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 • Ten or more years in product management, with a strong track record in technical, data-intensive, or platform products, including time in a product leadership role • Demonstrated experience taking an artificial intelligence or data-driven product from ambiguity through to production, rather than managing an established roadmap • Fluency writing technical specifications, acceptance criteria, and lightweight designs detailed enough for engineering to estimate and build against without further input • Strong platform and application programming interface sensibility, including how to build reusable services, consistent standards, and modern integration surfaces that other teams, clients, and their automated agents depend on • Proven ability to run several workstreams in parallel under shifting priorities, sequencing dependencies and keeping engineering unblocked • Excellent written communication, with the ability to produce crisp requirements, clear documents, and executive-ready updates • Insurance, reinsurance, or a related domain strongly preferred; candidates from adjacent regulated-data domains such as financial services, risk, or enterprise data will be considered • 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 in a technical, quantitative, or business discipline, or equivalent practical experience; an advanced degree is desired but not required Responsibilities Leads product workstreams combining artificial intelligence capabilities with the platform services and standards that make them enterprise-ready. • Owns product direction for multiple concurrent workstreams, translating strategy and roadmap into clear, sequenced, outcome-oriented plans • Writes engineering-ready specifications, acceptance criteria, and lightweight designs, working independently and with minimal supervision • Sequences dependencies across parallel tracks and clears blockers so engineering teams remain unblocked and delivering • Partners with engineering, design, and data science to shape artificial intelligence workflows, including large language model extraction, automated validation, confidence scoring, and data provenance • Defines how capabilities are surfaced to clients through public application programming interfaces, agent-facing integration interfaces, and application experiences • Works across internal platform, data, and interface teams so that what is built integrates cleanly and adheres to shared enterprise standards • Engages directly with clients, running and supporting demonstrations, synthesizing feedback, and shaping partnerships that validate the product against real-world complexity • Defines the tests, rules, and real-data quality checks that engineering builds against, and guards against scope creep and coverage gaps About the Team Our MCFL (Moody's Casualty and Financial Lines) team is responsible for building a suite of artificial intelligence-native products for the Casualty Insurance market, transforming messy, real-world data into decision-grade intelligence and exposing it through robust, consistent platform services that other teams and clients build on. This is a builder's role at the frontier of applied artificial intelligence. We are looking for a seasoned product leader to own significant parts of this, leading multiple workstreams that combine large language model-based extraction and agentic workflows with the platform foundations, application programming interfaces, MCP connectors, data services, and standards that make the output reliable, integrable, and enterprise-ready. You will have real scope from day one and a team to grow into. For US-based roles only: the anticipated hiring base salary range for this position is $142,500.00 - $206,700.00, 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
Ten or more years in product management, with a strong track record in technical, data-intensive, or platform products, including time in a product leadership role
Demonstrated experience taking an artificial intelligence or data-driven product from ambiguity through to production, rather than managing an established roadmap
Fluency writing technical specifications, acceptance criteria, and lightweight designs detailed enough for engineering to estimate and build against without further input
Proven ability to run several workstreams in parallel under shifting priorities, sequencing dependencies and keeping engineering unblocked
Excellent written communication, with the ability to produce crisp requirements, clear documents, and executive-ready updates
Bachelor's degree in a technical, quantitative, or business discipline, or equivalent practical experience; an advanced degree is desired but not required
Leads product workstreams combining artificial intelligence capabilities with the platform services and standards that make them enterprise-ready.
Owns product direction for multiple concurrent workstreams, translating strategy and roadmap into clear, sequenced, outcome-oriented plans
Writes engineering-ready specifications, acceptance criteria, and lightweight designs, working independently and with minimal supervision
Sequences dependencies across parallel tracks and clears blockers so engineering teams remain unblocked and delivering
Partners with engineering, design, and data science to shape artificial intelligence workflows, including large language model extraction, automated validation, confidence scoring, and data provenance
Defines how capabilities are surfaced to clients through public application programming interfaces, agent-facing integration interfaces, and application experiences
Works across internal platform, data, and interface teams so that what is built integrates cleanly and adheres to shared enterprise standards
Engages directly with clients, running and supporting demonstrations, synthesizing feedback, and shaping partnerships that validate the product against real-world complexity
Defines the tests, rules, and real-data quality checks that engineering builds against, and guards against scope creep and coverage gaps
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

Insurance, reinsurance, or a related domain strongly preferred; candidates from adjacent regulated-data domains such as financial services, risk, or enterprise data will be considered

Application prep

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Keywords to mirror

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave