Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies • 5–8 years of product management experience with demonstrated ownership of products or feature areas from discovery through launch • Strong experience owning API-based or data platform products, including data ingestion pipelines and ETL/ELT workflows • Solid understanding of entity resolution, entity matching, or reference data management, with familiarity in OpenSearch/Elasticsearch, embeddings, and data normalization • Proven ability to manage complex cross-functional programs with internal stakeholders and enterprise clients • Ability to write clear and concise product documentation for both technical and non-technical audiences • Experience with agile product tools such as Jira and Confluence, and strong data-driven decision-making skills • Technical fluency to engage in architecture discussions and evaluate trade-offs across data ingestion and infrastructure approaches • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use. Education • Bachelor’s degree required • Master’s degree in Business, Computer Science, Information Systems, Economics, or a related field preferred Responsibilities Drive the end-to-end product management of a scalable entity matching platform, ensuring delivery of high-quality data ingestion and search capabilities. • Independently manage the product lifecycle from discovery through release and post-launch iteration • Prioritize features and tasks based on business value, effort, and stakeholder input • Write clear product requirements, user stories, and acceptance criteria to guide engineering teams • Define and track key performance metrics including match accuracy, ingestion latency, API throughput, and user adoption • Lead agile ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives • Identify user needs through research, stakeholder engagement, and usability testing to validate solutions • Own the roadmap for data ingestion, including pipelines, indexing, and storage to ensure data quality and performance • Collaborate with engineering, data, and cross-functional teams to optimize search relevance, integrations, and product delivery About the Team Our team focuses on building scalable, data-driven platforms that power critical entity resolution and matching capabilities across Moody’s. By joining this team, you will collaborate closely with engineering, data, and product partners to deliver innovative solutions that enhance data quality, search accuracy, and client outcomes while contributing to the evolution of advanced data and AI-enabled platforms. For US-based roles only: the anticipated hiring base salary range for this position is $119,100.00 - $172,650.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement . Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Requirements

Must-haves

Skills and Competencies
5–8 years of product management experience with demonstrated ownership of products or feature areas from discovery through launch
Strong experience owning API-based or data platform products, including data ingestion pipelines and ETL/ELT workflows
Solid understanding of entity resolution, entity matching, or reference data management, with familiarity in OpenSearch/Elasticsearch, embeddings, and data normalization
Proven ability to manage complex cross-functional programs with internal stakeholders and enterprise clients
Ability to write clear and concise product documentation for both technical and non-technical audiences
Experience with agile product tools such as Jira and Confluence, and strong data-driven decision-making skills
Technical fluency to engage in architecture discussions and evaluate trade-offs across data ingestion and infrastructure approaches
Bachelor’s degree required
Drive the end-to-end product management of a scalable entity matching platform, ensuring delivery of high-quality data ingestion and search capabilities.
Independently manage the product lifecycle from discovery through release and post-launch iteration
Prioritize features and tasks based on business value, effort, and stakeholder input
Write clear product requirements, user stories, and acceptance criteria to guide engineering teams
Define and track key performance metrics including match accuracy, ingestion latency, API throughput, and user adoption
Lead agile ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives
Identify user needs through research, stakeholder engagement, and usability testing to validate solutions
Own the roadmap for data ingestion, including pipelines, indexing, and storage to ensure data quality and performance
Collaborate with engineering, data, and cross-functional teams to optimize search relevance, integrations, and product delivery
About the Team
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement .

Nice-to-haves

Master’s degree in Business, Computer Science, Information Systems, Economics, or a related field preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapiagilejira

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave