Technology Transactions Associate β€” AI & Cloud Deals

Technology Transactions Associate β€” AI & Cloud Deals

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Advise on cloud/SaaS agreements and AI contracts for diverse clients.
  • Company: Larson Maddox, a leading firm in technology transactions.
  • Benefits: Competitive salary, professional development, and exposure to top technology lawyers.
  • Other info: Opportunity for significant client exposure and career advancement.
  • Why this job: Join a dynamic team and work on cutting-edge technology projects.
  • Qualifications: 2-6 years PQE in technology transactions and strong communication skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Larson Maddox is seeking a talented Technology Transactions Associate (2-6 PQE) to join our London team, advising on cutting-edge technology projects for a diverse, international client base.

You will handle cloud/SaaS agreements, AI-related contracts, outsourcing, software licensing, and digital infrastructure matters, with significant client exposure and collaboration with market-leading technology lawyers.

Technology Transactions Associate β€” AI & Cloud Deals employer: Larson Maddox

Join a prestigious international law firm in London, renowned for its exceptional Intellectual Property practice, where you will engage in high-stakes patent litigation for leading life sciences companies. The firm fosters a collaborative work culture that prioritises professional growth, offering associates significant client exposure and the opportunity to work on groundbreaking legal matters from the outset. With a commitment to innovation and excellence, this role provides a unique platform for developing your expertise in a dynamic and supportive environment.

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Contact Details:

Larson Maddox Recruitment Team

We think you need these skills to ace Technology Transactions Associate β€” AI & Cloud Deals

Communication Skills
Python
Problem-Solving Skills
SQL
Data Engineering
Attention to Detail
ETL/ELT Processes