Technical Product Owner – AI & Machine Learning

Tradeweb Markets•Jersey City, NJ

3d•$130,000 - $140,000•Hybrid

About The Position

We are looking for a Technical Product Manager to join our AI and Machine Learning Team, focused on delivering innovative, data-driven solutions across trading, analytics, and enterprise technology platforms. This role is highly cross-functional and combines product strategy, project management, stakeholder coordination, and technology delivery within a fast-paced environment. The successful candidate will work closely with engineering, quantitative research, data science, and business teams to drive the execution of AI and machine learning initiatives from concept through deployment.

Requirements

BS, MS, or PhD in Computer Science, Engineering, Mathematics, Data Science, Finance, or a related quantitative discipline
2+ years of experience in technical product management, project management, AI/ML initiatives, or related technology-focused roles
Strong understanding of software development lifecycles, agile project management methodologies, and cross-functional technology delivery
Familiarity with machine learning concepts, multivariate regression techniques, optimization methods, and data-driven product development
Strong analytical and organizational skills with the ability to manage multiple priorities and complex projects simultaneously
Experience working with Python, SQL, Pandas, or related data analysis and reporting tools is preferred
Excellent communication and stakeholder management skills, with the ability to bridge technical and business teams effectively

Nice To Haves

Experience within financial services, trading platforms, or capital markets environments is beneficial but not required

Responsibilities

Partner with senior management, engineering, and quantitative teams to define product strategy, prioritize initiatives, and manage the delivery roadmap for AI and machine learning solutions
Lead cross-functional projects focused on developing and implementing AI-driven pricing, analytics, and workflow optimization capabilities across multiple business areas
Coordinate the end-to-end lifecycle of machine learning initiatives, including requirements gathering, project planning, execution tracking, testing, deployment, and post-release support
Translate complex business requirements into detailed functional specifications and actionable development plans for technical teams
Facilitate collaboration between product, engineering, data science, and business stakeholders to ensure timely and successful project delivery
Monitor project timelines, dependencies, risks, and deliverables while driving issue resolution and maintaining clear communication across teams
Oversee testing, validation, stress testing, and performance monitoring of AI and machine learning models to ensure scalability, reliability, and business effectiveness
Support continuous improvement initiatives by identifying opportunities for automation, enhanced analytics, and operational efficiency improvements