Technical Product Manager, Data Science

•••••• is a leading risk and compliance technology company that provides AI powered enterprise-grade risk, due diligence, cyber security and privacy management solutions to financial institutions worldwide. Our clients include some of the largest banks and investment management firms across the Americas, Europe and APAC. Headquartered in Silicon Valley, •••••• has regional offices in New York, India, Australia, and the United Kingdom. Established in 2015, •••••• is a high-growth, venture backed SaaS firm leading the way in innovative generative AI solutions to manage third party risk and due diligence. Position Overview: We are looking for an owner for the accuracy, reliability, and cost-efficiency of the AI behind CentrlX, our agentic platform for Manager Research and Investor Relations teams at investment firms. We have a strong engineering team building the platform: agents, skills, knowledge, automations, connectors, and governance. We are looking for a single owner for output accuracy and efficiency. You will own the model and prompt layer end to end. You will build the evaluation datasets and harnesses that tell us whether a change actually helped, run structured comparisons across model providers on accuracy, latency, and cost, and drive the resulting changes into the product. You will help create and design agents and skills, and work closely with sales and PS in order to help drive standards for prompting and agents, and then feed that back into the product design.…