At a Glance
- Tasks: Drive AI product strategy and collaborate with engineers and designers to enhance user experiences.
- Company: Join a leading global financial markets infrastructure and data provider.
- Benefits: Enjoy tailored benefits, healthcare, retirement planning, and paid volunteering days.
- Other info: Be part of a diverse, collaborative culture that values innovation and sustainability.
- Why this job: Make a significant impact in AI and financial workflows while working with innovative teams.
- Qualifications: 3+ years in product management with a focus on AI and financial industry workflows.
The predicted salary is between 56700 - 69300 £ per year.
As an AI Product Manager for AI & Agentic Workflows, you will drive the strategy, roadmap and delivery of the AI layer that powers intelligent search and agentic experiences across LSEG Workspace.
You will play a central role in evolving a flagship AI product now live in general availability. You will work hands-on with full-stack squads of Engineers, Data Scientists and Product Designers — shaping what gets built, how it gets measured and how it lands with users. Your focus will be on making AI experiences faster, smarter and more extensible: expanding coverage across asset classes and data domains, designing new agentic workflows, and building the evaluation frameworks that keep quality high as the product scales.
This is a role for someone who thrives at the intersection of AI, product craft and financial workflows — someone who can translate complex technical systems into experiences that users genuinely value. You will be encouraged to take ownership, and with a flat organisational structure will have regular opportunities to interact with senior leaders and make a visible contribution to the team and the platform.
Key responsibilities
- Own and drive the product roadmap for AI-driven search, orchestration and agentic workflows, balancing the quality and reliability of a live GA product with commercial growth.
- Drive the integration of new data sources and capabilities, expanding coverage across asset classes and data domains while keeping complexity low.
- Shape the design and delivery of domain-specific AI agents- working with business communities, Engineering and Data Science to extend Workspace AI into new specialised use cases.
- Design and evolve AI evaluation frameworks and quality metrics to measure performance, accuracy and relevance in real-world financial workflows.
- Lead user discovery and continuous feedback loops, conducting research and integrating behavioural analytics and telemetry into product development to refine AI experiences.
- Define KPIs, analyse usage and consumption data, and leverage user feedback to continuously optimise product performance and adoption.
- Collaborate with platform and community teams to prioritise features that improve engagement and deliver measurable business outcomes across Workspace surfaces including Teams and M365 Copilot.
- Partner with Legal, Compliance and Data Rights teams to keep the product compliant, embedding data usage standards and Responsible AI requirements.
- Manage dependencies across multiple workstreams, acting as a connector to keep teams aligned end-to-end.
- Lead agile ceremonies and ensure alignment with organisational objectives and key results.
- Embed a data-informed process so your teams can make fast, good decisions grounded in user behaviour and engagement.
What you'll bring
- A proven track record of building successful, large-scale client-facing products- ideally where AI, search or intelligent automation was central.
- A data-driven product management approach where product decisions are deep rooted in telemetry, user research and analytics.
- 3+ years of experience in product management, ideally in a matrixed, global organisation.
- Familiarity with AI/LLM ecosystems and modern experimentation and evaluation methods.
- Deep understanding of financial industry workflows and customer problems, with the ability to translate these into compelling product stories and actionable requirements.
- Working knowledge of Python and SQL, with the ability to query and analyse product data directly and prototype ideas.
- Strong instinct for design and user experience, with the judgement to know what 'great' feels like and the standards to hold teams to it.
- Genuine excitement about AI and a point of view on how it transforms how people discover, analyse and act on financial data.
- Proven ability to lead cross-functional teams and align diverse stakeholders across Product, Engineering, UX, Data Science, Legal and Compliance.
- Comfort operating in a fast-moving environment with shifting priorities, balancing delivery pace with quality.
- Strong communication skills and the ability to engage stakeholders at all levels — across Engineering, Data Science and business teams.
- A curious mindset and an appetite for exploring new technologies to improve how products are built and delivered.
Who you'll be working with
AI Product Managers and Product Leads across the AI & Personalisation organisation, Software Engineers, Architects, Data Scientists, Product Designers, Delivery Managers, Scrum Masters, Technology Leaders, Community Leads, Legal and Compliance teams, Customer Success Managers, and senior business stakeholders.
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 values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day.
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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
AI Product Manager, Workflows in Vauxhall employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Java Engineer in our Risk Platform team, you will have access to unparalleled growth opportunities, working alongside industry experts in a vibrant London setting that champions diversity and professional development. Join us to make a meaningful impact while enjoying competitive benefits and a supportive environment that values your contributions.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager, Workflows in Vauxhall
✨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 London Stock Exchange Group!
✨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 London Stock Exchange Group 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 London Stock Exchange Group through your school's career services!
We think you need these skills to ace AI Product Manager, Workflows in Vauxhall
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager, Workflows, 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 AI Product Manager, Workflows position at London Stock Exchange Group. 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 London Stock Exchange Group
✨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.
