Asst Dir-Product Manager
Skills and CompetenciesDemonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologiesUnderstanding 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 capabilitiesMastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work faster while maintaining safety and responsible-use standardsMastery of AI Skills: authoring and applying reusable, packaged capabilities to extend and standardize AI tools and agent workflowsDemonstrated hands-on proficiency with AI-assisted development tools such as Claude Code or GitHub CopilotStrong analytical mindset with the ability to define evaluation frameworks, interpret metrics, and make data-driven product decisionsAbility to translate technical concepts into clear, value-based messaging for non-technical and senior audiencesDeep 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.
EducationBachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related fieldResponsibilitiesOwn 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 consumptionRecommend the best distribution channel for each business service, evaluating MCP, MCP App, and other options based on customer fit, reach, and technical trade-offsBuild prototypes to test in front of internal and external clients, validating fit before committing full engineering resourcesGather structured feedback from those tests to inform good, data-driven product decisionsHelp ensure every integration complies with the legal and regulatory frameworks in place, partnering with Legal, Compliance, and Risk as neededHelp build and maintain the end-to-end evaluation framework for AI-integrated services, contributing to metrics, benchmarks, and acceptance criteria before each production deploymentDesign and maintain evaluation pipelines, ensuring accuracy, recall, and explainability standards are metDefine and track performance KPIs across latency, accuracy, hallucination rate, coverage, and user satisfaction, balancing quality, cost, and scaling requirementsDrive continuous improvement cycles based on evaluation results, customer feedback, and production monitoring dataContribute to the business case and OKRs for the domain, helping define value hypotheses and track benefits realization post-launchSupport product definition for MCP and MCP App integrations, enabling external AI systems to consume Moody's capabilities via standardized interfacesHelp 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 outputsDefine 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 callPartner with engineering to design, build, and iterate on MCP server and MCP App implementations, ensuring reliability, security, and compliance with data governance standardsValidate MCP and MCP App integrations through structured testing with partner AI systems and customer environmentsUse AI tools such as Claude Desktop and Claude Code to rapidly prototype capabilities, validate hypotheses, and accelerate delivery while keeping safetyAuthor and apply AI Skills to standardize and scale agent workflowsSupport solution discovery through customer engagements, beta and trial deployments, and design sprints that validate fit before committing full engineering resourcesWork embedded with engineering teams from concept through production, maintaining accountability for delivery timelines and qualityDocument architectures, evaluation results, and best practices to enable repeatability and scaleChampion the AI-First mindset across the segment, identifying opportunities to embed Moody's AI capabilities into customer workflowsMentor peers on AI product practices, evaluation approaches, AI-assisted development, and AI Skills, contributing to the broader team's capabilityPartner with Pre-Sales on customer engagements, leading technical discovery sessions, demonstrations, and solution workshopsAlign with Commercial Strategy on market intelligence, competitive landscape, and go-to-market prioritiesCollaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standardsInteract with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportabilityAbout the TeamYou 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.-