At a Glance
- Tasks: Lead the strategy and design of AI integration workflows for financial tools.
- Company: Join LSEG, a global leader in financial markets and data innovation.
- Benefits: Competitive salary, wellness allowance, flexible work options, and comprehensive health benefits.
- Other info: Dynamic team culture with opportunities for personal and professional growth.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Experience in product management and understanding of AI integration patterns required.
The predicted salary is between 60000 - 100000 ÂŁ per year.
As part of the LSEG AI team, we are hiring a Senior Product Manager – MCP Integrations & Agentic Workflows to own the strategy, design and delivery of integration patterns and agentic orchestration capabilities that connect LSEG's MCP tools into multi-step, autonomous AI workflows. This role is responsible for defining how LSEG's MCP tools are composed, chained, and orchestrated by AI agents—across partner ecosystems (Claude, Copilot Studio, OpenAI, open-source frameworks), third-party platforms, and internal agentic applications. You will shape how LSEG's financial intelligence is consumed not just as individual tool calls, but as part of sophisticated, multi-step reasoning pipelines that automate real financial workflows. You will work at the frontier of agentic AI, defining how autonomous systems reliably interact with LSEG's data and analytics at enterprise scale.
Key Responsibilities & Accountabilities
- Integration Strategy & Ecosystem
- Define the integration roadmap for LSEG MCP tools across AI platforms—including Anthropic (Claude), Microsoft (Copilot Studio, Azure AI), OpenAI, Google, and open-source agent frameworks (LangChain, CrewAI, AutoGen).
- Establish integration patterns, reference architectures, and best practices for connecting LSEG MCP tools to third-party agent orchestrators and workflow engines.
- Identify and prioritise strategic integration partnerships that expand the reach and utility of LSEG's MCP ecosystem.
- Agentic Workflow Design
- Define product patterns for multi-step, multi-tool agentic workflows—tool chaining, conditional branching, parallel execution, human-in-the-loop checkpoints, and error recovery.
- Design workflow templates and reference implementations for high-value financial use cases: morning briefings, equity research generation, portfolio rebalancing analysis, credit surveillance, and macro scenario modelling.
- Own the product requirements for orchestration reliability—ensuring agents handle tool failures, timeouts, ambiguous responses, and guardrail triggers gracefully.
- Developer & Partner Experience
- Design onboarding experiences, sample workflows, and integration guides that enable external developers and partners to build agentic applications on LSEG MCP tools.
- Define and maintain demo environments, sandbox configurations, and reference prompts that showcase LSEG's MCP capabilities within agent frameworks.
- Build and nurture a developer community around LSEG's MCP integrations, gathering feedback and surfacing adoption blockers.
- Reliability & Safety for Agentic Systems
- Define guardrails, approval gates, and safety patterns for autonomous AI agents interacting with LSEG financial data—ensuring agents cannot take unintended actions or surface misleading outputs.
- Partner with AI Governance and Model Risk to establish standards for agent auditability, decision traceability, and human oversight in agentic financial workflows.
- Design monitoring and alerting for agentic workflow health—tracking completion rates, failure modes, tool call patterns, and cost efficiency across agent-driven pipelines.
- Cross-Functional Collaboration
- Work closely with the Financial Domain Tools PM to ensure tools are designed for composability and chaining within agent workflows.
- Partner with the MCP Platform PM to ensure the infrastructure supports orchestration patterns—session continuity, context passing, and multi-tool transactions.
- Collaborate with commercial and business development teams to position LSEG's agentic MCP capabilities with strategic partners and enterprise clients.
- Engage with LSEG product teams across divisions to identify and instrument high-value agentic use cases.
Skills & Competencies
- Required
- Experience in product management for integrations, APIs, developer platforms, or workflow/orchestration products.
- Understanding of agentic AI patterns—tool chaining, multi-step reasoning, autonomous decision-making, and human-in-the-loop workflows.
- Familiarity with AI/LLM ecosystems and agent frameworks (LangChain, CrewAI, AutoGen, Copilot Studio, or equivalent).
- Experience designing developer-facing products—SDKs, documentation, reference implementations, and sandbox environments.
- Ability to work across ecosystem boundaries with external partners, developer communities, and platform providers.
- Preferred
- Exposure to MCP, function-calling, or tool-use patterns in production LLM applications.
- Background in financial services technology, capital markets workflows, or enterprise data integration.
- Experience with partnership or ecosystem development in a platform or marketplace context.
- Understanding of AI safety, guardrails, and governance considerations for autonomous agent systems.
Measures of Success
- Integration Reach & Adoption
- Number of AI platforms and agent frameworks with active, supported LSEG MCP integrations.
- Growth in agentic workflow invocations across partner ecosystems.
- Developer adoption metrics—onboarding completions, active integrations, community engagement.
- Workflow Quality & Reliability
- Agentic workflow completion rates, failure rates, and mean-time-to-recovery across supported patterns.
- Reduction in agent-driven errors, hallucination-related tool misuse, and unintended data exposure incidents.
- Quality and coverage of workflow templates and reference implementations for key financial use cases.
- Strategic Impact
- Number of strategic partner integrations (AI platforms, fintechs, enterprise clients) enabled through MCP.
- Contribution to new commercial revenue streams driven by agentic MCP capabilities (partnerships, Model-as-a-Service, API consumption).
- Influence on LSEG's positioning as the leading financial data provider for AI agent ecosystems.
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $78,900 - $131,500. Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.
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.
Snr Product Manager for MCP Integrations employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snr Product Manager for MCP Integrations
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product management and AI integrations. The more you rehearse, the more confident you'll feel!
✨Tip Number 3
Showcase your passion for agentic AI and financial workflows during interviews. Share your insights and ideas on how to improve LSEG's MCP tools—this will make you stand out!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're genuinely interested in joining our team.
We think you need these skills to ace Snr Product Manager for MCP Integrations
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Product Manager role. Highlight your experience with integrations, APIs, and agentic AI patterns, as these are key to what we’re looking for.
Showcase Relevant Experience: When detailing your past roles, focus on your achievements in product management, especially those related to developer platforms or workflow products. We want to see how you've made an impact in similar environments.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your skills and experiences at a glance. We appreciate clarity!
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your Integration Strategies
Familiarise yourself with the integration roadmap for LSEG's MCP tools. Be ready to discuss how you would define and establish integration patterns across various AI platforms like Claude, Copilot Studio, and OpenAI. Showing that you understand these ecosystems will impress the interviewers.
✨Showcase Your Agentic Workflow Knowledge
Prepare to talk about your experience with multi-step, multi-tool workflows. Bring examples of how you've designed or managed workflows that include tool chaining and human-in-the-loop checkpoints. This will demonstrate your capability to handle the complexities of agentic orchestration.
✨Engage with Developer Experience
Highlight any experience you have in designing onboarding experiences or integration guides for developers. Discuss how you would build a community around LSEG's MCP integrations, as this role requires collaboration with external developers and partners.
✨Understand AI Safety and Governance
Be prepared to discuss the importance of safety patterns and guardrails for autonomous AI agents. Show that you are aware of the governance considerations necessary for financial workflows, as this is crucial for ensuring reliability and trust in the systems you'll be working with.