Senior Technical Product Manager

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

• 3+ years minimum of Product Management or similar experience
• 2+ years minimum of Product Management experience for a SaaS product
• Experience designing REST APIs
• Experience building SaaS or PaaS solutions on public clouds
• Knowledge of cloud and microservices-based architectures
• Well-developed leadership, management, and strategic-thinking skills, with the ability to excite and lead others
• Fast learner that can quickly synthesize ideas, information, and options into a strategy, plan, or response and effectively communicate it
• Innovative and creative problem solver with strong analytical skills
• Excellent written and oral communication skills in a business environment, along with a proven ability to prioritize, organize and deliver on commitments
• Software Engineering background a plus
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools—such as Copilot and ChatGPT—can be used to improve processes and drive efficiency.
• Interest in exploring agentic AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.

Education 

• BS or MS degree in Computer Science or equivalent industry experience

Responsibilities

• Own the end-to-end lifecycle of public APIs, from discovery and design through delivery and continuous improvement
• Define and maintain RESTful API designs using OpenAPI/Swagger, ensuring consistency, usability, versioning, and backward compatibility
• Own API specifications, documentation, and developer experience to support self-service integrations
• Work closely with engineering and architecture teams to understand system design, data flows, technical constraints, and scalability considerations
• Translate customer and business needs into clear product requirements, epics, user stories, and acceptance criteria
• Collaborate directly with customers, client-side engineering teams, and users to understand integration needs and workflows
• Act as a bridge between product, engineering, and customers, ensuring alignment across strategy, design, and execution
• Drive the API product vision, roadmap, and prioritization in partnership with senior engineering and platform stakeholders
• Support go-to-market activities, including release readiness and stakeholder communication
• Stay current on API design best practices and industry standards

About the team

Within the Insurance Property & Specialty business, we build SaaS solutions that enable insurers, reinsurers, MGAs, and ILS investors to underwrite smarter, price risk accurately, optimize portfolio performance, and bring new products to market faster. Underpinning these solutions is Intelligent Risk Platform, designed to deliver a competitive edge in today’s ever-evolving market by streamlining workflows across the insurance value chain.

For US-based roles only: the anticipated hiring base salary range for this position is $119,100- $172,640 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. Click here to view our Notice to New York City Applicants.
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.