AI Product Manager

Description Description Liquidity is the world's leading AI-powered private credit firm, pioneering a new standard in growth capital through a nexus of expertise in private credit and technology. With a global reach and regional depth across North America, Europe, APAC and MENA, Liquidity supports high-growth companies by deploying capital with speed, precision, and adaptability. Powered by proprietary decision science technology, Liquidity enables faster, more accurate investment decisions at scale. About the Role Liquidity is seeking a highly technical and hands-on AI Product Manager to lead the design and delivery of AI-powered products across the full lifecycle — from data ingestion and modeling to user-facing applications. In this role, you will focus on building production-grade AI systems that power investment workflows, financial analysis, and decision-making. You will translate complex business problems in credit risk, deal structuring, and financial modeling into scalable AI-driven solutions, working at the intersection of Product, Data Science, and Engineering. You will collaborate closely with cross-functional teams to design and deploy AI-native experiences, including agent-based systems, decision support tools, and financial data platforms, ensuring high standards of accuracy, reliability, and usability. Responsibilities Define and deliver AI-native product experiences, including chat interfaces, agent-based workflows, automation, and decision support tools. Translate complex financial and investment problems into scalable AI systems and product solutions. Drive end-to-end product development across data pipelines, model layers, and application layers. Design and implement multi-agent or prompt-based systems across key workflows such as origination, diligence, and monitoring. Build and maintain structured representations of financial data and products. Own the quality of AI outputs, ensuring accuracy, explainability, and reliability in production environments. Collaborate closely with Data Science, Engineering, and business stakeholders to align on product goals and execution. Debug and resolve issues across the stack, including data, model performance, and user experience. Lead the development of AI assistants, financial data mapping systems, risk scoring engines, and simulation tools. Balance speed and precision in delivering high-impact solutions within a financial context. Requirements 5–10 years of experience in Product Management with strong technical depth. Strong understanding of LLMs, including prompting, RAG, evaluation, and hallucination mitigation. Solid knowledge of data pipelines (ETL, APIs) and structured vs. unstructured data systems. Familiarity with machine learning fundamentals, model behavior, and evaluation metrics. Experience working with financial, analytical, or data-intensive systems is strongly preferred. Proficiency in SQL or data querying and experience with API-based integrations. Ability to design high-level system architecture across data, models, and product layers. Strong problem-solving skills with the ability to debug across data, model, and UX layers. Experience working closely with Data Science and Engineering teams in production environments. Background in fintech, analytics platforms, or AI-driven products is a strong plus.