Associate Director, Product Management - AI Property Underwriting

Moody's; United States; Remote; USD 125,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Parental leave

401(k) with company match

Life Insurance

Disability insurance

Employee stock purchase plan

Tuition reimbursement

Job summary

Moody's CAPE Property Intelligence team is advancing AI-powered property underwriting with insurers globally. We seek a senior product leader to define strategy, own the roadmap, and drive adoption and revenue across an established portfolio and a newly launched product.

You will collaborate with ML, platform engineering, and commercial teams, deliver value to carriers, and helm governance reviews to ensure compliant, responsible AI. Join Moody's and shape the future of property risk analytics.

Qualifications

• 6+ years of product management experience in tech, data, or analytics companies bringing products to market.
• Hands-on AI/ML product experience, ideally computer vision or vision-language models, with evaluation and non-deterministic systems.
• Proficiency in AI concepts and hands-on use of AI tools to streamline workflows and drive value, with governance awareness.
• Experience managing products across a large portfolio balancing multiple customers and stakeholders.
• Commercial accountability: launches, pricing/packaging, converting pilots to paying customers.
• Leading cross-functional initiatives spanning engineering, design, legal, privacy, risk, GTM.
• Strong enterprise client-facing skills presenting to senior executives.
• Experience in property and casualty insurance or property data analytics preferred.

Responsibilities

• Lead product management for Moody's AI-powered property underwriting products: strategy, engineering delivery, launch, and growth.
• Own vision, strategy, roadmap, and commercial outcomes for an AI-powered property inspection analytics product with carriers.
• Extend ownership to broader underwriting portfolio, pursuing new data and AI opportunities.
• Collaborate with ML and platform engineering on scope, model quality, evaluation, and delivery.
• Partner with pricing/packaging to reflect product value and manage the commercial funnel to paid conversion.
• Lead pilot and evaluation relationships with insurers and ecosystem partners.
• Drive launch and release processes for new products and capabilities, including enablement and training.
• Shepherd governance reviews to completion for owned products.

Skills

Product management

AI/ML product development

AI governance

Portfolio management

Commercial accountability

Cross-functional leadership

Customer discovery

Property/casualty insurance analytics

Education

Bachelor's degree

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.

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

• 6+ years of product management experience at a technology, data, or analytics company, including taking new products or major capabilities from early concept to market and driving them to initial commercial traction; required because this role takes a newly launched product through to paying customers
• Hands-on experience building and shipping products powered by artificial intelligence or machine learning, ideally computer vision or vision-language models, including familiarity with model evaluation, quality trade-offs, and the operational realities of non-deterministic systems
• 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, with the expectation of developing deep expertise in AI governance and responsible adoption over time in partnership with our machine learning team
• Experience managing products within a large, established portfolio, balancing roadmap investment across many customers, product lines, and stakeholders; required because this role spans a new product and an established property underwriting portfolio
• Demonstrated commercial accountability, including executing product launches, shaping pricing and packaging in partnership with commercial teams, and converting pilot engagements into paying customers; required because this role is measured on adoption and revenue
• Experience leading cross-functional initiatives spanning engineering, design, legal, privacy, risk, and go-to-market functions; required because launches and new capabilities must clear all of these to ship
• Strong customer discovery and enterprise client-facing skills, with the ability to present to senior executives and turn customer feedback into clear product decisions; required for leading carrier pilots and evaluations
• Experience in property and casualty insurance, insurance technology, or property data and analytics is strongly preferred

Education

• Bachelor's degree or equivalent practical experience required; an advanced degree in a technical or business discipline is preferred

Responsibilities

Lead product management for Moody's AI-powered property underwriting products: strategy, engineering delivery, launch, and growth.

• Own the vision, strategy, roadmap, and commercial outcomes for an AI-powered property inspection analytics product as it moves from commercial launch to scaled adoption with insurance carriers
• Extend ownership into the broader property underwriting portfolio, identifying and pursuing opportunities where new data and AI create the most value for insurers
• Collaborate daily with machine learning and platform engineering teams on scope, model quality, evaluation, trade-offs, and delivery, including decisions on when model output is ready to ship and how the product handles model errors
• Partner with the pricing and packaging function to ensure commercial models reflect product value to carriers, and manage the commercial funnel from evaluation agreements through proof of value to paid conversion, with accountability for adoption and revenue targets
• Lead pilot and evaluation relationships with insurance carriers and ecosystem partners, including evaluation plans, results reviews, and turning feedback into roadmap decisions
• Drive the launch and release process for new products and capabilities, including release criteria, sales enablement, training, and support readiness
• Shepherd legal, privacy, risk, and artificial intelligence governance reviews to completion for owned products

About the Team

Our CAPE Property Intelligence team is responsible for delivering AI-powered property analytics to the property and casualty insurance industry, serving leading insurers globally. Our team contributes to Moody's by helping insurers assess and price property risk with greater accuracy, by extending Moody's relevance into new, high-value underwriting workflows such as property inspections, and by originating proprietary property data that strengthens Moody's broader analytics and catastrophe modeling portfolio. By joining our team, you will be part of exciting work in applied artificial intelligence for insurance, taking new AI products to market while shaping a property underwriting portfolio that insurers around the world rely on. We embrace AI tools and responsible AI adoption in how we build, operate, and go to market every day.

For US-based roles only: the anticipated hiring base salary range for this position is$124,600.00 - $222,200, 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 [e-mail]. 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.

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.