Level

LSEG

Snr Product Manager for MCP Integrations

AI in this role

openaiclaudeanthropiccopilotlangchaincrewaiautogen
ai-agentsai-safety

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.

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Career Stage:

Manager

Compensation/Benefits Information:

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.

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.

How we rate this

Snr Product Manager for MCP Integrations at LSEG rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAI SafetyOpenAIClaudeAnthropicCopilotLangChainCrewAI

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. What are the limits of OpenAI that you've run into, and how did you work around them?
  4. What's a project where you used Claude hands-on?
  5. Walk me through how you've used Anthropic in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Agents, AI Safety, OpenAI, Claude, and Anthropic. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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