.About usRavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. RavenPack's products allow clients to enhance returns, reduce risk and increase efficiency by systematically incorporating the effects of public information in their models or workflows. Our clients include the most successful hedge funds, banks, and asset managers in the world!Only candidates with EU legal working status will be considered.About the Role Are you fascinated by data? Are you adept at big data, generative AI, relational data and data analysis? Don't you find it a pain to have to manually query relational data and don't you think that conversational AI should be able to help us automatically get what we want from our data? Would you like to work with a passionate international team in building a world class Data platform that helps customers get exactly what they want from their data? If you answered yes, then you could be a candidate to join the product team at Ravenpack.RavenPack has built a world-class platform for processing both structured and unstructured data, with state-of-the-art classification technology in order to transform it into actionable insights that can be used to boost the productivity of our day to day workflows.As a Senior Product Manager, you will take on a key role in the product team. Your primary initiative will be to build a chat-based AI agent for querying structured data, leveraging LLMs. The role will initially be very hands-on and requires deep knowledge of working with structured data and LLMs. You will be given lots of freedom to run with this project, and will eventually be expected to build a team. You will also be expected to source new data products that can be further integrated and enhance the overall experience.You will work across the firm to sync the teams responsible for building and integrating the new system into a larger productivity platform. Your responsibilities will include research and validation, specification of new features, ensuring the timely delivery of various projects and reporting progress to key stakeholders. You will report directly to the Chief Product Officer and will interact with multiple departments on a daily basis including operations, engineering, ML, QA, design teams, and internal stakeholders
