Product Engineer (AI) for Fast-Paced Recruiting Platform

Product Engineer (AI) for Fast-Paced Recruiting Platform

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Metaview

At a Glance

  • Tasks: Own product areas and shape AI behaviour in customer workflows.
  • Company: Metaview, a cutting-edge AI lab based in London.
  • Benefits: Meaningful equity, visa sponsorship, and rapid career growth.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Join a fast-paced team and make a real impact in recruiting.
  • Qualifications: Passion for AI and experience in product development.

The predicted salary is between 80000 - 100000 £ per year.

Metaview, a London-based applied AI lab, builds end-to-end recruiting agents and ships daily with a lightweight process.

You’ll own product areas, shape AI product behavior in customer workflows, and drive improvements in speed, clarity, and value for our users.

We seek owners who thrive in fast-moving teams and cross-functional collaboration.

Join a small, sharp in-person team in London offering meaningful equity, visa sponsorship, and rapid career growth in a category-defining product.

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Product Engineer (AI) for Fast-Paced Recruiting Platform employer: Metaview

Metaview is an exceptional employer that fosters a culture of innovation and ownership, allowing you to take charge of product areas from concept to rollout in the vibrant city of London. With competitive compensation, equity options, and unlimited time off, we prioritise employee well-being and growth, ensuring that your contributions have a meaningful impact on our cutting-edge AI solutions. Join our small, dedicated team where rapid advancement and collaboration are at the heart of what we do.

Metaview

Contact Details:

Metaview Recruitment Team

We think you need these skills to ace Product Engineer (AI) for Fast-Paced Recruiting Platform

Product Ownership
AI Product Development
Cross-Functional Collaboration
User Experience Design
Agile Methodologies
Process Improvement
Data-Driven Decision Making