Graduate AI Operations Assistant

TransferRoom is a hyper-growth B2B SaaS Marketplace on a mission to change the football transfer market for the better. We do this by empowering football clubs, agents and players to be successful in the transfer market by giving them real-time market intelligence and direct access to a global network of decision-makers.

TransferRoom is market leading and has become a must have for key stakeholders in football’s transfer market. It’s used by 800+ clubs, including Man City, Liverpool and PSG, 550 agencies and 8000 professional players. It has empowered clubs and agents to facilitate over 6000 transfers since launch in 2017.

Brief intro to the role:

We are looking for a recent graduate to join our Artificial Intelligence Legal Operations Lab as a Graduate AI Operations Assistant (12 months FTC). Reporting to the Head of Legal, this role will assist in the launching and operating of innovative products powered by artificial intelligence, all with the aim of increasing the transparency and efficiency of the football transfer process.

This is a unique opportunity to gain hands-on experience in the football industry, working alongside market leaders to shape the future of football transfers through technology.

You will have a demonstrable track record of high attention to detail and verbal reasoning skills and be able to get things done in environments where the objectives are sometimes ambiguous. You’ll be comfortable asking questions proactively so that you are efficient and learn fast. You will be comfortable doing tactical work that doesn’t scale, but at the same time cognizant and forthcoming with suggestions of how products and processes could be changed to enable scale in future. You will also be able to work in a highly confidential environment and demonstrate an ability to work to tight deadlines, while interacting with multiple stakeholders across the business.

What you’ll be doing:

• Contract Review : Analyze and summarize a variety of contracts essential to the football transfer process and the day-to-day management of a football club.

• Operations Support: Collaborate with product, legal, and technical teams to support company operations, including contributing to the development of AI-driven reporting tools.

• Sales Support: Assisting with the production of materials and dashboards used in the sales process and customer onboarding; and ad-hoc customer support when requested.

• Microsoft Office and Google Workspace: Using a wide range of tools including the full Microsoft Office and Google Workspace suites and being able to interact and use a range of different technologies including (but not limited to) artificial intelligence (large language models, natural language processing), agentic AI, prompt engineering and machine learning.

Who you are:

• A recent graduate in any of the following disciplines: Law, Computer Science / Software Engineering, Data Science / Data Analytics, Economics, Business Analytics

• A passionate team player with excellent communication

• Detail-oriented with the ability to handle complex documentation

• Interested in football and familiar with its ecosystem

• Fluent in English, with professional proficiency in a second major European language (not essential

• Ready to work in a confidential environment that requires discretion and respect for customer’s confidential information.

What’s in it for you:

• 12 months FTC
  
• Employee assistance programme
• 25 days holiday plus bank holidays
• Life insurance
• Critical illness
• Pension plan
• Enhanced parental leave
• Learning budget for everyone
• Discounted gym membership
• A generous employee Referral Bonus scheme
• Team building days and events
• Cycle-to-work scheme and an annual travel season ticket loan
• ‘Matched Giving’ programme where we donate when our employees donate
• We are a unique combination of a scale up with security

We are a fast scaling, category creating company with smart teammates who love what they do. With a unique combination as a scale up with security, we have an 86% Employee Satisfaction Score, a Likelihood to Recommend score of 8.3 and a score of 8.8 for how our colleagues rate their relationships with their coworkers.