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Salary: USD 119,100 - 172,650 / annual
Moody's is seeking a Search Technologies Product Manager to lead the strategy, evolution, and delivery of a modern enterprise search platform powering information discovery across Moody's Analytics products and client experiences. This role sits within the Digital Content & Innovation team, which focuses on creating intelligent platforms and experiences that help clients and employees discover, access, and leverage critical information.
Key responsibilities include:
- Lead strategy and roadmap priorities for the Search as a Platform initiative in partnership with engineering and senior product leadership
- Translate ambiguous business challenges into clear product specifications, user stories, and actionable requirements for development teams
- Drive experimentation programs, including relevance testing, user feedback analysis, and data-driven validation of search improvements
- Partner with engineering, data science, and platform teams to deliver scalable search capabilities and enhance end-user experiences
- Support the transition from legacy search infrastructure while defining future-state architecture and capabilities
- Engage directly with internal stakeholders and external clients to understand needs, prioritize enhancements, and communicate product direction
- Monitor product performance, define success metrics, and use insights to continuously improve search relevance, usability, and platform adoption
- Coordinate delivery across multiple workstreams and ensure alignment between business objectives, technical execution, and client outcomes
The Digital Content & Innovation team is a global organization focused on enterprise search, generative AI, agentic solutions, and next-generation digital products that drive innovation, operational efficiency, and responsible adoption of emerging technologies.
REQUIREMENTS:
- 3–5 years of product management experience, preferably within financial services, risk management software, enterprise platforms, or related technology environments
- Strong understanding of software development concepts and ability to partner closely with engineering teams on technical trade-offs, platform design, and product delivery
- Experience translating complex business needs into clear product requirements, user stories, and roadmap priorities
- Proven ability to prioritize effectively in ambiguous environments while balancing stakeholder needs, business objectives, and technical constraints
- Strong collaboration and communication skills with experience working across product, engineering, data science, and client-facing teams
- Experience with search technologies, relevance optimization, semantic search, APIs, experimentation, or large language model-enabled products is preferred
- Demonstrated proficiency in AI 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
- Growing awareness of AI risk management and commitment to responsible and ethical AI use
- Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline, or equivalent practical experience
