At a Glance
- Tasks: Lead the strategy and design of AI observability systems for cutting-edge financial products.
- Company: Join the London Stock Exchange Group, a leader in global financial markets.
- Benefits: Enjoy tailored benefits, healthcare, retirement planning, and paid volunteering days.
- Other info: Be part of a diverse team that values innovation and sustainability.
- Why this job: Make a significant impact on AI governance and user experience in finance.
- Qualifications: Experience in product management with a focus on telemetry and data platforms.
The predicted salary is between 70000 - 90000 β¬ per year.
As part of the LSEG AI, we are hiring a Senior Product Manager - AI Observability to own the strategy, design and rollout of telemetry systems that monitor, measure and analyse how AI models, MCPs, and AI-enabled features behave across all LSEG products. This role is responsible for defining how we collect, structure, analyse and act on AI-specific telemetry signals including prompt patterns, model performance, MCP call usage, latency, error conditions, cost metrics, user behaviour signals, and system reliability.
You will develop a telemetry foundation that supports:
- AI governance & risk
- model performance tracking
- cost efficiency
- user experience optimisation
- operational reliability
- auditability
- the long-term evolution of our AI platform.
Key Responsibilities & Accountabilities
Telemetry & Observability Strategy
- Define the end-to-end telemetry vision and roadmap for LLMs, MCPs, vector stores, embeddings, inference layers and AI-powered user experiences.
- Establish a standardised telemetry schema for capturing prompts, tool calls, model responses, durations, errors, confidence signals, and quality indicators across business lines.
- Partner with platform engineering to ensure instrumentation is consistent, scalable and compliant.
Signal Design & Data Architecture
- Identify key signals required for:
- Quality & reliability
- Latency & throughput
- Cost tracking & optimisation
- MCP usage patterns
- User workflow insights
- Failure pattern detection
- Guardrail and safety event monitoring
- Define retention rules, PII considerations, anonymisation and usage policies in partnership with AI Governance and Compliance.
Platform & Tooling
- Own requirements for dashboards, monitoring tools, model comparison views, anomaly detection alerts, and performance scorecards.
- Design systems that allow product and engineering teams to self-serve insights about AI model behaviour and MCP interactions.
- Partner with engineering to build pipelines that support real-time and batch analytics.
Cross-Functional Collaboration
- Collaborate with product owners across LSEG to instrument their AI features consistently.
- Partner with AI Evaluation PM, Model Risk, GSSR, Legal and Compliance to align telemetry with governance frameworks.
- Work closely with Engineering and SRE teams to drive observability improvements and reliability engineering for AI systems.
Optimisation & Insights
- Identify cost inefficiencies across model and MCP usage, and drive recommendations to improve ROI.
- Surface workflow-level insights on how customers use AI features, informing product roadmaps.
- Partner with product leaders across divisions to understand how telemetry can improve customer experience, reliability and performance.
Governance & Standards
- Define and maintain AI telemetry standards and best practices across all LSEG divisions.
- Contribute to LSEG's AI governance and Responsible AI initiatives by providing data-driven insights on model behaviour and user impact.
- Ensure telemetry systems support auditability, compliance and explainability requirements.
Skills & Competencies
- Required: Experience in product management with a strong foundation in observability, telemetry, data platforms, monitoring, or SRE / DevOps-driven products.
- Understanding of LLMs, embeddings, vector search, MCP tools, and AI inference workflows.
- Deep familiarity with logging, tracing, metrics, and event-based telemetry systems.
- Ability to define data schemas, signal taxonomies, aggregation strategies and data contracts.
- Strong analytical skills and ability to derive insights from large-scale system telemetry.
- Experience working with senior engineering, data science, risk and governance stakeholders.
Preferred
- Exposure to financial data, analytics systems and enterprise-scale data workflows.
- Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks.
- Understanding of cloud infrastructure, serverless runtimes, API gateways and model hosting architectures.
- Ability to drive cross-functional alignment and establish group-wide standards.
Measures of Success
- Platform Reliability & Performance: Reduction in AI system error rates, latency spikes and operational incidents.
- Stability and transparency of MCP usage across product lines.
- Quality and coverage of telemetry signals across all AI-enabled products.
Insight Generation & Adoption
- Adoption of telemetry dashboards and self-service tools across divisions.
- Number of identified and resolved model or MCP reliability issues driven by telemetry.
- Level of insight generated to influence product prioritisation and AI model choices.
Operational Efficiency & Cost
- Improved cost transparency and cost-saving impact via telemetry-driven optimisation.
- Reduction in unnecessary model invocation or inefficient tool usage.
Governance & Compliance
- Contribution to Responsible AI frameworks through robust, auditable telemetry.
- Improved explainability and traceability of AI features for internal/external 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 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 for AI Observability - London Stock Exchange Group employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Product Manager for AI Observability, you will have the opportunity to work in a dynamic environment that values your individuality while providing tailored benefits such as healthcare, retirement planning, and paid volunteering days. With a commitment to employee growth and sustainability, LSEG empowers you to make a meaningful impact in the financial markets while enjoying a supportive and inclusive workplace.
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Product Manager for AI Observability - London Stock Exchange Group
β¨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at LSEG. A friendly chat can open doors that a CV just can't.
β¨Tip Number 2
Prepare for interviews by diving deep into AI observability topics. Know your stuff about telemetry systems and be ready to discuss how you can contribute to LSEG's goals.
β¨Tip Number 3
Showcase your past successes! Bring examples of how you've improved product performance or user experience through data insights. Numbers speak louder than words!
β¨Tip Number 4
Don't forget to apply through our website! Itβs 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 for AI Observability - London Stock Exchange Group
Some tips for your application π«‘
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with observability, telemetry, and AI. We want to see how your skills align with our needs at LSEG!
Showcase Your Achievements:Donβt just list your responsibilities; share specific examples of how youβve driven improvements in product management or AI systems. We love seeing quantifiable results that demonstrate your impact!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and avoid jargon unless itβs relevant. We appreciate clarity as much as complexity!
Apply Through Our Website:For the best chance of success, make sure to submit your application through our official website. It helps us keep track of all applications and ensures youβre considered for the role!
How to prepare for a job interview at London Stock Exchange Group
β¨Know Your Telemetry Inside Out
Make sure you understand the key telemetry concepts relevant to the role. Brush up on your knowledge of AI observability, data architecture, and signal design. Being able to discuss how you would define and implement a telemetry strategy will show that you're not just familiar with the terms but can apply them effectively.
β¨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing past experiences where you've derived insights from telemetry data. Be ready to explain how you identified inefficiencies or improved operational reliability in previous roles. Use specific examples to illustrate your thought process and outcomes.
β¨Collaborate Like a Pro
This role requires cross-functional collaboration, so be prepared to talk about how you've worked with different teams in the past. Highlight your experience partnering with engineering, product owners, and compliance teams. Show that you can drive alignment and establish standards across diverse groups.
β¨Understand the Bigger Picture
Familiarise yourself with LSEG's mission and values, especially around financial stability and responsible AI. Be ready to discuss how your work in AI observability can contribute to these goals. Showing that you align with their purpose will set you apart as a candidate who is not only skilled but also passionate about the company's vision.