Staff Product Engineer: AI-Driven LegalTech (London)

Staff Product Engineer: AI-Driven LegalTech (London)

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI-driven product development and shape engineering culture in a fast-paced startup.
  • Company: Few&Far, an innovative startup in the LegalTech space based in London.
  • Benefits: High-ownership role with direct access to founders and impactful decision-making.
  • Other info: Join a dynamic team with opportunities for personal and professional growth.
  • Why this job: Make a real difference in AI-native product development and influence the future of LegalTech.
  • Qualifications: Experience in product engineering and a passion for AI technologies.

The predicted salary is between 70000 - 90000 Β£ per year.

Few&Far in London is seeking a Staff Product Engineer to lead AI-native product development in a fast-moving startup.

You will shape both product and engineering culture from day one, shipping features and defining AI-enabled workflows with agents, while owning critical decisions.

This is a high-ownership role with direct access to founders and a chance to impact the product's direction.

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Staff Product Engineer: AI-Driven LegalTech (London) employer: Few&Far

Join a pioneering AI and robotics startup in London as a Founding Engineer, where you'll have the unique opportunity to shape cutting-edge technology from the ground up. With a strong emphasis on collaboration and innovation, this role offers genuine ownership and the chance to work alongside an exceptional founding team, backed by world-class investors. The vibrant work culture fosters personal growth and encourages tackling complex engineering challenges, making it an ideal environment for those looking to make a meaningful impact in the tech industry.

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Contact Details:

Few&Far Recruitment Team

We think you need these skills to ace Staff Product Engineer: AI-Driven LegalTech (London)

Communication Skills
Problem-Solving Skills
Python
SQL
Data Engineering
ETL/ELT Processes
Data Pipeline Development