIs or cloud‑native services.
- Demonstrated ability to lead cross‑functional teams and influence senior stakeholders.
- Preferred
- Exposure to financial data, analytics systems and enterprise‑scale data workflows.
- Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks.
- Ability to drive cross‑functional alignment and establish group‑wide standards.
- Experience working within large‑scale, regulated technology environments.
We are proud to be an equal‑opportunity employer.
We do not discriminate on the basis of 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.
We accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
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Senior Product Manager, AI Core Platform in London employer: LSEG
LSEG is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and technology. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and collaboration on cutting-edge projects in a hybrid work environment. Join us in London to be part of a forward-thinking team that values creativity and technical expertise, making a meaningful impact in the world of finance and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager, AI Core Platform in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like LSEG!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at LSEG would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at LSEG through your school's career services!
We think you need these skills to ace Senior Product Manager, AI Core Platform in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager, AI Core Platform, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager, AI Core Platform position at LSEG. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at LSEG
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
