AI Operations Manager

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

As an AI Operations Manager within our Core AI and Machine Learning Group, you will be responsible for governing, tracking, and increasing the overall financial effectiveness of the AI platforms, LLMs (internal and external), and AI software used at Tower Research Capital. This role will focus on cost management, cross-platform attribution, and optimization, and in it, you will be responsible for internal token management, attribution, consolidation, reporting, controls, and governance. You will report directly to the Global Head of Core AI & ML

Key Responsibilities

• Designing and managing the firm’s token management, cost attribution, and chargeback processes; implementing robust tracking and tagging across AI platforms, tools, and usage.

• Defining and implementing AI cost strategies and governance policies aligned with business objectives, including monitoring token-based pricing trends and managing project-level budgets and costs.