Senior Product Manager for AI Observability job opportunity at London Stock Exchange Group (LSEG).

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DateMore Than 30 Days Ago bot
London Stock Exchange Group (LSEG) Senior Product Manager for AI Observability
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Pattern: full-time
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loacation GBR-London-10 Paternoster Square, United Kingdom
loacation GBR-London-10 ..........United Kingdom

Role Profile   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   m onitor ,   m easure   and   a nalyse   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   and 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 behavior 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 ( previous   role), 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 behavior 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.   Career Stage: Manager London Stock Exchange Group (LSEG) Information: 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. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. 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. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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