At a Glance
- Tasks: Lead the product lifecycle for AI integration and develop innovative solutions.
- Company: Join a dynamic team at Moody's, driving AI transformation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on rapid prototyping and technical excellence.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in AI/ML products and strong analytical skills required.
The predicted salary is between 72000 - 88000 £ per year.
- Let's begin! Asst Dir-Product Manager (14547)
- 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 Git Hub 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/Ph D 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 Chat GPT.
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.
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Asst Dir-Product Manager in London employer: Moody
Moody's is an exceptional employer that fosters a collaborative and dynamic work culture in the heart of London. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, ensuring that our team members can advance their careers while contributing to meaningful financial assessments. Our commitment to diversity and inclusion, coupled with competitive benefits, makes Moody's a rewarding place to work for those passionate about finance and ratings operations.
StudySmarter Expert Advice🤫
We think this is how you could land Asst Dir-Product Manager in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Moody or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Moody.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Moody.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Asst Dir-Product Manager in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Moody.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Moody and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Moody
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Moody uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
