At a Glance
- Tasks: Lead the strategy and design of AI integration workflows for financial tools.
- Company: Join LSEG, a leader in financial data and AI innovation.
- Benefits: Competitive salary, wellness allowance, and comprehensive health benefits.
- Other info: Collaborative environment with opportunities for career growth.
- Why this job: Shape the future of finance with cutting-edge AI technology.
- Qualifications: Experience in product management and understanding of AI integration patterns.
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.
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.
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.
Snr Product Manager for MCP Integrations employer: Dormont Manufacturing Co
LSEG is an exceptional employer, offering a dynamic work environment at the forefront of AI integration within financial services. With a strong commitment to employee growth, competitive compensation, and comprehensive benefits, including wellness allowances and flexible spending options, LSEG fosters a culture of innovation and collaboration. The opportunity to shape cutting-edge agentic workflows while working alongside industry leaders makes this role not just a job, but a meaningful career path in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Snr Product Manager for MCP Integrations
✨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 Dormont Manufacturing Co!
✨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 Dormont Manufacturing Co 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 Dormont Manufacturing Co through your school's career services!
We think you need these skills to ace Snr Product Manager for MCP Integrations
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Snr Product Manager for MCP Integrations, 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 Snr Product Manager for MCP Integrations position at Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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.
