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
- 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.
- Developing and analyzing comprehensive financial reports to track AI spend, usage metrics, and cost optimization opportunities; communicating insights to senior stakeholders across Trading and Engineering.
- Collaborating with and supporting internal stakeholders to drive cost-efficiency use cases, ensuring optimal utilization of AI tools without financial leakage.
- Collaborating with global AI platforms, providers, and enterprise vendors to review and negotiate contracts, including commercials, usage-based pricing, and committed-use discounts in partnership with Enterprise and Procurement teams.
- Monitoring, troubleshooting, and leading optimization efforts across AI consumption (internal and external LLMs), including model routing and prompt optimization strategies; supporting regional teams for L1 operations and acting as the escalation point for major AI-related incidents.
- Experience in technology cost management, including cost tracking, reporting to stakeholders, cross-platform cost management, and granular cost attribution
- Expertise in AI pricing models, including tokens as a unit of measure, context window weighting, provisioned throughput, and usage-based pricing structures
- Experience with AI tools and platforms, including day-to-day usage and leveraging them for data analytics and operational efficiency
- Knowledge of optimizing cost structures and providing alternative contracting strategies to minimize financial leakage across internal and external LLMs
- Strong problem-solving, strategic thinking, and data-driven decision-making skills, with attention to detail and the ability to manage multiple priorities independently and collaboratively in high-pressure environments
- A background in top buy-side institutions (hedge funds, prop trading firms), with the ability to act as a reliable and dependable partner to internal teams, senior stakeholders, and external counterparties
- Familiarity with specific AI providers and enterprise tools such as OpenAI, Anthropic,
AWS Bedrock, and Cursor - Technical familiarity with AI orchestration frameworks and platforms, specifically
LangChain and LangGraph, and their respective impact on resource consumption - Familiarity with AI observability and inventory systems such as LangSmith, Langfuse,
or Helicone, and cloud-billing platforms such as AWS Cost Explorer
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include:
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.
Tower Research Capital is an equal opportunity employer.
Skills Required
- Bachelor's degree in computer science or related field
- Basic knowledge of Linux and shell command-line tools
- Familiarity with programming languages (C/C++ and Python)
- Ability to notice, analyze, and debug problems quickly
- Strong communication skills
- Experience with trading and the financial markets
What We Do
Founded in 1998 by Mark Gorton, Tower Research Capital is a trading and technology company that has built some of the fastest, most sophisticated electronic trading platforms in the world.
