Jobs and Careers

Senior AI Engineer, Finance Systems

New York City, United Statesfull_timeVerifiedPosted 6 Jul 2026

💰 $200,000/yr($150,000/yr – $200,000/yr)

About the role

About Us

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About the Team

Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.

Senior AI Engineer, Finance Systems – Fanatics Collectibles

Reporting to Finance Leadership and partnering directly with Strategic Finance and business function teams across the company, the Forward-Deployed AI Engineer will serve as an embedded AI-native builder — identifying high-impact problems and rapidly delivering practical technology solutions that create immediate business value.

This is a highly hands-on role for someone who thrives in ambiguity, enjoys open-ended problem solving, and operates with a strong builder mentality. The ideal candidate is deeply fluent in modern AI capabilities, comfortable working across evolving technology stacks, and motivated by creating leverage through automation, workflow optimization, and intelligent tooling. Success in this role requires a balance of technical execution, business partnership, rapid iteration, and practical problem-solving.

Solutions built in this role may range from lightweight operational tools and AI-enabled workflows to scalable systems that are later transitioned to broader engineering teams for long-term production support.

Responsibilities:

Partner directly with Strategic Finance and operational business teams to identify inefficiencies, bottlenecks, and high-impact opportunities for AI-enabled solutions.
Rapidly prototype and implement internal tools, workflows, automations, dashboards, and operational systems that drive measurable business impact.
Build AI-native solutions that leverage LLMs, intelligent automation, workflow orchestration, and modern AI tooling to improve operational speed, visibility, and decision-making.
Build integrations and connectors across the tools and platforms each function relies on — including Slack, Microsoft 365, Oracle, Snowflake, Sigma, Airtable, and Notion — to streamline workflows, automate handoffs, and centralize information.
Translate ambiguous business problems into practical technical solutions with a strong focus on speed, usability, and value creation.
Quickly develop fluency in the business context, financial processes, and operational priorities of each function you support — enabling independent problem identification without hand-holding.
Collaborate with finance, operations, and technology stakeholders to iterate quickly and refine solutions based on real-world feedback and evolving business needs.
Work closely with broader engineering and technology teams to transition high-value solutions into scalable, production-ready systems when appropriate.
Evaluate and experiment with emerging AI technologies, tools, and frameworks to continuously improve internal capabilities and operational leverage.
Operate as a trusted technical partner to business leaders, helping shape solution strategy and implementation priorities.