Asst Dir-Product Manager

Moody's Corporation; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Moody's Corporation seeks a strategic AI product leader to own the lifecycle of AI integration across Moody's services, packaging capabilities for agent-based consumption and guiding MCP App implementations.

You will partner with Legal, Compliance, and Risk to ensure responsible AI adoption while collaborating with engineers to deliver enterprise-grade AI solutions across Moody's platforms.

Qualifications

• Demonstrated experience building or evaluating AI/ML-powered products.
• Understanding of LLMs and generative AI concepts including AI agents, prompt engineering, MCP, and MCP Apps.

Responsibilities

• Own the product lifecycle for increasing AI integration across Moody's services.
• Make Moody's services consumable by AI agents, packaging capabilities for agent-based use.
• Evaluate MCP, MCP App options for customer fit and trade-offs.
• Build prototypes and test with internal/external clients.
• Define and track evaluation metrics for AI-integrated services.
• Ensure integrations comply with legal, compliance and risk requirements.
• Design evaluation pipelines ensuring accuracy and explainability.

Skills

AI product development

LLMs & generative AI

MCP Apps & UI

Claude tools

AI workflow automation

Data-driven decision making

Clear technical storytelling

AI governance & ethics

Education

Bachelor's/Master's/PhD in CS/Engineering/Data Science/Business

Tools

Claude Desktop

Claude Code

GitHub Copilot

Job description

• Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies
• Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities
• Mastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work faster while maintaining safety and responsible-use standards
• Mastery of AI Skills: authoring and applying reusable, packaged capabilities to extend and standardize AI tools and agent workflows
• Demonstrated hands-on proficiency with AI-assisted development tools such as Claude Code or GitHub Copilot
• Strong analytical mindset with the ability to define evaluation frameworks, interpret metrics, and make data-driven product decisions
• Ability to translate technical concepts into clear, value-based messaging for non-technical and senior audiences
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.

Skills And Competencies

• Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies
• Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities
• Mastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work faster while maintaining safety and responsible-use standards
• Mastery of AI Skills: authoring and applying reusable, packaged capabilities to extend and standardize AI tools and agent workflows
• Demonstrated hands-on proficiency with AI-assisted development tools such as Claude Code or GitHub Copilot
• Strong analytical mindset with the ability to define evaluation frameworks, interpret metrics, and make data-driven product decisions
• Ability to translate technical concepts into clear, value-based messaging for non-technical and senior audiences
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.

Education

• Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field

Responsibilities

• Own the product lifecycle for increasing AI integration across Moody's business services and making Moody's capabilities consumable by AI agents.
• Make existing Moody's business services consumable by AI agents, defining how each capability is exposed and packaged for agent-based consumption
• Recommend the best distribution channel for each business service, evaluating MCP, MCP App, and other options based on customer fit, reach, and technical trade-offs
• Build prototypes to test in front of internal and external clients, validating fit before committing full engineering resources
• Gather structured feedback from those tests to inform good, data-driven product decisions
• Help ensure every integration complies with the legal and regulatory frameworks in place, partnering with Legal, Compliance, and Risk as needed
• Help build and maintain the end-to-end evaluation framework for AI-integrated services, contributing to metrics, benchmarks, and acceptance criteria before each production deployment
• Design and maintain evaluation pipelines, ensuring accuracy, recall, and explainability standards are met
• Define and track performance KPIs across latency, accuracy, hallucination rate, coverage, and user satisfaction, balancing quality, cost, and scaling requirements
• Drive continuous improvement cycles based on evaluation results, customer feedback, and production monitoring data
• Contribute to the business case and OKRs for the domain, helping define value hypotheses and track benefits realization post-launch
• Support product definition for MCP and MCP App integrations, enabling external AI systems to consume Moody's capabilities via standardized interfaces
• Help shape the MCP App surface area, leveraging the protocol's new UI capabilities to deliver richer, interactive experiences directly within AI agents rather than text-only tool outputs
• Define the MCP tool and resource surface area, determining how Moody's capabilities are exposed and where an MCP App UI adds value over a standard tool call
• Partner with engineering to design, build, and iterate on MCP server and MCP App implementations, ensuring reliability, security, and compliance with data governance standards
• Validate MCP and MCP App integrations through structured testing with partner AI systems and customer environments
• Use AI tools such as Claude Desktop and Claude Code to rapidly prototype capabilities, validate hypotheses, and accelerate delivery while keeping safety
• Author and apply AI Skills to standardize and scale agent workflows
• Support solution discovery through customer engagements, beta and trial deployments, and design sprints that validate fit before committing full engineering resources
• Work embedded with engineering teams from concept through production, maintaining accountability for delivery timelines and quality
• Document architectures, evaluation results, and best practices to enable repeatability and scale
• Champion the AI-First mindset across the segment, identifying opportunities to embed Moody's AI capabilities into customer workflows
• Mentor peers on AI product practices, evaluation approaches, AI-assisted development, and AI Skills, contributing to the broader team's capability
• Partner with Pre-Sales on customer engagements, leading technical discovery sessions, demonstrations, and solution workshops
• Align with Commercial Strategy on market intelligence, competitive landscape, and go-to-market priorities
• Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards
• Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability

About The Team

You will join the C&G Product Builders team, which unites product vision with engineering excellence to deliver solutions across Moody's client base, including corporate and government. The team builds end-to-end, from data to AI agents and customer-facing analytics, operating in squads that own the full lifecycle from solution concept to production. This role is at the center of Moody's push to make its business services consumable by AI, delivered across Moody's platforms and external MCP channels including marketplaces, customer platforms, and foundational models like Claude and ChatGPT. With a strong growth mandate and global reach, the team offers a dynamic environment where rapid solution prototyping, deep technical collaboration, and ownership define how work gets done.