Asst Dir-Product Manager
On-siteLondon, England, United Kingdom
Job Summary
Own the product lifecycle for increasing AI integration across Moody's business services, making capabilities consumable by AI agents via MCP and MCP Apps. Build prototypes to validate fit before committing engineering resources, then gather structured feedback to inform data-driven decisions. Define evaluation frameworks and pipelines to ensure accuracy, recall, and explainability standards are met before production deployment. Partner with Legal, Compliance, and Risk teams to ensure integrations meet regulatory requirements and responsible AI standards. Work embedded with engineering teams from concept through production, documenting architectures and best practices to enable scale. Mentor peers on AI product practices and champion the AI-First mindset across the segment.
Required Qualifications
- 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
- Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.